The document is IBM's response to the White House Office of Science and Technology Policy's request for input on artificial intelligence. It addresses 11 topics, providing an overview of key issues like the use of AI for public good, the social and economic implications of AI, important research gaps, and the need for multi-disciplinary collaboration and open data sets to advance the field safely. It recommends focusing on skills and having a responsible dialogue to develop AI for societal benefit.
The document discusses cognitive systems, including:
1) What constitutes a cognitive system both biologically and technologically.
2) The types of digital cognitive systems that exist, including tools, assistants, collaborators, coaches, and mediators.
3) How to build, understand, and work with cognitive systems, with a focus on gaining experience over time.
Jim Spohrer from IBM gave a keynote presentation on artificial intelligence. Some of the main points included:
- IBM is transforming into a cognitive solutions and cloud platform company and is focusing on intelligence augmentation through technologies like Watson.
- Spohrer discussed definitions of concepts like artificial intelligence, intelligence augmentation, and different types of cognitive systems.
- He provided perspectives on AI from an industry viewpoint and IBM's viewpoint.
- Spohrer summarized IBM's response to a White House request for information on preparing for the future of artificial intelligence.
The document discusses next generation cognitive curriculums and evolving education with cognitive and data sciences. It describes key building blocks for artificial and augmented intelligence including learning, perception, reasoning, interaction and knowledge. It also discusses building blocks for augmented intelligence including science, design, business value, societal impact, and interdisciplinarity. The document presents IBM's cognitive system build approach and types of cognitive system entities. It provides a brief history of AI and discusses challenges in building, understanding and working with cognitive systems.
1) Jim Spohrer from IBM discusses Cognition as a Service (CaaS), where cognitive capabilities from AI such as natural language processing, machine learning, and decision support become available as services in the cloud and on devices.
2) Building cognitive systems is still challenging, but will become easier over the next 10 years as the building blocks of AI improve.
3) Spohrer advocates developing a new curriculum to help people build, understand, and work with cognitive systems as they continue to advance.
The document discusses cognition-as-a-service (CaaS) from a service science perspective. It outlines the evolving capabilities of cognitive systems, from tools to assistants to collaborators and coaches. As cognitive mediators become more advanced, they will be able to understand users better than users understand themselves. The document also examines challenges like building experience for cognitive systems and addressing societal and policy implications as these systems take on more responsibilities. The goal is for cognitive systems to help make users wiser through access to growing cognitive capabilities as a service.
Jim Spohrer (IBM) gave a presentation on cognitive startups and the future of computing. He discussed how machine learning and AI are advancing rapidly, with capabilities like image tagging and captioning already available. By 2035, he predicted "cognitive mediators" will be tools that know users better than they know themselves and help people in their jobs and daily lives. While machines are getting smarter, developing wisdom requires focusing on inspiring students to use new technologies to solve problems. The future will require "T-shaped" thinkers with broad skills and deep expertise to build a better world.
Provides information to users, but has limited capabilities and does not collaborate or make complex decisions.
Collaborator: Works with users as a partner, able to understand tasks and goals, make recommendations, and collaborate to find solutions. However, it does not coach users or mediate between different perspectives.
Coach: Guides and supports users through personalized feedback and recommendations based on their specific needs and goals. A coach understands a user's strengths and weaknesses and helps them improve in all aspects of their lives. However, a coach does not mediate between different perspectives.
Mediator: Facilitates understanding and resolution of conflicts between different individuals or groups. A mediator understands all perspectives involved in a complex situation and helps people find common ground and
The document is IBM's response to the White House Office of Science and Technology Policy's request for input on artificial intelligence. It addresses 11 topics, providing an overview of key issues like the use of AI for public good, the social and economic implications of AI, important research gaps, and the need for multi-disciplinary collaboration and open data sets to advance the field safely. It recommends focusing on skills and having a responsible dialogue to develop AI for societal benefit.
The document discusses cognitive systems, including:
1) What constitutes a cognitive system both biologically and technologically.
2) The types of digital cognitive systems that exist, including tools, assistants, collaborators, coaches, and mediators.
3) How to build, understand, and work with cognitive systems, with a focus on gaining experience over time.
Jim Spohrer from IBM gave a keynote presentation on artificial intelligence. Some of the main points included:
- IBM is transforming into a cognitive solutions and cloud platform company and is focusing on intelligence augmentation through technologies like Watson.
- Spohrer discussed definitions of concepts like artificial intelligence, intelligence augmentation, and different types of cognitive systems.
- He provided perspectives on AI from an industry viewpoint and IBM's viewpoint.
- Spohrer summarized IBM's response to a White House request for information on preparing for the future of artificial intelligence.
The document discusses next generation cognitive curriculums and evolving education with cognitive and data sciences. It describes key building blocks for artificial and augmented intelligence including learning, perception, reasoning, interaction and knowledge. It also discusses building blocks for augmented intelligence including science, design, business value, societal impact, and interdisciplinarity. The document presents IBM's cognitive system build approach and types of cognitive system entities. It provides a brief history of AI and discusses challenges in building, understanding and working with cognitive systems.
1) Jim Spohrer from IBM discusses Cognition as a Service (CaaS), where cognitive capabilities from AI such as natural language processing, machine learning, and decision support become available as services in the cloud and on devices.
2) Building cognitive systems is still challenging, but will become easier over the next 10 years as the building blocks of AI improve.
3) Spohrer advocates developing a new curriculum to help people build, understand, and work with cognitive systems as they continue to advance.
The document discusses cognition-as-a-service (CaaS) from a service science perspective. It outlines the evolving capabilities of cognitive systems, from tools to assistants to collaborators and coaches. As cognitive mediators become more advanced, they will be able to understand users better than users understand themselves. The document also examines challenges like building experience for cognitive systems and addressing societal and policy implications as these systems take on more responsibilities. The goal is for cognitive systems to help make users wiser through access to growing cognitive capabilities as a service.
Jim Spohrer (IBM) gave a presentation on cognitive startups and the future of computing. He discussed how machine learning and AI are advancing rapidly, with capabilities like image tagging and captioning already available. By 2035, he predicted "cognitive mediators" will be tools that know users better than they know themselves and help people in their jobs and daily lives. While machines are getting smarter, developing wisdom requires focusing on inspiring students to use new technologies to solve problems. The future will require "T-shaped" thinkers with broad skills and deep expertise to build a better world.
Provides information to users, but has limited capabilities and does not collaborate or make complex decisions.
Collaborator: Works with users as a partner, able to understand tasks and goals, make recommendations, and collaborate to find solutions. However, it does not coach users or mediate between different perspectives.
Coach: Guides and supports users through personalized feedback and recommendations based on their specific needs and goals. A coach understands a user's strengths and weaknesses and helps them improve in all aspects of their lives. However, a coach does not mediate between different perspectives.
Mediator: Facilitates understanding and resolution of conflicts between different individuals or groups. A mediator understands all perspectives involved in a complex situation and helps people find common ground and
The two-day AAAI Winter Conference focused on cognitive assistance and autonomous systems for government and public sector applications. Day 1 included sessions on legal and justice assistance, education assistance, and healthcare assistance. Day 2 featured a keynote on future science and public sector services, and sessions on cybersecurity, defense and intelligence applications, aviation and space applications, and designing moral autonomous vehicles. There were many panel discussions on progress, opportunities and challenges across various domains. Experts from IBM, MITRE, NASA, FAA and other organizations presented on their cognitive technologies and research.
This document provides an overview of IBM's work in cognitive computing and artificial intelligence. It discusses IBM's research areas like machine learning, natural language processing, and knowledge representation. It provides a brief history of AI and defines the differences between AI and intelligence augmentation. The document outlines IBM's vision of cognitive systems augmenting workers in different occupations and industries. It showcases some of IBM's cognitive products and services like Watson Discovery Advisor and user modeling capabilities. Overall, the document presents IBM's perspective on the progress and future of cognitive computing.
The document discusses cognition-as-a-service (CaaS) from a service science perspective. It describes how cognitive systems are evolving from tools to assistants, collaborators, coaches and mediators. It also discusses how cognitive capabilities are being applied across different domains like education, healthcare, transportation and more. The talk outlines challenges and opportunities around developing cognitive systems and ensuring their safe, fair and beneficial use.
This document summarizes a presentation about cognitive systems and startup opportunities. It discusses how cognitive building blocks like machine learning, natural language processing, and question answering are improving rapidly. By 2035, it suggests cognitive mediators could help anyone build a question answering system for a textbook in a day. The presentation also discusses opportunities for startups in areas like cognitive assistants for various occupations. It envisions a future where most people have 100 digital workers managed by cognitive mediators that know people better than themselves.
This document discusses cognition-as-a-service (CaaS) from a service science perspective. It provides a brief history of artificial intelligence and outlines the building blocks of intelligence, including augmented science, design, business, and societal impact. The document envisions future "cognitive mediator" tools that could serve as assistants, collaborators, coaches, and mediators. It also discusses the progression of cognitive systems from simple tools to more advanced mediators and the need to consider rights and responsibilities as these systems are developed.
The document discusses the history and future of artificial intelligence and cognitive computing, including milestones from the Dartmouth Conference in 1956 to modern systems like Watson, and a vision for the role of cognitive systems in augmenting human intelligence and capabilities by 2035 through tools like cognitive mediators. It also addresses the types and capabilities of different digital cognitive systems, partnerships in AI research, and applications of cognitive computing in areas like education, healthcare and more.
The document discusses preparing for the future of artificial intelligence. It outlines the timeline for solving different AI problems, with commonsense reasoning expected around 2023 and intelligence augmentation between 2027-2035. The document also discusses who the current AI leaders are in terms of regions, companies, and leaderboards. Some of the biggest benefits of AI are seen as access to expertise, improved labor productivity, and better choices. Potential risks include job loss in the short term and issues around super intelligence or bad actors. Other technologies like augmented reality, blockchain, and new material/energy systems may have an even bigger impact. The document outlines implications for individuals, businesses, industries, cities, states and nations and suggests preparing by learning, keeping AI open
The document discusses the development of smarter service systems through cognitive augmentation. It covers:
1) The growing market for exoskeletons and other robotic technologies that will be integrated into our lives through devices like clothing, vehicles, homes, and cities.
2) How cognitive systems can augment people and organizations, making "smart service systems" that enhance human performance.
3) The need to develop "intelligence augmentation" through partnerships between people and intelligent machines, rather than just focusing on artificial intelligence alone.
Jim Spohrer from IBM gave a presentation at the NSF about the future of AI and education. He discussed that AI progress is being measured using open leaderboards and benchmarks. The timeline for solving difficult AI problems like commonsense reasoning and learning from reading is estimated to be between 2021-2030. The biggest benefits of AI will be increased productivity and access to expertise, while the main risks are job loss and potential for misuse. Other technologies like augmented reality may have an even bigger impact. Stakeholders in AI include individuals, businesses, and governments. To prepare for AI, people should learn skills like coding and understanding open source tools and data.
This document discusses the future of artificial intelligence and cognitive systems. It presents a timeline for solving various AI problems from 2012 to 2039. It also discusses experts who may be surprised if certain problems are solved faster or slower than predicted. The document outlines leaders and benchmarks in AI progress. It discusses the potential benefits of AI, such as increased productivity and access to expertise, as well as risks like job loss and potential issues from superintelligence. It suggests strategies for stakeholders to prepare for and benefit from advances in AI.
Jim Spohrer gave a presentation about smarter and wiser service systems. He discussed how building blocks for artificial intelligence like machine learning and cognitive computing are advancing rapidly. However, he questions whether this is making people wiser. By 2035, cognitive mediators could be tools, assistants, collaborators and coaches that help all people in all roles. This could enable a reality where all entities in a network use cognitive mediators to enhance interactions and co-create value. The goal is assisting individuals and organizations in developing wiser service systems that empower employees, customers and citizens.
This document discusses the development of smart, people-centered service systems and cognitive assistants for all occupations. It describes how computing capabilities have developed from early computer programs in the 1970s to modern capabilities like image tagging and automatic captioning. The document envisions continued growth in cognitive abilities, with tools being able to build basic question answering systems within a week by 2025 and advanced systems within a day by 2035. It proposes that by 2035, people will have "cognitive mediators" that act as tools, assistants, collaborators and coaches. The goal is for wise service systems where all entities use cognitive mediators to enhance value creation through interactions and empathy. The document argues this will require developing future-ready, "T-
The document discusses the future of skills and talent needed for Industry 4.0. It suggests that future workers will need to have T-shaped skills with both depth in their core discipline and breadth across other areas. Workers will also need skills in empathy, teamwork, and using new "building blocks" like cognitive mediators and AI assistants. By 2035, these cognitive mediators could become common tools that help people collaborate and innovate together on solving grand challenges.
The document discusses preparing for the future of artificial intelligence. It provides a timeline for solving major AI problems from 2012 to 2035. Leaders in AI are discussed as China, the US, Europe, and other regions. Companies like Microsoft, Google, and IBM are highlighted. The biggest benefits of AI are seen as access to expertise, improved productivity and collaborations. Risks include potential job losses and risks from bad actors if superintelligence is achieved. Other technologies like augmented reality, blockchain, and new materials/energy systems may have an even bigger impact. Stakeholders that need to prepare include individuals, businesses, industries, and governments at all levels.
The document discusses the potential for cognitive systems and cognitive mediators to enhance human capabilities and help address societal challenges. It describes how machine learning and AI are advancing rapidly, with capabilities like image recognition and question answering growing quickly. By 2035, the presentation suggests cognitive mediators could be tools that know users well and help people in various jobs and roles. The document outlines a vision of smarter service systems and industry where cognitive systems and mediators help improve value co-creation and capabilities.
The document discusses the future of artificial intelligence and outlines key topics. It notes that narrow AI focused on pattern recognition is developing rapidly due to increased computing power and data, while broad, human-level AI will be much more difficult to achieve and is estimated to still be over a decade away. The document also examines the timeline and challenges of progressing from current narrow AI to advanced artificial intelligence, identifies leading organizations and countries in AI research and development, and discusses some of the potential benefits and risks of AI technology. It emphasizes the importance of open data, models and code in advancing AI for the benefit of all.
The document discusses progress being made in artificial intelligence, including timelines for when AI may reach human-level capabilities in different areas, who the leaders are in driving AI progress, and how individuals and organizations can prepare for the future of AI by learning skills like programming and participating in online AI challenges and leaderboards.
The document discusses engineering robots and cognitive systems to augment humans and create smarter service systems, highlighting how cognitive tools can take various forms from assistants to mediators and how they will continue improving over time as they gain more experience and people work together with these systems.
Empowering makers in the cognitive era 20161203 v5ISSIP
1) The document discusses how technology has empowered and augmented human capabilities over time, from simple machines to today's cognitive systems.
2) It argues that in the future, humans will need to collaborate with machines and develop "T-shaped" skill profiles with both broad and deep skills to remain competitive as machines continue advancing.
3) The Bluemix Hackathon aims to explore the development of T-shaped skills through teamwork and using cognitive services, with the goal that the results will be greater than the sum of individual contributions.
The two-day AAAI Winter Conference focused on cognitive assistance and autonomous systems for government and public sector applications. Day 1 included sessions on legal and justice assistance, education assistance, and healthcare assistance. Day 2 featured a keynote on future science and public sector services, and sessions on cybersecurity, defense and intelligence applications, aviation and space applications, and designing moral autonomous vehicles. There were many panel discussions on progress, opportunities and challenges across various domains. Experts from IBM, MITRE, NASA, FAA and other organizations presented on their cognitive technologies and research.
This document provides an overview of IBM's work in cognitive computing and artificial intelligence. It discusses IBM's research areas like machine learning, natural language processing, and knowledge representation. It provides a brief history of AI and defines the differences between AI and intelligence augmentation. The document outlines IBM's vision of cognitive systems augmenting workers in different occupations and industries. It showcases some of IBM's cognitive products and services like Watson Discovery Advisor and user modeling capabilities. Overall, the document presents IBM's perspective on the progress and future of cognitive computing.
The document discusses cognition-as-a-service (CaaS) from a service science perspective. It describes how cognitive systems are evolving from tools to assistants, collaborators, coaches and mediators. It also discusses how cognitive capabilities are being applied across different domains like education, healthcare, transportation and more. The talk outlines challenges and opportunities around developing cognitive systems and ensuring their safe, fair and beneficial use.
This document summarizes a presentation about cognitive systems and startup opportunities. It discusses how cognitive building blocks like machine learning, natural language processing, and question answering are improving rapidly. By 2035, it suggests cognitive mediators could help anyone build a question answering system for a textbook in a day. The presentation also discusses opportunities for startups in areas like cognitive assistants for various occupations. It envisions a future where most people have 100 digital workers managed by cognitive mediators that know people better than themselves.
This document discusses cognition-as-a-service (CaaS) from a service science perspective. It provides a brief history of artificial intelligence and outlines the building blocks of intelligence, including augmented science, design, business, and societal impact. The document envisions future "cognitive mediator" tools that could serve as assistants, collaborators, coaches, and mediators. It also discusses the progression of cognitive systems from simple tools to more advanced mediators and the need to consider rights and responsibilities as these systems are developed.
The document discusses the history and future of artificial intelligence and cognitive computing, including milestones from the Dartmouth Conference in 1956 to modern systems like Watson, and a vision for the role of cognitive systems in augmenting human intelligence and capabilities by 2035 through tools like cognitive mediators. It also addresses the types and capabilities of different digital cognitive systems, partnerships in AI research, and applications of cognitive computing in areas like education, healthcare and more.
The document discusses preparing for the future of artificial intelligence. It outlines the timeline for solving different AI problems, with commonsense reasoning expected around 2023 and intelligence augmentation between 2027-2035. The document also discusses who the current AI leaders are in terms of regions, companies, and leaderboards. Some of the biggest benefits of AI are seen as access to expertise, improved labor productivity, and better choices. Potential risks include job loss in the short term and issues around super intelligence or bad actors. Other technologies like augmented reality, blockchain, and new material/energy systems may have an even bigger impact. The document outlines implications for individuals, businesses, industries, cities, states and nations and suggests preparing by learning, keeping AI open
The document discusses the development of smarter service systems through cognitive augmentation. It covers:
1) The growing market for exoskeletons and other robotic technologies that will be integrated into our lives through devices like clothing, vehicles, homes, and cities.
2) How cognitive systems can augment people and organizations, making "smart service systems" that enhance human performance.
3) The need to develop "intelligence augmentation" through partnerships between people and intelligent machines, rather than just focusing on artificial intelligence alone.
Jim Spohrer from IBM gave a presentation at the NSF about the future of AI and education. He discussed that AI progress is being measured using open leaderboards and benchmarks. The timeline for solving difficult AI problems like commonsense reasoning and learning from reading is estimated to be between 2021-2030. The biggest benefits of AI will be increased productivity and access to expertise, while the main risks are job loss and potential for misuse. Other technologies like augmented reality may have an even bigger impact. Stakeholders in AI include individuals, businesses, and governments. To prepare for AI, people should learn skills like coding and understanding open source tools and data.
This document discusses the future of artificial intelligence and cognitive systems. It presents a timeline for solving various AI problems from 2012 to 2039. It also discusses experts who may be surprised if certain problems are solved faster or slower than predicted. The document outlines leaders and benchmarks in AI progress. It discusses the potential benefits of AI, such as increased productivity and access to expertise, as well as risks like job loss and potential issues from superintelligence. It suggests strategies for stakeholders to prepare for and benefit from advances in AI.
Jim Spohrer gave a presentation about smarter and wiser service systems. He discussed how building blocks for artificial intelligence like machine learning and cognitive computing are advancing rapidly. However, he questions whether this is making people wiser. By 2035, cognitive mediators could be tools, assistants, collaborators and coaches that help all people in all roles. This could enable a reality where all entities in a network use cognitive mediators to enhance interactions and co-create value. The goal is assisting individuals and organizations in developing wiser service systems that empower employees, customers and citizens.
This document discusses the development of smart, people-centered service systems and cognitive assistants for all occupations. It describes how computing capabilities have developed from early computer programs in the 1970s to modern capabilities like image tagging and automatic captioning. The document envisions continued growth in cognitive abilities, with tools being able to build basic question answering systems within a week by 2025 and advanced systems within a day by 2035. It proposes that by 2035, people will have "cognitive mediators" that act as tools, assistants, collaborators and coaches. The goal is for wise service systems where all entities use cognitive mediators to enhance value creation through interactions and empathy. The document argues this will require developing future-ready, "T-
The document discusses the future of skills and talent needed for Industry 4.0. It suggests that future workers will need to have T-shaped skills with both depth in their core discipline and breadth across other areas. Workers will also need skills in empathy, teamwork, and using new "building blocks" like cognitive mediators and AI assistants. By 2035, these cognitive mediators could become common tools that help people collaborate and innovate together on solving grand challenges.
The document discusses preparing for the future of artificial intelligence. It provides a timeline for solving major AI problems from 2012 to 2035. Leaders in AI are discussed as China, the US, Europe, and other regions. Companies like Microsoft, Google, and IBM are highlighted. The biggest benefits of AI are seen as access to expertise, improved productivity and collaborations. Risks include potential job losses and risks from bad actors if superintelligence is achieved. Other technologies like augmented reality, blockchain, and new materials/energy systems may have an even bigger impact. Stakeholders that need to prepare include individuals, businesses, industries, and governments at all levels.
The document discusses the potential for cognitive systems and cognitive mediators to enhance human capabilities and help address societal challenges. It describes how machine learning and AI are advancing rapidly, with capabilities like image recognition and question answering growing quickly. By 2035, the presentation suggests cognitive mediators could be tools that know users well and help people in various jobs and roles. The document outlines a vision of smarter service systems and industry where cognitive systems and mediators help improve value co-creation and capabilities.
The document discusses the future of artificial intelligence and outlines key topics. It notes that narrow AI focused on pattern recognition is developing rapidly due to increased computing power and data, while broad, human-level AI will be much more difficult to achieve and is estimated to still be over a decade away. The document also examines the timeline and challenges of progressing from current narrow AI to advanced artificial intelligence, identifies leading organizations and countries in AI research and development, and discusses some of the potential benefits and risks of AI technology. It emphasizes the importance of open data, models and code in advancing AI for the benefit of all.
The document discusses progress being made in artificial intelligence, including timelines for when AI may reach human-level capabilities in different areas, who the leaders are in driving AI progress, and how individuals and organizations can prepare for the future of AI by learning skills like programming and participating in online AI challenges and leaderboards.
The document discusses engineering robots and cognitive systems to augment humans and create smarter service systems, highlighting how cognitive tools can take various forms from assistants to mediators and how they will continue improving over time as they gain more experience and people work together with these systems.
Empowering makers in the cognitive era 20161203 v5ISSIP
1) The document discusses how technology has empowered and augmented human capabilities over time, from simple machines to today's cognitive systems.
2) It argues that in the future, humans will need to collaborate with machines and develop "T-shaped" skill profiles with both broad and deep skills to remain competitive as machines continue advancing.
3) The Bluemix Hackathon aims to explore the development of T-shaped skills through teamwork and using cognitive services, with the goal that the results will be greater than the sum of individual contributions.
The document discusses understanding cognitive systems. It begins by asking what biological and digital cognitive systems are. It then discusses how to build, understand, and work with both biological and digital cognitive systems. The presenter outlines steps toward developing a next generation cognitive curriculum, including types of digital cognitive systems and potential courses. These range from introductory courses on building basic question answering systems to more advanced courses on using cognitive tools and assistants in various professional fields.
This document discusses the evolution of different types of systems from a natural perspective to service systems. It describes the emergence of atoms, molecules, and life in natural systems over billions of years. Cognitive systems emerged more rapidly through human intelligence and learning. Service systems established rights and responsibilities between individuals and institutions. Smart service systems apply technologies and governance to avoid waste. Wise service systems aim for the emergence of multi-generational human values through collaboration between humans and machines. The document suggests this framework could provide insights into the speed of evolution in different systems.
This document discusses understanding cognitive systems. It begins by defining biological cognitive systems as those found in humans and animals, involving brains and evolution. Digital cognitive systems are defined as those built using computers, algorithms, and design. The document outlines steps to build, understand, and work with both biological and digital cognitive systems. It proposes a next generation cognitive curriculum focused on building intelligence. Finally, it reviews types of digital cognitive systems and existing AI courses.
The lecture discusses the convergence of biological and digital cognitive systems into one world. It recaps the previous lecture which described biological cognitive systems (BCS) that interact and learn through experience over time, whereas digital cognitive systems (DCS) are currently programmed. However, DCS are now beginning to interact and learn from their environment and each other, as well as from BCS, similarly to how BCS learn. The future will involve designing socio-technical systems that fit DCS into BCS personal and professional lives through smart/wise service systems.
(1) The building blocks are getting better for the next generation of makers
(2) T-shaped talent is what IBM looks for, and people with lots of ideas! - Whole New Engineer Related
(3) The AI building blocks are getting better too
(4) The next generation can build an amazing world
(5) However, they need to wrestle with ethical decisions - and Whole New Engineer topic, for sure
(6) Q&A
This document outlines an agenda for a hands-on workshop on systemic design. The workshop will introduce participants to the systemic design toolkit and have them work through cases. It will include presentations on systemic design and the toolkit, identifying leverage points in a food waste system case, developing intervention strategies, and creating generic and contextual intervention models. Participants will present their models and discuss how the toolkit and approach could be applied and improved. The goal is to help participants solve complex challenges using a solution-oriented systemic design process.
This is the presentation of the Juan Cruz-Benito’s PhD “On data-driven systems analyzing, supporting and enhancing users’ interaction and experience” that was defended on September 3rd, 2018 in the Faculty of Sciences at University of Salamanca Spain. This PhD was graded with the maximum qualification “Sobresaliente Cum Laude”.
Guest lecture for
Course: Front Lines on Adoption of Digital and AI-based Service Offerings
Course URL: https://www.nhh.no/en/courses/front-lines-on-adoption-of-digital-and-ai-based-services/
Prof Tor Andreassen LI URL: https://www.linkedin.com/in/tor-wallin-andreassen-1aa9031/
Speaker: Jim Spohrer
Date: Tuesday April 18, 2023
Place: UC Santa Cruz - Silicon Valley
Title: "Generative AI and Design: From Present Practice to Future Vision”
Abstract: "AI upskilling is a top priority for everyone who wishes to improve their productivity and creativity. I will share some simple examples of how I use generative AI tools today in my work; as well as who I follow to learn more advanced tricks. Despite today's many limitations, AI tool capabilities will continue to improve rapidly (including a new explosion of smartphones apps), so it is important to understand how AI may disrupt work, especially creative work (see for example this Harvard Business Review post - https://hbr.org/2023/04/how-generative-ai-could-disrupt-creative-work). With the larger goal of humanity-centered design (beyond human-centered design), all responsible actors can learn to invest systematically and wisely in becoming better future versions of themselves, with improved win-win interaction and change processes that maximize benefits and minimize harms to diverse stakeholders. In conclusion, I will share the X+AI vision (described in my co-authored book 'Service in the AI Era: Science, Logic, and Architecture Perspectives'), which describes a world design where we all possess a digital twin of ourselves - our trusted cognitive mediators."
Hcic muller and liao - participatory design fictionsMichael Muller
The document discusses using design fictions to explore ethics and values for robots and agents through participatory design. It provides background on value sensitive design, participatory design, and design fictions approaches. It describes initial trials using design fictions around nanny bots and eldercare bots that engaged participants in discussing values like reliability and trustworthiness. The document advocates bringing future users into the process as co-creators of design fictions to represent their own values for emerging technologies.
University Public Driven Applications - Big Data and Organizational Design maria chiara pettenati
This document discusses improving access to and use of big data for university and public applications. It summarizes the discussions of a working group on this topic. The group examined current approaches to big data, potential future applications, and challenges. Recommendations focus on developing interdisciplinary education programs to train experts, providing open access to large datasets, and establishing frameworks and standards to support big data analysis. The goal is to leverage big data for addressing societal problems in areas like healthcare, transportation and the environment.
This document provides an overview of the Information Systems Analysis and Modeling module. The module aims to help students understand tools and techniques used in information systems development, analyze and design systems, and evaluate methodologies. It covers topics such as requirements determination, object-oriented analysis, conceptual and physical design, and comparing methodologies. Students will be assessed through an exam, critiques of readings, and a requirements analysis assignment. Reading materials include textbooks on information systems development and object-oriented software engineering.
The document summarizes Jim Spohrer's presentation on service provision and technology in service systems from a service science perspective. Some key points:
- Better models are needed to understand the increasingly complex and interconnected world from various perspectives including physical, social, virtual, organizational, and technological.
- Human-centered design should evolve to humanity-centered design by focusing on entire ecosystems of people, living things, and the environment with a long-term systems view.
- Value co-creation is accelerated when large numbers of skilled people with advanced technology have a safe, ethical, and sustainable environment for interaction and change.
- Upskilling is moving from individual skills to skills extended with AI tools across knowledge areas
The document provides an overview of data science, big data, data mining, and data mining techniques. It defines data science as a multi-disciplinary field that uses scientific methods to extract knowledge from structured and unstructured data. Big data is described as large, diverse datasets that are too large for traditional databases to handle. Common data mining tasks like prediction, classification, clustering and association rule mining are summarized. Finally, specific techniques like decision trees, k-means clustering, and association rule mining are overviewed.
This document discusses a webinar on strategic planning and directions for libraries over the next 3-5 years. The webinar addressed how libraries can support emerging technologies like artificial intelligence, augmented reality, and mobile devices. It also discussed how libraries can empower users by supporting new media formats, open educational resources, and third party platforms. Finally, the webinar covered privacy and legal concerns regarding user data collection and protection across different learning systems.
Building an Equitable Tech Future - By ThoughtWorks BrisbaneThoughtworks
At the heart of ThoughtWorks is an ambitious mission: to be a proactive agent of progressive change in the world. Aware of our own privilege, we strive to see the world from the perspective of the oppressed, the powerless and the invisible.
With QUT, here in Brisbane, we’re kicking off a series of research, projects, and conversations about the social impact of tech trends, with a view to building a more equitable tech future. Some of these topics include:
- Algorithmic accountability, transparency, bias & inclusion
- Responsible data practices (privacy and ownership of data)
- Automation and the future of work
- Data use in social media and elections
- Fake news and echo chambers
- Regulating decentralised technologies
- Blockchain for good
- End-user autonomy and privacy
Slides from: Felicity Ruby, Eru Penkman, Clayton Nyakana,
Assoc. Prof. Nic Suzor (QUT) & Dr. Monique Mann (QUT)
Implementing IT Solutions for Disaster Management (SahanaCamp 1.2)AidIQ
This document outlines the challenges and best practices for implementing IT solutions for disaster management. Some key challenges include uncertain and changing conditions during disasters, communication gaps between organizations and IT providers, and limited time and resources. The document recommends engaging end users during all stages of the software development cycle, from initial requirements gathering to ongoing support. It emphasizes listening to users, testing software early and often with users, and providing training that is interactive and collects feedback to ensure the IT solutions meet real user needs and create value for them.
Ethical Considerations in the Design of Artificial IntelligenceJohn C. Havens
A presentation for IEEE's Ethics Symposium happening in Vancouver, May 2016. Featuring presentations from John C. Havens, Mike Van der Loos, John P. Sullins, and Alan Mackworth.
Jim Spohrer discussed the need for integrated higher education that combines liberal arts with science, technology, engineering, and math to create a future-ready workforce. An integrated curriculum would develop students' depth in one area and breadth across disciplines through project-based, multidisciplinary work. This produces T-shaped professionals with both deep skills and the ability to collaborate across fields. Employers seek lifelong learners who can integrate resources and adapt to changing needs, qualities cultivated through an integrated education model.
This document provides an overview of the Human Centered Computing course IFI7172. The course aims to understand how computer technologies impact and are impacted by society. It takes a multidisciplinary approach and focuses on human, social, and cultural aspects of technology. The course covers topics like sociotechnical systems, technology acceptance, and innovation diffusion through lectures, activities, discussions, and case studies. Students are assessed based on participation, readings, discussions, case studies, and a final presentation. The goal is to study how technologies affect humans and society using human-centered methodologies.
New Perspectives on Social Media: Putting Our ‘Known Unknowns’ on the MapAxel Bruns
This document discusses new approaches to researching social media at scale using data mining and network analysis techniques. It notes that while traditional qualitative and small-scale quantitative research on social media provides insights, there is a need to study phenomena like communities and user behaviors over large populations and extended timeframes. The document outlines tools like crawlers, scrapers, and network/text analyzers that can access and analyze massive amounts of publicly available social media data. It provides examples of how such techniques could shed light on dynamics in domains like blogs, music listening, and Wikipedia editing. The document calls for more interdisciplinary work at the intersection of cultural studies, computer science, and research technologies to fully realize the potential of these new approaches.
Opportunities and methodological challenges of Big Data for official statist...Piet J.H. Daas
1) The document discusses opportunities and challenges of using Big Data for official statistics. It describes Big Data as data that is difficult to collect, store, or process using conventional statistical systems due to issues of volume, velocity, structure, or variety.
2) The author outlines their experiences at Statistics Netherlands using various Big Data sources like traffic sensor data, mobile phone data, and social media data. They discuss methodological challenges in accessing and analyzing large volumes of data, dealing with noisy and unstructured data, and addressing issues of selectivity.
3) The document emphasizes the need for new skills like data science, high performance computing, and people with open and pragmatic mindsets to work with Big Data. It also addresses privacy
Spohrer on AI for SIRs Post 125 20240618 v6.pptxISSIP
Sons in Retirement (SIRs)
Post 125 San Jose
Host - Gene Plevyak
URL: https://sirinc2.org/branch125/
We are SIR Westgate Branch 125
We meet on the third Tuesday of the month
at the Three Flames Restaurant
1547 Meridian Ave., San Jose
Fellowship Hour: 11:00 AM
Host Santokh Badesha: https://www.linkedin.com/in/santokh-badesha-24b72916/
Recommended Readings (If Possible, Skim Before the Talk)
Patent: Management of Usage Costs of a Resource (IBM)
Jim Spohrer patent: Graphical Interface for Interacting Constrained Actors (Apple)
Jim Spohrer's Google Scholar Profile, includes open publications as well as patents
Apple's ATG Authoring Tools - Balancing Open and Proprietary Work
Forbes - Cognitive World
AI Magazine - Role of Open Source in AI
AI and Education 20240327 v16 for Northeastern.pptxISSIP
Prof. Mark L. Miller (https://www.linkedin.com/in/mlmiller751/), Northeastern University, class on AI and Education
Speaker: Jim Spohrer (https://www.linkedin.com/in/spohrer/)
===
Speaker: Dr. Jim Spohrer, retired Apple and IBM executive, currently Board of Directors for ISSIP.org (International Society of Service Innovation Professionals).
Title: AI and Education: A Historical Perspective and Possible Future Directions
Abstract: This talk will briefly survey my 50 years working in the area of AI & Education. At MIT (1974- 1978), MIT's summer EXPLO schools for AI and entrepreneurship classes. At Verbex (1978-1982), speech recognition, language models, early generative AI. At Yale (1982-1989), MARCEL, a generate- test-and-debug architecture and student model of programming bugs. At Apple (1989-1998), from content (SK8) to community (EOE) to context (WorldBoard). At IBM (1999 - 2021), service science and open source AI. At ISSIP (2021-present), generative AI and digital twins.
Bio:Jim’s Bio (142 words):
Jim Spohrer is a student of service science and open-source, trusted AI. He is a retired industry executive (Apple, IBM), who is a member of the Board of Directors of the non-profit International Society of Service Innovation Professionals (ISSIP). At IBM, he served as Director for Open Source AI/Data, Global University Programs, IBM Almaden Service Research, and CTO IBM Venture Capital Relations Group. At Apple, he achieved Distinguished Engineer Scientist Technologist (DEST) for authoring and learning platforms. After MIT (BS/Physics), he developed speech recognition systems at Verbex (Exxon), then Yale (PhD/Computer Science AI). With over ninety publications and nine patents, awards include AMA ServSIG Christopher Lovelock Career Contributions to the Service Discipline, Evert Gummesson Service Research, Vargo-Lusch Service-Dominant Logic, Daniel Berg Service Systems, and PICMET Fellow for advancing service science. In 2021, Jim was appointed a UIDP Senior Fellow (University-Industry Demonstration Partnership).
Readings:Apple's ATG Authoring Tools:
URL: https://dl.acm.org/doi/pdf/10.1145/279044.279173 Blog: WorldBoard
URL: https://service-science.info/archives/2060 Blog: Reflecting on Generative AI and Digital Twins
URL: https://service-science.info/archives/6521 Book: Service in the AI Era
Attached: Pages 46-54.Video: Speech Recognition (History)
URL: https://youtu.be/G9z4VAsw_kw
Thanks, -Jim
--Jim Spohrer, PhDBoard of Directors, ISSIP (International Society of Service Innovation Professionals) Board of Directors, ServCollab ("Serving Humanity Through Collaboration")Senior Fellow, UIDP ("Strengthening University-Industry Partnerships")Retired Industry Executive (Apple, IBM)
March 20, 2024
Host Ganesan Narayanasamy (https://www.linkedin.com/in/ganesannarayanasamy/)
Uploaded here:
===
Event 20230320
https://www.linkedin.com/posts/ganesannarayanasamy_productnation-semiconductorproductnation-activity-7174119132114620418-jvpx
Themed Shaping a Sustainable $1 Trillion Era, semicondynamics.org 2024 will gather industry experts on March 20th at Milpitas, California , for insights into the latest trends and innovations Accelerating AI with Semiconductor RTL Front end services and workforce development. The event will feature keynotes from the Semiconductor ecosystem, academia and Industries.
March 20, 2024
Host Ganesan Narayanasamy (https://www.linkedin.com/in/ganesannarayanasamy/)
Uploaded here:
===
Event 20230320
https://www.linkedin.com/posts/ganesannarayanasamy_productnation-semiconductorproductnation-activity-7174119132114620418-jvpx
Themed Shaping a Sustainable $1 Trillion Era, semicondynamics.org 2024 will gather industry experts on March 20th at Milpitas, California , for insights into the latest trends and innovations Accelerating AI with Semiconductor RTL Front end services and workforce development. The event will feature keynotes from the Semiconductor ecosystem, academia and Industries.
Jim Spohrer is an advisor to industry, academia, governments, startups and non-profits on topics of AI upskilling, innovation strategy, and win-win service in the AI era. He is a retired IBM executive and was previously the director of IBM's open-source AI developer ecosystem effort. In this talk, Spohrer discusses topics such as how to keep up with accelerating change, verifying results from generative AI, and understanding how generative AI works through concepts like monkeys at typewriters in high dimensional spaces. He emphasizes balancing hype with realism and doing work alongside gaining knowledge.
This document contains notes from a presentation by Jim Spohrer on leadership, career experiences, and technology topics. The presentation covers collaborating with others, teamwork practices, storytelling, communication skills, leadership habits and mindsets. It includes links to Spohrer's online profiles and resources. Tables provide estimates of increasing GDP per employee over time and a timeline of Spohrer's career highlights and accomplishments in the fields of service science and artificial intelligence.
It my pleasure to be with you all today – thanks to my host for the opportunity to speak with you all today.
Host: Leonard Walletzky <qwalletz@fi.muni.cz> (https://www.linkedin.com/in/leonardwalletzky/) +420 549 49 7690
Google Scholar: https://scholar.google.com/citations?user=aUvbsmwAAAAJ&hl=cs
Katrina Motkova (https://www.linkedin.com/in/kateřina-moťková-mba-a964a3175/en/?originalSubdomain=cz)
Speaker: Jim Spohrer <spohrer@gmail.com> (https://www.linkedin.com/in/spohrer/) +1-408-829-3112
I am Jim Spohrer, a retired Apple and IBM Executive, and currently a UIDP Senior Fellow, on the Board of Directors of ISSIP and ServCollab.
I am retired, meaning my primary activities are family-oriented – families are the oldest and most important type of service systems
I volunteer to help non-profits, mentor students, professionals, and retiree (some in retirement communities where the average age is 85) on AI & service science
My hobbies are hiking, reading, programming, and building my AI digital twin and humanoid robots for maintaining farms and farming equipment.
My hobbies are also trying to understand as much as I can about the system called the universe and mult-verse, and robots to rapidly rebuild civilization including themselves from scratch.
2001 - Nonzero: The Logic of Human Desitiny (Wright) - https://en.wikipedia.org/wiki/Nonzero:_The_Logic_of_Human_Destiny
2015 - Geek Heresy: Rescuing Social Change from the Cult of Technology - https://www.amazon.com/Geek-Heresy-Rescuing-Social-Technology/dp/161039528X
2021 - Humankind: A Hopeful History (Bregman) - https://en.wikipedia.org/wiki/Humankind:_A_Hopeful_History
Humankind - https://www.amazon.com/Humankind-Hopeful-History-Rutger-Bregman/dp/0316418536
Humankind Book Review - https://service-science.info/archives/5654
2022 - Service in the AI Era: Science, Logic, and Architecture Perspectives (2022) by Spohrer, Maglio, Vargo, Warg - https://www.amazon.com/Service-AI-Era-Architecture-Perspectives/dp/1637423039
2023 - Design for a Better World: Meaningful, Sustainable, Humanity-Centered (2023) by Don Norman - https://www.amazon.com/Design-Better-World-Meaningful-Sustainable/dp/0262047950/
It my pleasure to be with you all today – thanks to my host for the opportunity to speak with you all today.
Host: Leonard Walletzky <qwalletz@fi.muni.cz> (https://www.linkedin.com/in/leonardwalletzky/) +420 549 49 7690
Google Scholar: https://scholar.google.com/citations?user=aUvbsmwAAAAJ&hl=cs
Katrina Motkova (https://www.linkedin.com/in/kateřina-moťková-mba-a964a3175/en/?originalSubdomain=cz)
Speaker: Jim Spohrer <spohrer@gmail.com> (https://www.linkedin.com/in/spohrer/) +1-408-829-3112
I am Jim Spohrer, a retired Apple and IBM Executive, and currently a UIDP Senior Fellow, on the Board of Directors of ISSIP and ServCollab.
I am retired, meaning my primary activities are family-oriented – families are the oldest and most important type of service systems
I volunteer to help non-profits, mentor students, professionals, and retiree (some in retirement communities where the average age is 85) on AI & service science
My hobbies are hiking, reading, programming, and building my AI digital twin and humanoid robots for maintaining farms and farming equipment.
My hobbies are also trying to understand as much as I can about the system called the universe and mult-verse, and robots to rapidly rebuild civilization including themselves from scratch.
2001 - Nonzero: The Logic of Human Desitiny (Wright) - https://en.wikipedia.org/wiki/Nonzero:_The_Logic_of_Human_Destiny
2015 - Geek Heresy: Rescuing Social Change from the Cult of Technology - https://www.amazon.com/Geek-Heresy-Rescuing-Social-Technology/dp/161039528X
2021 - Humankind: A Hopeful History (Bregman) - https://en.wikipedia.org/wiki/Humankind:_A_Hopeful_History
Humankind - https://www.amazon.com/Humankind-Hopeful-History-Rutger-Bregman/dp/0316418536
Humankind Book Review - https://service-science.info/archives/5654
2022 - Service in the AI Era: Science, Logic, and Architecture Perspectives (2022) by Spohrer, Maglio, Vargo, Warg - https://www.amazon.com/Service-AI-Era-Architecture-Perspectives/dp/1637423039
2023 - Design for a Better World: Meaningful, Sustainable, Humanity-Centered (2023) by Don Norman - https://www.amazon.com/Design-Better-World-Meaningful-Sustainable/dp/0262047950/
Brno-IESS 20240206 v10 service science ai.pptxISSIP
It my pleasure to be with you all today – thanks to my host for the opportunity to speak with you all today.
Host: Leonard Walletzky <qwalletz@fi.muni.cz> (https://www.linkedin.com/in/leonardwalletzky/) +420 549 49 7690
Google Scholar: https://scholar.google.com/citations?user=aUvbsmwAAAAJ&hl=cs
Katrina Motkova (https://www.linkedin.com/in/kateřina-moťková-mba-a964a3175/en/?originalSubdomain=cz)
Speaker: Jim Spohrer <spohrer@gmail.com> (https://www.linkedin.com/in/spohrer/) +1-408-829-3112
NordicHouse 20240116 AI Quantum IFTF dfiscussionv7.pptxISSIP
Jim Spohrer presented on AI and quantum computing. He discussed the history of AI from the 1955 Dartmouth workshop to modern advances like AlphaGo, GPT-3, and DALL-E 2. Spohrer noted that computation costs have decreased exponentially over time, driving increases in knowledge worker productivity. He highlighted several experts and resources he follows to stay informed on AI capabilities and implications. Spohrer sees opportunities to improve learning and performance through advances in learning sciences, technology, lifelong learning, and early education. The talk addressed how generative AI works and challenges around verification.
20240104 HICSS Panel on AI and Legal Ethical 20240103 v7.pptxISSIP
20240103 HICSS Panel
Ethical and legal implications raised by Generative AI and Augmented Reality in the workplace.
Souren Paul - https://www.linkedin.com/in/souren-paul-a3bbaa5/
Event: https://kmeducationhub.de/hawaii-international-conference-on-system-sciences-hicss/
Congratulations to the organizers of the “Symposium for Celebrating 40 Years of Bayesian Learning in Speech and Language Processing” and to Prof. Chin-Hui Lee of Georgia Tech the Honorary Chair of the Symposium.
Thanks to Huck Yang (Amazon) for the invitation to record this short message.
Huck Yang
URL: https://www.linkedin.com/in/huckyang/
Event: https://bayesian40.github.io
Recording:
Slides:
URL: https://professionalschool.eitdigital.eu/generative-ai-essentials
Course on Generative Al
Description:
Generative AI is a world-changing power tool that is getting better by the day. So now is the time to get truly inspired, climb up the learning curve, and unleash more of your creative potential.
Learning Topics:
* Inspiration: What is Generative AI in the context of AI's history, present, and future
* Climbing Up: Ways to accelerate your learning trajectory
* Unleashing Creativity: Ways to stay future-ready in the AI era
What You'll Take Away:
By the end of this session, you'll understand the importance of upskilling with today's generative AI tools to get more work done, both faster and at higher quality, as well as some pitfalls to avoid, all within the broader context of the past, present, and future of Artificial Intelligence (AI) and Intelligence Augmentation (IA).
Learning Topics
Inspiration: What is Generative AI in the context of AI's history, present, and future.
Climbing Up: Ways to accelerate your learning trajectory.
Unleashing Creativity: Ways to stay future-ready in the AI era.
Deep dive into ChatGPT's features.
Techniques for basic and advanced prompting and real-world applications.
- Service science has progressed significantly in the past two decades since its inception in the early 2000s.
- However, there is still a long way to go to fully realize the potential of service science and its role in areas like upskilling with AI.
- Looking ahead, some of the biggest challenges will be upskilling entire nations with AI for digital transformation, while also decarbonizing nations through sustainable energy infrastructure - both accomplished through service-based business models.
CapTechTalks Webinar Slides June 2024 Donovan Wright.pptxCapitolTechU
Slides from a Capitol Technology University webinar held June 20, 2024. The webinar featured Dr. Donovan Wright, presenting on the Department of Defense Digital Transformation.
Gender and Mental Health - Counselling and Family Therapy Applications and In...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
A Free 200-Page eBook ~ Brain and Mind Exercise.pptxOH TEIK BIN
(A Free eBook comprising 3 Sets of Presentation of a selection of Puzzles, Brain Teasers and Thinking Problems to exercise both the mind and the Right and Left Brain. To help keep the mind and brain fit and healthy. Good for both the young and old alike.
Answers are given for all the puzzles and problems.)
With Metta,
Bro. Oh Teik Bin 🙏🤓🤔🥰
How to Manage Reception Report in Odoo 17Celine George
A business may deal with both sales and purchases occasionally. They buy things from vendors and then sell them to their customers. Such dealings can be confusing at times. Because multiple clients may inquire about the same product at the same time, after purchasing those products, customers must be assigned to them. Odoo has a tool called Reception Report that can be used to complete this assignment. By enabling this, a reception report comes automatically after confirming a receipt, from which we can assign products to orders.
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
How to Download & Install Module From the Odoo App Store in Odoo 17Celine George
Custom modules offer the flexibility to extend Odoo's capabilities, address unique requirements, and optimize workflows to align seamlessly with your organization's processes. By leveraging custom modules, businesses can unlock greater efficiency, productivity, and innovation, empowering them to stay competitive in today's dynamic market landscape. In this tutorial, we'll guide you step by step on how to easily download and install modules from the Odoo App Store.
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
2. Today’s Talk: Cyber-Social-Learning-Systems
• What is the impact of Artificial Intelligence (AI) on CSLS?
• Augmented Intelligence (IA) via digital cognitive systems
• White House OSTP Response(s)
• Other topics to think about:
• What are more of the implications of digital cognitive systems?
• Tool > Assistant > Collaborator > Coach > Mediator
• Transformation > Experience > Data > Software > Hardware
• What does social intelligence require? Episodic Memory?
• What is the impact of augmented reality on CSLS?
• What are possible connections to service systems science (SSME+DAPP)?
• What type of adaptive innovator with growth mindset needed (T-shapes)?
8/29/2016 Understanding Cognitive Systems 2
4. White House OSTP Response(s)
• AI for public good
• Social & economic implications
• Education to harness AI
• Research questions and gaps
• Data sets and model sets
• Multidisciplinary research
• Role of incentives and prizes
• Safety and control protocols
• Legal and governance issues
8/29/2016 Understanding Cognitive Systems 4
7. Understanding
Cognitive Systems
Jim Spohrer (IBM), August 25, 2016
CSIG (Cognitive Systems Institute Group) Speaker Series
http://www.slideshare.net/spohrer/understanding_20160825_v3
8/29/2016 Understanding Cognitive Systems 7
8. Today’s Talk: Understanding Cognitive Systems
• What is a cognitive system (entity)?
• biological
• technological
• types of digital cognitive systems
• How to…
• build them?
• understand them?
• work with them?
• Steps toward a next generation cognitive curriculum…
8/29/2016 Understanding Cognitive Systems 8
9. But first…. Cognitive Science, a young field
• Society
• cognitivesciencesociety.org
• People
• Founders: Roger Schank, Donald Norman,
Allan Collins
• Others: David Rumelhart, Herbert Simon,
Allen Newell
• Today: Patrick Langley, Wayne Gray,
Kenneth Forbus, Ashok Goel, Paul Maglio,
etc.
• Systems Conference
• cogsys.org
• (JCS wishes this was part of HICSS)
8/29/2016 Understanding Cognitive Systems 9
10. Advances in Cognitive Systems - cogsys.org
8/29/2016 Understanding Cognitive Systems 10
12. Today’s Talk: Understanding Cognitive Systems
• What is a cognitive system (entity)?
• biological
• technological
• types of digital cognitive systems
• How to…
• build them?
• understand them?
• work with them?
• Steps toward a next generation cognitive curriculum…
8/29/2016 Understanding Cognitive Systems 12
13. What is a cognitive system (entity)?
8/29/2016 Understanding Cognitive Systems 13
14. What is a digital cognitive system (entity)?
8/29/2016 Understanding Cognitive Systems 14
15. What types of digital cognitive systems?
• Cognitive Build: Outthink Challenge (250K people)
• Imagine a digital cognitive system to help you do
something important in your personal or professional
lives
• Team to design it and advocate for it, and then everyone
votes
• Winners: reduce waste and human suffering, screen for
health issues and safety threats, learn life skills and make
better choices, find what you are looking for, move
around more effectively, provide emotional support,
provide IT support, learn about important public policy
goals and make better choices
• Types: Tool, Assistant, Collaborator, Coach, Mediator
8/29/2016 Understanding Cognitive Systems 15
24. Backup slides
• Service systems - http://service-science.info/archives/3368
8/29/2016 Understanding Cognitive Systems 24
25. What is service science?
• IBM initiated effort to establish a
multidisciplinary field to study
service systems … with a focus on
people-centered, IT-enabled service
innovations for business and society
• based on service-dominant logic
• service = value co-creation
• IT-enabled service architectures
• service systems (socio-technical
systems for win-win value co-creation)
• IBM helped establish
• computer science (1945-present)
• service science (2005-present)
8/29/2016 Understanding Cognitive Systems 25
Service systems are dynamic configurations of
resources (people, technology, organizations,
and information) interconnected by
value propositions, internally and externally.
Examples:
- macro: cities, states, nations
- meso: hospitals, universities, businesses
- micro: households, families, individuals
Reference:
Spohrer J, Maglio P, Bailey J, Gruhl D (2007)
Steps toward a science of service systems.
IEEE Computer Society. 40(3):71-77(January).
26. What is service science?
• Now over 500 universities globally teach a
more multidisciplinary approach to service
innovation, including:
• Service management and marketing
• Service engineering and operations
• Service design and arts
• Service public policy and economics
• Service computing and informatics
• SSME + DAPP =
Service Science Management Engineering +
Design Arts Public Policy
• People, technology, organizations, information
interconnected by value propositions.
8/29/2016 Understanding Cognitive Systems 26
Reference:
IfM & IBM (2008). Succeeding through service
innovation: A service perspective for education,
research, business and government.
University of Cambridge Institute for Manufacturing,
Cambridge, UK. 2008.
27. How to get involved?
• Weekly speaker series
• Service innovation
• Service education & research
• Smart service/cognitive systems
• Discovery summits & book series
• Opportunities
• Institutional memberships
• Leadership & ambassadors
• Volunteer opportunities
• Awards & sponsored conferences
8/29/2016 Understanding Cognitive Systems 27
ISSIP.org is a non-profit society
International Society of Service Innovation Professionals
Membership:
Over 1000 professionals and students from 40+ countries,
50+ companies and 50+ universities.
28. How to get involved?
• Journals (INFORMS, etc.)
• Conferences (HICSS, etc.)
• Courses (MIT, etc.)
• Funding (NSF, etc.)
• Society (ISSIP, etc.)
8/29/2016 Understanding Cognitive Systems 28
29. What are the hot topics?
• Smart Service Systems: Intelligence Augmentation
• AI + AR UX (Artificial Intelligence + Augmented Reality
User Experience)
• Smartphones (mobile, social, secure, etc.)
• Collaborative Economy: Servitization
• From assets to co-creation (e.g., Uber, AirBnB, etc.)
• From product to capability/outcome-as-a-service
• Manufacturing as a local recycling service
• Digital Transformation: Trust and Identity
• Blockchain: Don Tapscott’s TED Talk & book
• Big Data: Service Analytics & HAT (Hub of All Things)
8/29/2016 Understanding Cognitive Systems 29
31. Some paths to becoming 64x smarter:
Improving learning and performance
• 2x from Learning sciences (methods)
• Better models of concepts
• Better models of learners
• 2x from Learning technology (tools)
• Guided learning paths
• Elimination of “thrashing”
• 2x from Quantity effect (overlaps)
• More you know, faster you go
• Advanced organizers
• 2x from Lifelong learning (time)
• Longer lives and longer careers
• Keeps “learning-mode” activated
• 2x from Early learning (time)
• Start earlier: Challenged-based approach
• STEM-2D in K-12 (SSME+DAPP Design of Smart Service Systems)
• 2x from Cognitive systems (performance support)
• Technology & Infrastructure Interactions
• Organizations & Others Interactions
32. Next Generation:
Future-Ready T-Shaped Adaptive Innovators
Many disciplines
Many sectors
Many regions/cultures
(understanding & communications)
Deepinonesector
Deepinoneregion/culture
Deepinonediscipline