The Future of AI is Generative not Discriminative 5/26/2021Steve Omohundro
The deep learning AI revolution has been sweeping the world for a decade now. Deep neural nets are routinely used for tasks like translation, fraud detection, and image classification. PwC estimates that they will create $15.7 trillion/year of value by 2030. But most current networks are "discriminative" in that they directly map inputs to predictions. This type of model requires lots of training examples, doesn't generalize well outside of its training set, creates inscrutable representations, is subject to adversarial examples, and makes knowledge transfer difficult. People, in contrast, can learn from just a few examples, generalize far beyond their experience, and can easily transfer and reuse knowledge. In recent years, new kinds of "generative" AI models have begun to exhibit these desirable human characteristics. They represent the causal generative processes by which the data is created and can be compositional, compact, and directly interpretable. Generative AI systems that assist people can model their needs and desires and interact with empathy. Their adaptability to changing circumstances will likely be required by rapidly changing AI-driven business and social systems. Generative AI will be the engine of future AI innovation.
This talk overviews my background as a female data scientist, introduces many types of generative AI, discusses potential use cases, highlights the need for representation in generative AI, and showcases a few tools that currently exist.
🔹How will AI-based content-generating tools change your mission and products?
🔹This complimentary webinar [ON-DEMAND] explores multiple use cases that drive adoption in their early adopter customer base to provide product leaders with insights into the future of generative AI-powered businesses, and the potential generative AI holds for driving innovation and improving business processes.
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
Exploring Opportunities in the Generative AI Value Chain.pdfDung Hoang
The article "Exploring Opportunities in the Generative AI Value Chain" by McKinsey & Company's QuantumBlack provides insights into the value created by generative artificial intelligence (AI) and its potential applications.
In this session, you'll get all the answers about how ChatGPT and other GPT-X models can be applied to your current or future project. First, we'll put in order all the terms – OpenAI, GPT-3, ChatGPT, Codex, Dall-E, etc., and explain why Microsoft and Azure are often mentioned in this context. Then, we'll go through the main capabilities of the Azure OpenAI and respective usecases that might inspire you to either optimize your product or build a completely new one.
The Future of AI is Generative not Discriminative 5/26/2021Steve Omohundro
The deep learning AI revolution has been sweeping the world for a decade now. Deep neural nets are routinely used for tasks like translation, fraud detection, and image classification. PwC estimates that they will create $15.7 trillion/year of value by 2030. But most current networks are "discriminative" in that they directly map inputs to predictions. This type of model requires lots of training examples, doesn't generalize well outside of its training set, creates inscrutable representations, is subject to adversarial examples, and makes knowledge transfer difficult. People, in contrast, can learn from just a few examples, generalize far beyond their experience, and can easily transfer and reuse knowledge. In recent years, new kinds of "generative" AI models have begun to exhibit these desirable human characteristics. They represent the causal generative processes by which the data is created and can be compositional, compact, and directly interpretable. Generative AI systems that assist people can model their needs and desires and interact with empathy. Their adaptability to changing circumstances will likely be required by rapidly changing AI-driven business and social systems. Generative AI will be the engine of future AI innovation.
This talk overviews my background as a female data scientist, introduces many types of generative AI, discusses potential use cases, highlights the need for representation in generative AI, and showcases a few tools that currently exist.
🔹How will AI-based content-generating tools change your mission and products?
🔹This complimentary webinar [ON-DEMAND] explores multiple use cases that drive adoption in their early adopter customer base to provide product leaders with insights into the future of generative AI-powered businesses, and the potential generative AI holds for driving innovation and improving business processes.
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
Exploring Opportunities in the Generative AI Value Chain.pdfDung Hoang
The article "Exploring Opportunities in the Generative AI Value Chain" by McKinsey & Company's QuantumBlack provides insights into the value created by generative artificial intelligence (AI) and its potential applications.
In this session, you'll get all the answers about how ChatGPT and other GPT-X models can be applied to your current or future project. First, we'll put in order all the terms – OpenAI, GPT-3, ChatGPT, Codex, Dall-E, etc., and explain why Microsoft and Azure are often mentioned in this context. Then, we'll go through the main capabilities of the Azure OpenAI and respective usecases that might inspire you to either optimize your product or build a completely new one.
Generative AI Use-cases for Enterprise - First SessionGene Leybzon
In this presentation, we will delve into the exciting applications of Generative AI across various business domains. Leveraging the capabilities of artificial intelligence and machine learning, Generative AI allows for dynamic, context-aware user interfaces that adapt in real-time to provide personalized user experiences. We will explore how this transformative technology can streamline design processes, facilitate user engagement, and open the doors to new forms of interactivity.
Chat GPT 4 can pass the American state bar exam, but before you go expecting to see robot lawyers taking over the courtroom, hold your horses cowboys – we're not quite there yet. That being said, AI is becoming increasingly more human-like, and as a VC we need to start thinking about how this new wave of technology is going to affect the way we build and run businesses. What do we need to do differently? How can we make sure that our investment strategies are reflecting these changes? It's a brave new world out there, and we’ve got to keep the big picture in mind!
Sharing here with you what we at Cavalry Ventures found out during our Generative AI deep dive.
The Five Levels of Generative AI for GamesJon Radoff
A framework for understanding how generative AI and the technologies leading up to it impact the course of games and virtual worlds--for game studios, game players, modders and within the core game loop.
Generative AI art has a lot of issues:
Lack of Control: Generative AI art eliminates digital artists' control over their work. The results are unpredictable and often unsatisfactory, leaving artists feeling frustrated.
No Unique Signature: Generative AI art lacks a unique signature or style, making it difficult for digital artists to stand out.
Quality Control Issues: Generative AI art can be of poor quality and unsuitable for professional use. Digital artists who rely on their work to make a living may find that AI-generated work is not up to their standards.
Decreased Job Opportunities: As generative AI art becomes more popular, the demand for human digital artists may decrease, leading to fewer job opportunities.
No Emotional Connection: Generative AI art lacks the emotional connection artists can create through their work. This can make it difficult for digital artists to connect with their audience and make a lasting impact.
Limited Creative Potential: Generative AI art has limited creative potential based on algorithms and pre-defined parameters. Digital artists who seek to express their creativity and individuality may find it limiting.
Intellectual Property Concerns: Generative AI art can infringe on the intellectual property of others, leading to legal issues for the artist.
Lack of Personal Touch: Generative AI art lacks the personal touch that digital artists can bring to their work. This can result in a lack of emotion, connection, and engagement with the audience.
Decreased Income: Generative AI art is often available for free or at a low cost, making it difficult for digital artists to make a living through their work.
Loss of Craftsmanship: Generative AI art relies on technology, taking away the element of craftsmanship and hand-drawn skills that digital artists have honed over time.
GENERATIVE AI, THE FUTURE OF PRODUCTIVITYAndre Muscat
Discuss the impact and opportunity of using Generative AI to support your development and creative teams
* Explore business challenges in content creation
* Cost-per-unit of different types of content
* Use AI to reduce cost-per-unit
* New partnerships being formed that will have a material impact on the way we search and engage with content
Part 4 of a 9 Part Research Series named "What matters in AI" published on www.andremuscat.com
A Framework for Navigating Generative Artificial Intelligence for EnterpriseRocketSource
Generative AI has dominated the headlines recently, which has caused many enterprises to put a full stop to implementing this technology until they can understand what’s behind the glitz and glamour. What if we shifted the conversation? What if the focus became a fresh, incremental approach to embracing the opportunities with generative artificial intelligence to keep organizations moving upward on the S Curve of Growth?
Brands stay relevant and solve complex problems by testing the barometer for one thing — will a new strategy, tool, or piece of technology improve humanity?
Human connections are more vital than using shiny new tools or technology. As your teams work to steer clear of the temptation to do what everyone else is doing in uniform, this post will highlight how to stand out, compete, and do so with less risk in today’s world of generative AI overload.
An overview of the most important AI capabilities in marketing, advertising and content creation. I made this presentation to inform, educate and inspire people in the creative industries to familiarise themselves with the incredible toolsets that are already here and in development. I also explain how generative Ai works explore some possible new roles and business models for agencies. Hope you enjoy it!
Leveraging Generative AI & Best practicesDianaGray10
In this event we will cover:
- What is Generative AI and how it is being for future of work.
- Best practices for developing and deploying generative AI based models in productions.
- Future of Generative AI, how generative AI is expected to evolve in the coming years.
A journey into the business world of artificial intelligence. Explore at a high-level ongoing business experiments in creating new value.
* Review AI as a priority for value generation
* Explore ongoing experimentation
* Touch on how businesses are monetising AI
* Understand the intent of adoption by industries
* Discuss on the state of customer trust in AI
Part 1 of a 9 Part Research Series named "What matters in AI" published on https://www.andremuscat.com
Generative AI: Past, Present, and Future – A Practitioner's PerspectiveHuahai Yang
Generative AI: Past, Present, and Future – A Practitioner's Perspective
As the academic realm grapples with the profound implications of generative AI
and related applications like ChatGPT, I will present a grounded view from my
experience as a practitioner. Starting with the origins of neural networks in
the fields of logic, psychology, and computer science, I trace its history and
align it within the wider context of the pursuit of artificial intelligence.
This perspective will also draw parallels with historical developments in
psychology. Against this backdrop, I chart a proposed trajectory for the future.
Finally, I provide actionable insights for both academics and enterprising
individuals in the field.
An Introduction to Generative AI - May 18, 2023CoriFaklaris1
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
* "Responsible AI Leadership: A Global Summit on Generative AI"
*April 2023 guide for experts and policymakers
* Developing and governing generative AI systems
* + 100 thought leaders and practitioners participated
* Recommendations for responsible development, open innovation & social progress
* 30 action-oriented recommendations aim
* Navigate AI complexities
This presentation presents an overview of the challenges and opportunities of generative artificial intelligence in Web3. It includes a brief research history of generative AI as well as some of its immediate applications in Web3.
How can we use generative AI in learning products? A rapid introduction to generative AI. Presented at ED Games Expo 2023 at the U.S. Department of Education, September 22, 2023.
Explore the risks and concerns surrounding generative AI in this informative SlideShare presentation. Delve into the key areas of concern, including bias, misinformation, job loss, privacy, control, overreliance, unintended consequences, and environmental impact. Gain valuable insights and examples that highlight the potential challenges associated with generative AI. Discover the importance of responsible use and the need for ethical considerations to navigate the complex landscape of this transformative technology. Expand your understanding of generative AI risks and concerns with this engaging SlideShare presentation.
This session was presented at the AWS Community Day in Munich (September 2023). It's for builders that heard the buzz about Generative AI but can’t quite grok it yet. Useful if you are eager to connect the dots on the Generative AI terminology and get a fast start for you to explore further and navigate the space. This session is largely product agnostic and meant to give you the fundamentals to get started.
Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this presentation you’ll learn about:
- Why on-device AI is key
- Full-stack AI optimizations to make on-device AI possible and efficient
- Advanced techniques like quantization, distillation, and speculative decoding
- How generative AI models can be run on device and examples of some running now
- Qualcomm Technologies’ role in scaling on-device generative AI
Generative AI: Responsible Path forward, a presentation conducted during DataHour webinar series by Analytics Vidhya and attended by more than a hundred data scientists and AI experts from around the world. The presentation address the importance of AI ethics and the development of responsible AI governance at tech firms to help mitigate AI risks and ethical issues.
Ethical Dimensions of Artificial Intelligence (AI) by Rinshad ChoorapparaRinshad Choorappara
Explore the ethical landscape of Artificial Intelligence (AI) through our insightful PowerPoint presentation. Delve into crucial considerations that shape the responsible development and deployment of AI technologies. From privacy concerns and bias mitigation to transparency and accountability, this presentation covers the key ethical dimensions of AI. Gain a comprehensive understanding of the ethical challenges and solutions in the rapidly evolving world of artificial intelligence. Stay informed and empower your audience with the knowledge needed to navigate the ethical intricacies of AI responsibly.
Let us see the good and bad effects of the impact of Artificial Intelligence and the emerging technologies!
Generative AI Use-cases for Enterprise - First SessionGene Leybzon
In this presentation, we will delve into the exciting applications of Generative AI across various business domains. Leveraging the capabilities of artificial intelligence and machine learning, Generative AI allows for dynamic, context-aware user interfaces that adapt in real-time to provide personalized user experiences. We will explore how this transformative technology can streamline design processes, facilitate user engagement, and open the doors to new forms of interactivity.
Chat GPT 4 can pass the American state bar exam, but before you go expecting to see robot lawyers taking over the courtroom, hold your horses cowboys – we're not quite there yet. That being said, AI is becoming increasingly more human-like, and as a VC we need to start thinking about how this new wave of technology is going to affect the way we build and run businesses. What do we need to do differently? How can we make sure that our investment strategies are reflecting these changes? It's a brave new world out there, and we’ve got to keep the big picture in mind!
Sharing here with you what we at Cavalry Ventures found out during our Generative AI deep dive.
The Five Levels of Generative AI for GamesJon Radoff
A framework for understanding how generative AI and the technologies leading up to it impact the course of games and virtual worlds--for game studios, game players, modders and within the core game loop.
Generative AI art has a lot of issues:
Lack of Control: Generative AI art eliminates digital artists' control over their work. The results are unpredictable and often unsatisfactory, leaving artists feeling frustrated.
No Unique Signature: Generative AI art lacks a unique signature or style, making it difficult for digital artists to stand out.
Quality Control Issues: Generative AI art can be of poor quality and unsuitable for professional use. Digital artists who rely on their work to make a living may find that AI-generated work is not up to their standards.
Decreased Job Opportunities: As generative AI art becomes more popular, the demand for human digital artists may decrease, leading to fewer job opportunities.
No Emotional Connection: Generative AI art lacks the emotional connection artists can create through their work. This can make it difficult for digital artists to connect with their audience and make a lasting impact.
Limited Creative Potential: Generative AI art has limited creative potential based on algorithms and pre-defined parameters. Digital artists who seek to express their creativity and individuality may find it limiting.
Intellectual Property Concerns: Generative AI art can infringe on the intellectual property of others, leading to legal issues for the artist.
Lack of Personal Touch: Generative AI art lacks the personal touch that digital artists can bring to their work. This can result in a lack of emotion, connection, and engagement with the audience.
Decreased Income: Generative AI art is often available for free or at a low cost, making it difficult for digital artists to make a living through their work.
Loss of Craftsmanship: Generative AI art relies on technology, taking away the element of craftsmanship and hand-drawn skills that digital artists have honed over time.
GENERATIVE AI, THE FUTURE OF PRODUCTIVITYAndre Muscat
Discuss the impact and opportunity of using Generative AI to support your development and creative teams
* Explore business challenges in content creation
* Cost-per-unit of different types of content
* Use AI to reduce cost-per-unit
* New partnerships being formed that will have a material impact on the way we search and engage with content
Part 4 of a 9 Part Research Series named "What matters in AI" published on www.andremuscat.com
A Framework for Navigating Generative Artificial Intelligence for EnterpriseRocketSource
Generative AI has dominated the headlines recently, which has caused many enterprises to put a full stop to implementing this technology until they can understand what’s behind the glitz and glamour. What if we shifted the conversation? What if the focus became a fresh, incremental approach to embracing the opportunities with generative artificial intelligence to keep organizations moving upward on the S Curve of Growth?
Brands stay relevant and solve complex problems by testing the barometer for one thing — will a new strategy, tool, or piece of technology improve humanity?
Human connections are more vital than using shiny new tools or technology. As your teams work to steer clear of the temptation to do what everyone else is doing in uniform, this post will highlight how to stand out, compete, and do so with less risk in today’s world of generative AI overload.
An overview of the most important AI capabilities in marketing, advertising and content creation. I made this presentation to inform, educate and inspire people in the creative industries to familiarise themselves with the incredible toolsets that are already here and in development. I also explain how generative Ai works explore some possible new roles and business models for agencies. Hope you enjoy it!
Leveraging Generative AI & Best practicesDianaGray10
In this event we will cover:
- What is Generative AI and how it is being for future of work.
- Best practices for developing and deploying generative AI based models in productions.
- Future of Generative AI, how generative AI is expected to evolve in the coming years.
A journey into the business world of artificial intelligence. Explore at a high-level ongoing business experiments in creating new value.
* Review AI as a priority for value generation
* Explore ongoing experimentation
* Touch on how businesses are monetising AI
* Understand the intent of adoption by industries
* Discuss on the state of customer trust in AI
Part 1 of a 9 Part Research Series named "What matters in AI" published on https://www.andremuscat.com
Generative AI: Past, Present, and Future – A Practitioner's PerspectiveHuahai Yang
Generative AI: Past, Present, and Future – A Practitioner's Perspective
As the academic realm grapples with the profound implications of generative AI
and related applications like ChatGPT, I will present a grounded view from my
experience as a practitioner. Starting with the origins of neural networks in
the fields of logic, psychology, and computer science, I trace its history and
align it within the wider context of the pursuit of artificial intelligence.
This perspective will also draw parallels with historical developments in
psychology. Against this backdrop, I chart a proposed trajectory for the future.
Finally, I provide actionable insights for both academics and enterprising
individuals in the field.
An Introduction to Generative AI - May 18, 2023CoriFaklaris1
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
* "Responsible AI Leadership: A Global Summit on Generative AI"
*April 2023 guide for experts and policymakers
* Developing and governing generative AI systems
* + 100 thought leaders and practitioners participated
* Recommendations for responsible development, open innovation & social progress
* 30 action-oriented recommendations aim
* Navigate AI complexities
This presentation presents an overview of the challenges and opportunities of generative artificial intelligence in Web3. It includes a brief research history of generative AI as well as some of its immediate applications in Web3.
How can we use generative AI in learning products? A rapid introduction to generative AI. Presented at ED Games Expo 2023 at the U.S. Department of Education, September 22, 2023.
Explore the risks and concerns surrounding generative AI in this informative SlideShare presentation. Delve into the key areas of concern, including bias, misinformation, job loss, privacy, control, overreliance, unintended consequences, and environmental impact. Gain valuable insights and examples that highlight the potential challenges associated with generative AI. Discover the importance of responsible use and the need for ethical considerations to navigate the complex landscape of this transformative technology. Expand your understanding of generative AI risks and concerns with this engaging SlideShare presentation.
This session was presented at the AWS Community Day in Munich (September 2023). It's for builders that heard the buzz about Generative AI but can’t quite grok it yet. Useful if you are eager to connect the dots on the Generative AI terminology and get a fast start for you to explore further and navigate the space. This session is largely product agnostic and meant to give you the fundamentals to get started.
Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this presentation you’ll learn about:
- Why on-device AI is key
- Full-stack AI optimizations to make on-device AI possible and efficient
- Advanced techniques like quantization, distillation, and speculative decoding
- How generative AI models can be run on device and examples of some running now
- Qualcomm Technologies’ role in scaling on-device generative AI
Generative AI: Responsible Path forward, a presentation conducted during DataHour webinar series by Analytics Vidhya and attended by more than a hundred data scientists and AI experts from around the world. The presentation address the importance of AI ethics and the development of responsible AI governance at tech firms to help mitigate AI risks and ethical issues.
Ethical Dimensions of Artificial Intelligence (AI) by Rinshad ChoorapparaRinshad Choorappara
Explore the ethical landscape of Artificial Intelligence (AI) through our insightful PowerPoint presentation. Delve into crucial considerations that shape the responsible development and deployment of AI technologies. From privacy concerns and bias mitigation to transparency and accountability, this presentation covers the key ethical dimensions of AI. Gain a comprehensive understanding of the ethical challenges and solutions in the rapidly evolving world of artificial intelligence. Stay informed and empower your audience with the knowledge needed to navigate the ethical intricacies of AI responsibly.
Let us see the good and bad effects of the impact of Artificial Intelligence and the emerging technologies!
Emerging Trends in AI and data science IN KRCTkrctseo
In this era of technology, Artificial Intelligence (AI) stand as the pillar of innovation, driving changes across all industries and even society as a whole. As we look into the future, it’s essential to notice the emerging trends in AI shaping the trajectory of our world. These trends are paving the way for new possibilities and advancements in all aspects of life.
Show & TEL Ethics & Technology-Enhanced Learning Robert Farrow
This presentation reviews the state of the art with respect to the use of artificial intelligence in education, reflecting on the ethical aspects and implications with particular reference to distance education.
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)
Artificial Intelligence in Education: Ethical FuturesRobert Farrow
Artificial intelligence (AI) offers the possibility of enabling human self-realisation; enhancing human agency; increasing societal capability; and cultivating social cohesion (Floridi et al., 2018). A review of ethical principles in AI (Floridi & Cowls, 2019) suggests that 47 principles proposed by various initiatives can be reduced to four traditional moral principles (beneficence; non-maleficence; autonomy; justice) and one new one (explicability). This webinar will interpret this ethical framework with respect to the potential for AI supported education. It will explore the roles of algorithms, institutional policies and pedagogical innovation in developing learning systems and offer normative reflections on the future role of AI in education.
Floridi, L., & Cowls, J. (2019). A Unified Framework of Five Principles for AI in Society. Harvard Data Science Review, 1(1). https://doi.org/10.1162/99608f92.8cd550d1
Floridi, L., Cowls, J., Beltrametti, M. et al. (2018). AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds & Machines 28, 689–707. https://doi.org/10.1007/s11023-018-9482-5
Artificial Intelligence (AI)
Society
Economic Impact
Education and skill development
Ethics and bias
Health care and well-being
Privacy and surveillance
Accessibility and inclusiivity
Global Governance of Generative AI: The Right Way ForwardLilian Edwards
AI regulation has been a hot topic since the rise of machine learning (ML) in the “big data” era, but generative AI or “foundation models” tools like ChatGPT, DALL-E 2(now 3) and CoPilot, ike ML before them, may create serious societal risks, including embedding and outputting bias; generating fake news, illegal or harmful content and inadvertent “hallucinations”; infringing existing laws relating eg to copyright and privacy; as well as environmental, competition and workplace concerns.
Many nations are now considering regulation to address these worries, and can draw on a number of basic and hybrid models of governance. This paper canvasses models of mandatory comprehensive legislation (where the EU AI Act hopes to place itself as a gold standard model); vertical mandatory legislation (where China has quietly taken a lead); adapting existing law (see the many copyright lawsuits underway); and voluntary “soft law” such as codes of ethics, “blueprints”, or industry guidelines. Both the domestic and international regulatory scenes for AI are also increasingly politicised as the rise of "AI safety" hype shows. Against this backdrop what choices should smaller countries such as the UK and Australia make? will international harmonisation lead to a race to the top as with the GDPR, or the bottom - rule by tech for tech?
The new fundamentals-Seizing opportunities with AI in the cognitive economyLynn Reyes
We are in a new era of exponential learning and the world is transitioning to a cognitive economy. All—organizations, industries, governments, individuals—are learning, interacting in dynamic ecosystems and augmenting intelligence at increasing scales. Disruptive forces are reshaping societies and economies; and the impact of technology is especially profound. Data, emerging technologies and cyber-turbulence will continue to fuel disruption into the future. Leaders will also need to become agile visionary doers. Government will play a critical role in establishing the foundation of a knowledge-based, learning society. New fundamentals are needed.
Artificial Intelligence: Shaping the Future of Technologycyberprosocial
In the realm of technology, Artificial Intelligence (AI) stands as a beacon of innovation, promising transformative changes across various industries and facets of our lives. This rapidly evolving field is not just about machines mimicking human intelligence; it’s about revolutionizing the way we live, work, and interact with the world. In this article, we will delve into the intricacies of AI, exploring its applications, potential impact, and the ethical considerations that accompany this technological marvel.
AI Ethics and Implications For Developing Societies.pptxIshaku Gayus Bwala
The presentation delves into several remarkable breakthroughs that artificial intelligence (AI) has achieved across diverse domains, including healthcare, medicine, gaming, and the creative arts. These breakthroughs underscore the profound impact that AI is making on these sectors, revolutionizing the way we approach medical diagnostics, enhancing interactive gaming experiences, and even inspiring new forms of artistic expression.
In these accomplishments, the presentation also shines a spotlight on the potent ethical challenges that AI presents. As AI systems become increasingly integrated into our daily lives, questions about privacy, bias, accountability, and transparency become ever more pressing. The implications of AI's unethical use are far-reaching, potentially affecting not only individuals but society as a whole.
Towards the end of the presentation, a compelling visual representation is shared: a chart that maps out the progress of 70 countries in developing policies, strategies, and regulations for the ethical use of AI. This chart provides a global perspective on how different nations are addressing the ethical considerations surrounding AI. It highlights the varying degrees of preparedness and commitment among countries to ensure that AI technologies are harnessed for the greater good while safeguarding against misuse, with developing countries lagging far behind
By exploring these AI breakthroughs and ethical dilemmas, and by examining the global landscape of AI governance, the presentation offers a comprehensive view of AI's transformative potential and the collective responsibility we share in guiding its ethical evolution.
Sankey, M. 2023. Creating a new culture around authenticity and generative AI. Research Bazaar Northern Territory. Charles Darwin University. Darwin. 25-26 October.
ZGB - The Role of Generative AI in Government transformation.pdfSaeed Al Dhaheri
This keynote was presented during the the 7th edition of the UAE Hackathon 2024. It highlights the role of AI and Generative AI in addressing government transformation to achieve zero government bureaucracy
How to Grow Tech Entrepreneurs in the UAE and the Arab worldSaeed Al Dhaheri
This talk was presented during the Arab EmTech and Startup Conference on 16th Nov 2020. It highlights the UAE efforts to grow Tech entrepreneurs and Emiratis unicorns, and create the ecosystem for tech entrepreneurship. It highlights some lessons for the Arab world
This presentation was conducted at Gitex 2020 and sponsored by Ajman Digital Government. It highlights the future of remote work and how the UAE is preparing to a hybrid work in terms of government policies and technology enablement.
The presentation addresses the importance of foresight and futures thinking to anticipate signals of change that will impact work, workforce, and workplace in the next 10-20 years and how to prepare for the future
The UAE Digital Economy Post COVID-19: Value creation and policy recommendationSaeed Al Dhaheri
This topic was presented for a keynote presentation at Zayed University 12th Annual Undergraduate Research Conference on Applied Computing, Dubai, April 15-16 , 2020
The presentation highlights the digital economy ecosystem in the UAE and recommends way forward post COVID-19
The digital startup ecosystem in the uae how to grow tech entrepreneursSaeed Al Dhaheri
This research was presented at the Smart SMB Summit and Awards 2019 in Dubai. It highlights the UAE efforts to grow tech entrepreneurs and the digital startup ecosystem in the UAE. It provides insight into the UAE competitiveness in Entrepreneurship and initiatives the country has taken to grow the digital startup ecosystem.
This presentation was conducted at the future of smart manufacturing in Sharjah event, as organized by the Science Technology and Innovation Park and the American University of Sharjah, on 15/4/2019
This presentation discusses what the GCC countries need to do to ensure availability of skilled digital talent to execute their national visions and digital transformation agenda
How disruptive technologies are reshaping the future of citiesSaeed Al Dhaheri
This keynote presentation was delivered at the Arab ICT Forum 2018 in Bhrain. The presentation highlights the role of disruptive technologies in reshaping the future of our cities. main focus is on Arab cities. Examples of how new technologies are changing our cities are highlighted.
This keynote presentation was delivered at the Ministry of Economy Seminar: Artificial Intelligence & Future of Trade & Economy on 13th of December 2018. It provides highlights to impact of AI on the UAE economy and describes examples where AI can used in prediction, retail commerce, price prediction and optimization. Also, provides use cases where AI successfully implemented in public sector services.
This presentation was given during the 7th CAE conference held in Dubai between 12-13 December 2017. It highlights the transforming role of internal auditor in the age of AI and provides some examples of how AI can help and augment the role of the internal auditor.
This presentation was conducted during the VIP French business group conference dinner: Artificial Intelligence for a better life, held in Abu Dhabi on 1st May 2018. Highlights the achievements made since UAE announced its AI strategy and provide some examples from the public and private sectors in UAE.
Artifical intelligence and the future of gcc governmentsSaeed Al Dhaheri
This talk was presented during the 24th GCC smart government and smart cities conference in Dubai on 22nd April 2018. It discusses the impact of AI on the GCC economy, providing use cases for AI from the UAE government and what the GCC countries need to do to benefit from AI.
Executing the UAE AI Strategy: Opportunities and ChallengesSaeed Al Dhaheri
this presentation was conducted at the American University of The Emirates. It gives an overview about AI and present some use cases. Also presents the UAE AI strategy and what the government has done to activate and execute the strategy. It also highlights some examples of how UAE public sector organizations are transforming their services using AI.
How AI is Transforming Government Services in the UAESaeed Al Dhaheri
This presentation was given at the RIT - Dubai workshop about applications of Artificial Intelligence at the public and private sectors. Highlights the UAE AI strategy and what has been done to activate it. Also presents some use cases for AI from the UAE public sector.
The UAE AI Strategy: Building Intelligent EnterprisesSaeed Al Dhaheri
This presentation was presented at the CIOMajlis meeting and highlights the UAE AI strategy and how to build Intelligent AI-driven Enterprises. Examples of some AI applications in the UAE public sector were highlighted.
How disruptive technologies are shaping the future of tourismSaeed Al Dhaheri
this presentation was given as UAE celebrates the innovation month and was organized by the Abu Dhabi Department of Culture and Tourism.
It highlights how disruptive technologies such as AI, Blockchain, IoT, VR & AR are impacting and changing the way we travel and experience places.
This presentation was made for the UAE Scientific and Cultural association - Nadwa - in Dubai and was presented.
هذه المحاضرة بعنوان النجاح والازدهار في عصر الذكاء تم تقديمها في ندوة الثقافة والعلوم في دبي
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Leading Change strategies and insights for effective change management pdf 1.pdf
The Future is in Responsible Generative AI
1. The Future is in Responsible
Generative AI
Saeed Aldhaheri, Ph.D
Director Center for Futures Studies, University of Dubai
President, Robotics and Automation Society
Ecosystems 2030, 2- 4 May 2023, A Coruna, Spain
4. Potential of Generative AI
• What is Generative AI:
• LLMs models that generate text, images, code, videos, music,, etc
• Disrupting nature
• Becoming powerful platforms
• Potential to be used in almost any industry
• Benefits:
• Augmenting human capabilities – < Improve efficiency and productivity
• Democratizing AI, creativity and imagination
• Accelerate R & D
• Easy to consume and customize
• A spark for creativity and creator economy
• Places premium on creativity
• Uses
• Generating arts/writing articles & software/generating ideas/ task
automation/Chatbots/disrupting search
• Consumer sentiment/Marketing/finance/health care/customer
service/NLP-based data analytics/Education/law/
Stable Diffusion ERNIE
5. Potential of Generative AI
Macroeconomic effects:
“Broad adoption of AI has the potential for major macroeconomic
effects” – Goldman Sachs report
Boosting Global GDP:
Generative AI can boost annual global GDP by 7% ($7 trillion)
in the next 10 years
Productivity growth:
40% of all working hours across all industries can be impacted by
LLMs such as ChatGPT. Accenture report 2023
integrating NLP tools in the workforce could get a 1.5% growth in
the US labor productivity per year, in the next 10 years
Prompt Engineering
6. Question?
How can we minimize Generative AI Risks
and address its ethical concerns?
9. UNESCO call to implement its Global Ethical Framework
“The world needs stronger ethical rules for artificial
intelligence: this is the challenge of our time.
UNESCO’s Recommendation on the ethics of AI sets
the appropriate normative framework. Our Member
States all endorsed this Recommendation in November
2021. It is high time to implement the strategies and
regulations at national level. We have to walk the talk
and ensure we deliver on the Recommendation’s
objectives.”
- Audrey Azoulay, UNESCO's Director-General
Policy areas
1- Ethical impact assessment
2- Ethical governance
3- Data policy
4- Development and international cooperation
10. Current AI Tech Industry Approach
• Generative AI is a wild west now
• AI ethics in the back seat
• “Researchers building AI outnumber those focused on safety by 30-to-1 ratio”
- Center for Humane technology
• Moving fast while breaking things
• “It’s important *NOT* to ‘move fast and break things’ for tech as important as AI,”
- Demis Hassabis, DeepMind Founder
• Lunch problematic AI products and label them as “experiment”
• Ethical teams at tech firms are in unsupported atmosphere
• Public trust in generative AI is decreasing
• Industry self-regulation is not sufficient
Image by Tim Bel from Pixabay
11. With new capabilities comes new risks!
Ethical Risks of Generative AI
• Safety and generating harmful content
• Bias
• Fake news and disinformation - “confident failure”
• “hallucination” – faking things
• Privacy and data protection - Leaks
• Intellectual property & copyright infringement
• Liability & responsibility
• Societal values
• Unemployment and workforce displacement
• Unwanted acceleration: AI tech race – < decline in safety
• Emergent behavior
• The unpredictability!
“sometimes writes plausible-sounding but incorrect or
nonsensical answers”. OpenAI
12. How to build responsible generative AI?
• Ethics by design and responsible AI by design
• actionable AI ethics principles
• Translate principles into effective governance
• development, deployment, and use
• Respect creators’ choice and control
• Technical tools for Responsible AI
• Support AI ethics team and encourage responsible practices
• Develop new methods for risk assessment
• Data-related risks: safe and inclusive data-set
• Model-related risks: guardrails or NSFW classifiers to eliminate models
harmful/toxic output
• Testing and transparency
• 3rd party auditing and red teams
• Human feedback mechanisms
• Compliance
• Establishing responsible culture
• Responsible AI must be CEO-led
• Development of mature responsible AI capabilities
• Addressing public discomfort around AI
13. How to build responsible generative AI?
“To be responsible by design, organizations
need to move from a reactive compliance
strategy to the proactive development of
mature Responsible AI capabilities through a
framework that includes principles and
governance; risk, policy and control;
technology and enablers and culture and
training.”
14. Regulations are necessary to enforce responsible AI
• Debate between regulate and not to regulate
• No effective global effort to regulate AI
• Country specific efforts exist
• Big tech is leaning on EU not regulate GPAI
• Governments need to build capability and capacity
• EU AI Act (AIA)
• Risk-based approach in relations to use cases
• UK AI regulation policy
• “light touch” approach
• Sector specific-approach
• 6 cross-sectorial AI governance principles
• US chamber of commerce calls for AI regulation
• 5 pillars for AI regulation
• Google recommendations for regulating AI
• China released rules for Generative AI
15. If we use, to achieve our purposes, a mechanical
agency with whose operation we cannot
interfere effectively … we had better be quite
sure that the purpose put into the machine is the
purpose which we really desire.
- Norbert Weiner