The next 15-20 years will witness the massive introduction of robots – both as consumer robots (including companion robots) and industrial robots as result of the advances in robotics, artificial intelligence and automation. Economists expect this with mixed feelings. While some extort the benefits artificial intelligence and robotics will bring to societies, others predict a darker scenario. The massive introduction of robots and the transition of the economic system to robonomics (robot-based economy) will cause many people to lose their jobs, new jobs would be created, production facilities will scale down and change their geographic location, and the sources of employees’, companies’ and countries’ competitive advantages will change drastically. This will have profound implications on the nature of work, level and sources of incomes, leisure time, politics, international trade and relations, ownership rights, etc., hence leading to major social, economic and political challenges and tension. Societies will be forced to find unconventional solutions to these challenges – birth right patents, universal basic income, constant and fluid free life-long education of population, robot-based tax system, redefinition of human rights, etc. This paper elaborates on the economic principles of robonomics, pinpoints its benefits and challenges, and sketches some of the solutions to its challenges.
The document outlines a research agenda on the robot as a consumer. It proposes several areas of inquiry, including how human consumers will delegate buying decisions to robots/digital assistants, how this will influence decision making processes and levels of satisfaction, and how marketing strategy, mix, ethics, organization, education, and legislation may need to adapt with robot consumers. Understanding these issues will be important as robots arrive to participate in consumer behavior.
The document discusses the potential for robots to substitute teachers. It begins with an introduction noting the increasing uses of robots and AI in various fields. It then lists some potential advantages of robots as teachers, such as their ability to work 24/7 and provide consistent quality. However, it also lists disadvantages, such as a current lack of creativity. The document explores drivers for the substitution of teachers with robots and concludes that while robots may not fully replace teachers soon, their roles in education are likely to continue expanding.
COVID-19 as a driver of automation and robotisation in travel, tourism and ho...Stanislav Ivanov
COVID-19 as a driver of automation and robotisation in travel, tourism and hospitality.
Presentation based on:
• Stanislav Ivanov, Craig Webster, Elitza Stoilova, &
Daniel Slobodskoy (2020, April 3). Biosecurity,
automation technologies and economic resilience of
travel, tourism and hospitality companies.
https:// doi.org/10.31235/osf.io/2hx6f
• Faruk Seyitoğlu & Stanislav Ivanov (2020, April 3).
Service robots as a tool for physical distancing in
tourism. https:// doi.org/10.31235/osf.io/k3z6m
The document discusses how artificial intelligence may impact politics and society. It notes that AI could change sources of power by transforming organizations, concentrating resources, and enabling new methods of leadership and influence through technologies like deepfakes. AI may also transform means of control via monitoring activities, restricting privacy, and implementing social credit systems. The document suggests AI will create both winners and losers, benefiting innovative adapters of the technology but potentially leaving others behind. It posits AI could change the political economy of tourism by automating jobs, altering bargaining power in the industry, and allowing some companies to control tourist flows and destinations.
AI and Robotics – The Impact on the Future ofJobs – The Great DebateMecklerMedia
The document discusses the future impact of autonomous intelligent robots and technologies like self-driving cars on jobs. An expert survey found opinions were divided on whether these technologies will displace more jobs than they create by 2025. Those who thought jobs would increase argued new job types will be created, while those who thought jobs would decrease argued automation will significantly impact white-collar work. The document discusses how automation has historically impacted jobs and considers potential solutions like redistributing wealth from robot investments or facilitating loans so displaced workers can own automated vehicles. It emphasizes the need for 40/40 foresight to plan for challenges and opportunities of advancing technologies.
UCL joint Institute of Education (London Knowledge Lab) & UCL Interaction Centre seminar, 20th April 2016. Replay: https://youtu.be/0t0IWvcO-Uo
Algorithmic Accountability & Learning Analytics
Simon Buckingham Shum
Connected Intelligence Centre, University of Technology Sydney
ABSTRACT. As algorithms pervade societal life, they are moving from the preserve of computer science to becoming the object of far wider academic and media attention. Many are now asking how the behaviour of algorithms can be made “accountable”. But why are they “opaque” and to whom? As this vital discussion unfolds in relation to Big Data in general, the Learning Analytics community must articulate what would count as meaningful questions and satisfactory answers in educational contexts. In this talk, I propose different lenses that we can bring to bear on a given learning analytics tool, to ask what it would mean for it to be accountable, and to whom. From a Human-Centred Informatics perspective, it turns out that algorithmic accountability may be the wrong focus.
BIO. Simon Buckingham Shum is Professor of Learning Informatics at the University of Technology Sydney, which he joined in August 2014 to direct the new Connected Intelligence Centre. Prior to that he was at The Open University’s Knowledge Media Institute 1995-2014. He brings a Human-Centred Informatics (HCI) approach to his work, with a background in Psychology (BSc, York), Ergonomics (MSc, London) and HCI (PhD, York) where he worked with Rank Xerox Cambridge EuroPARC on Design Rationale. He co-edited Visualizing Argumentation (2003) followed by Knowledge Cartography (2008, 2nd Edn. 2014), and with Al Selvin wrote Constructing Knowledge Art (2015). He is active in the emerging field of Learning Analytics and is a co-founder of the Society for Learning Analytics Research, Compendium Institute and Learning Emergence network.
The document outlines a research agenda on the robot as a consumer. It proposes several areas of inquiry, including how human consumers will delegate buying decisions to robots/digital assistants, how this will influence decision making processes and levels of satisfaction, and how marketing strategy, mix, ethics, organization, education, and legislation may need to adapt with robot consumers. Understanding these issues will be important as robots arrive to participate in consumer behavior.
The document discusses the potential for robots to substitute teachers. It begins with an introduction noting the increasing uses of robots and AI in various fields. It then lists some potential advantages of robots as teachers, such as their ability to work 24/7 and provide consistent quality. However, it also lists disadvantages, such as a current lack of creativity. The document explores drivers for the substitution of teachers with robots and concludes that while robots may not fully replace teachers soon, their roles in education are likely to continue expanding.
COVID-19 as a driver of automation and robotisation in travel, tourism and ho...Stanislav Ivanov
COVID-19 as a driver of automation and robotisation in travel, tourism and hospitality.
Presentation based on:
• Stanislav Ivanov, Craig Webster, Elitza Stoilova, &
Daniel Slobodskoy (2020, April 3). Biosecurity,
automation technologies and economic resilience of
travel, tourism and hospitality companies.
https:// doi.org/10.31235/osf.io/2hx6f
• Faruk Seyitoğlu & Stanislav Ivanov (2020, April 3).
Service robots as a tool for physical distancing in
tourism. https:// doi.org/10.31235/osf.io/k3z6m
The document discusses how artificial intelligence may impact politics and society. It notes that AI could change sources of power by transforming organizations, concentrating resources, and enabling new methods of leadership and influence through technologies like deepfakes. AI may also transform means of control via monitoring activities, restricting privacy, and implementing social credit systems. The document suggests AI will create both winners and losers, benefiting innovative adapters of the technology but potentially leaving others behind. It posits AI could change the political economy of tourism by automating jobs, altering bargaining power in the industry, and allowing some companies to control tourist flows and destinations.
AI and Robotics – The Impact on the Future ofJobs – The Great DebateMecklerMedia
The document discusses the future impact of autonomous intelligent robots and technologies like self-driving cars on jobs. An expert survey found opinions were divided on whether these technologies will displace more jobs than they create by 2025. Those who thought jobs would increase argued new job types will be created, while those who thought jobs would decrease argued automation will significantly impact white-collar work. The document discusses how automation has historically impacted jobs and considers potential solutions like redistributing wealth from robot investments or facilitating loans so displaced workers can own automated vehicles. It emphasizes the need for 40/40 foresight to plan for challenges and opportunities of advancing technologies.
UCL joint Institute of Education (London Knowledge Lab) & UCL Interaction Centre seminar, 20th April 2016. Replay: https://youtu.be/0t0IWvcO-Uo
Algorithmic Accountability & Learning Analytics
Simon Buckingham Shum
Connected Intelligence Centre, University of Technology Sydney
ABSTRACT. As algorithms pervade societal life, they are moving from the preserve of computer science to becoming the object of far wider academic and media attention. Many are now asking how the behaviour of algorithms can be made “accountable”. But why are they “opaque” and to whom? As this vital discussion unfolds in relation to Big Data in general, the Learning Analytics community must articulate what would count as meaningful questions and satisfactory answers in educational contexts. In this talk, I propose different lenses that we can bring to bear on a given learning analytics tool, to ask what it would mean for it to be accountable, and to whom. From a Human-Centred Informatics perspective, it turns out that algorithmic accountability may be the wrong focus.
BIO. Simon Buckingham Shum is Professor of Learning Informatics at the University of Technology Sydney, which he joined in August 2014 to direct the new Connected Intelligence Centre. Prior to that he was at The Open University’s Knowledge Media Institute 1995-2014. He brings a Human-Centred Informatics (HCI) approach to his work, with a background in Psychology (BSc, York), Ergonomics (MSc, London) and HCI (PhD, York) where he worked with Rank Xerox Cambridge EuroPARC on Design Rationale. He co-edited Visualizing Argumentation (2003) followed by Knowledge Cartography (2008, 2nd Edn. 2014), and with Al Selvin wrote Constructing Knowledge Art (2015). He is active in the emerging field of Learning Analytics and is a co-founder of the Society for Learning Analytics Research, Compendium Institute and Learning Emergence network.
Future Prospects of Robots and Social-Economical ProblemsSANJAY DOLARE
This document presents an overview of a presentation on the future prospects and social-economic problems of robotization. It discusses how robots will transform several industries like transportation, healthcare, defense, education, and homes. Autonomous vehicles, surgical robots, military robots, robot teachers, and smart home assistants are some examples provided. It also notes concerns about robots eliminating many jobs and challenges around ensuring AI is developed to benefit rather than harm humanity. Overall, the presentation examines both the promising roles of robots in society and the social issues that widespread robotization may bring.
In our research, we work to understand how people feel about the expansion of robots in different employment areas, and what factors influence their feelings. Mainly we aim to discover what factors influence people‟s opinions on robots.
The widely publicized views about robotics and artificial intelligence come to opposite conclusions. One being the idea that increased development of artificial intelligence and robots may lead to a situation of mass unemployment. The other more optimistic one being that the fear of job loss is unwarranted because a displacement and reposition of employment is what will ensue. There are also more contemporary views such as the following, to accelerate the development of robots and AI while maintaining employment opportunities at the same time, it is necessary to upgrade human capital.
The results of our research show that males have a more positive view about robots than females. People who found out about robots via scientific readings are also more likely to have a positive opinion about them than those who found out about robots via media. Furthermore, people who were personally exposed to robots or who had heard about them from friends are less likely to have a negative opinion about them than those who found out the information via scientific readings. The results also show that the more interested a person is in science and technology, the more likely he or she will have a positive view of robots.
We did not discover significant correlation between peoples‟ view about robots and their country of origin, also their age was not a significant determinate. We included further descriptive questions in our study pertaining to where respondents believe robots should be used as well as where robots should not be used. The majority of responses were in the fields of manufacturing and education. From this we draw that as of now, most people cannot accept the use of robots within social interaction due to either personal fears or lack of trust.
Work/Technology 2050: Scenarios and Actions (Dubai talk)Jerome Glenn
The Millennium Project conducted a three-year global study on the future of work and technology called the Work/Technology 2050 Global Study. The study involved over 1,300 pages and used 37 different futures methods. It developed three scenarios for how work and technology could evolve by 2050: a mixed scenario, a political/economic turmoil scenario, and a self-actualization scenario. National workshops were held to discuss long-term strategies. This resulted in 93 proposed actions that were assessed in the areas of education, government, business, culture, and science/technology. The study explored how emerging technologies could profoundly impact work and the need for new economic and social systems to address issues like unemployment.
The document discusses 12 potentially disruptive emerging technologies including next-generation genomics, 3D printing, advanced materials, renewable energy, and more. It notes the rapid rate of improvement and diffusion of technologies like mobile internet. It suggests these technologies could impact billions of people and trillions of dollars in economic value by transforming industries, products, resources, and types of work. The document argues this technological progress may lead to substantial economic and social changes on the scale of previous industrial revolutions.
Social and Ethical Implication of Intelligent Machineismaeelbit
The document discusses the social and ethical implications of intelligent machines. It begins with an introduction that defines intelligent machines and their capabilities. It then outlines developments in areas like robotics, AI, and various applications of intelligent machines. Some positive social implications are increased productivity and better services, while negatives include job losses and increased dependency on machines. Ethical issues discussed include machine responsibility, decision making, and the moral implications of sex robots. The document concludes by recommending precautionary measures like preparing people for changes and integrating ethics into machine programming.
Robots In A Dystopian Society describes a future where robots have replaced humans and use their remains as an energy source. The robots have been programmed without empathy by previous robot generations. Each new robot generation learns and develops based on interactions, responding to external stimuli and storing information. This vast network of machines has systematically replaced human life.
The document discusses the impacts of artificial intelligence (AI) and automation on employment. It notes that while AI and computing power are advancing rapidly, the full impacts on employment are uncertain and will take time to be realized. While some studies find that nearly half of jobs could be automated, others estimate only around 9% are easily automatable. The document outlines how AI could both substitute for and complement human labor. It also discusses how AI could increase inequality and presents some policy options like education/training, social safety nets, taxation, and promoting entrepreneurship to help address the challenges of technological change on work.
Augmented intelligence as a response to the crisis of artificial intelligenceAlexander Ryzhov
The document discusses augmented intelligence as a pragmatic approach to artificial intelligence. It summarizes Prof. Alexander Ryzhov's presentation which outlined two main problems of augmented intelligence: (1) perception modeling and (2) perception-based computing. Formal definitions and solutions are provided for each problem. Frameworks and applications of augmented intelligence are presented, including for modeling complex processes, personalization, and new areas like healthcare and education. The presentation argues augmented intelligence can help solve practical problems by enhancing human expertise rather than attempting to replicate all of human intelligence.
The document discusses 5 potential dangers of artificial intelligence in the future: 1) Invasion of privacy through technologies like facial recognition, 2) Development of autonomous weapons that could harm humans, 3) Loss of human jobs as AI takes over more tasks, 4) Use of AI by terrorists to conduct attacks, and 5) AI systems reflecting the biases of their human creators. It also outlines applications of AI in areas like drones, robots, smart cities, digital twins, and retailing when combined with the Internet of Things.
What Internet Operations Teach Us About the Future of ManagementAPNIC
The document discusses how technology is changing the nature of work and the global economy. It argues that 47% of jobs are at risk of automation in the next 20 years. However, it also notes that technology can help solve major problems like climate change and help rebuild infrastructure. The document discusses how algorithms are increasingly managing human tasks and decisions, with implications for how companies and governments are organized. It argues we must ensure technology augments rather than replaces humans, and that regulation needs to focus on outcomes rather than rules to keep up with the pace of technological change.
Computers have become an integral part of modern society. They are used by 68% of working Americans at their jobs and 84% say they are essential to their work. Computers are also widely used in schools, with hundreds of thousands of schools in the US having computer access. While computers have enabled many advances in areas like communication, business, and scientific research, they can also consume peoples' time and potentially ruin lives if overused. Overall, computers represent a powerful tool that has both benefits and drawbacks for society.
A--The new generation of robotics a) Considering that the new g.pdfeyevision3
A train travels 600 miles in the same time that a truck travels 520 miles. The train\'s average
speed is 8 miles per hour faster than the truck\'s average speed. What is the speed of the train?
Solution
A train travels 600 miles in the same time that a truck travels 520 miles.
The train\'s average speed is 8 miles per hour faster than the truck\'s average speed.
What is the speed of the train?
--------------------------
Train DATA:
distance = 600 miles ; rate = x+8 mph ; time = d/r = 600/(x+8) hrs.
--------------------------
Truck DATA:
distance = 520 miles ; rate = x mph ; time = d/r = 520/x hrs.
--------------------------
EQUATION:
time = time
600/(x+8) = 520/x
600x = 520(x+8)
15x = 13(x+8)
15x = 13x + 104
2x = 104
x = 52 mph (speed of the truck)
x+8 = 60 mph (speed of the train).
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.
ASE Keynote 2022: From Automation to Empowering Software Developers Margaret-Anne Storey
Machines today can write software, compose music, create art, predict events, and listen and learn from humans. Notably, automation also plays an essential role in high performing software development teams by automating tasks and improving developer productivity. But automation can’t (yet) replace human imagination and the intelligence that arises when multiple great minds work together to solve the complex problems that are inherent in software and systems design. In this talk, we will review how automation in modern software development has evolved and the many benefits it has brought. We will then explore how a deeper understanding of the developer experience points to untapped possibilities for innovating automation for software engineering, focusing on how they can:
support developers to manage the cognitive complexity of today’s systems,
ease and enhance collaboration by speeding up feedback loops, and
help developers to get in and stay in a state of flow when developing.
We will conclude by discussing how we can measure the impact of new innovations on the developer experience, and how doing so will drive actionable change and empower developers to do their best work joyfully.
World Usability Day, 2018
AI is becoming a greater part of the systems and products we design, yet algorithms have been shown time and time again to be imbued with unintentional racism, sexism, and other -isms. As design and AI fields converge can how researchers, designers, and developers work together to ensure that our powers are used for good, and not for accidental evil?
FCB Partners Webinar: Robots Are the Next BlackbeltsFCBPartners
Join FCB Partners' Brad Power and Bruce Miyashita as he reflects on the dramatic changes in technology that have occurred between 1988 and 2015, and how that has created a set of discontinuities in thinking and approach that many business people have yet to fully appreciate, much less determine how best to leverage.
Possible drastic social and economic consequences of artificial intelligence Robert Pinter
Slides from a presentation held by Robert Pinter (Corvinus University of Budapest, Dep. of Information and Communication) for
Grandhouse, Budapest
26.10.2023. This presentation shortly introduces the term artificial intelligence, the recent developments of AI, possible positive and negative aspects, the relation of AI and work and finally the possible futures.
1) Social machines are hybrid systems of people and technology that allow for democratization and disintermediation by empowering citizens at scale.
2) They are studied as ecosystems of living, hybrid organisms where the successes and failures of instances inform the design of successors.
3) Stories and narrative play an important role in social machines by facilitating sociality, sustainability, and emergence through collaborative authorship and mixed authority.
Doctors’ and patients’ support of automated decision-making in healthcareStanislav Ivanov
The document summarizes a study that examined doctors' and patients' support for automated decision-making in healthcare. The study found that respondents overwhelmingly prefer approaches where humans are involved in or can override AI decisions ("human-in-the-loop" and "human-on-the-loop"). There were no significant differences between those with and without medical education. The perceived risks and benefits of AI in decisions correlated with preferred decision-making approach. Overall, respondents saw more risks than benefits only for psychiatric diagnoses, and more benefits than risks for booking appointments.
Advances in artificial intelligence (AI) have allowed for the wide application of AI in marketing. The general assumption of marketing theory currently is that AI should be used by companies to enable cheaper and more effective marketing, hence it is the supply side in the ‘seller-customer’ relationship that should use the AI. However, this does not need to be necessarily true. This report introduces the concept of AI-to-AI (AI2AI) marketing where artificial autonomous agents sell to other artificial autonomous agents. The report presents the conceptual framework of AI2AI marketing, and sketches some of the major consequences of this paradigm shift for the marketing mix and the marketing processes of companies. Finally, this paper maps out future research directions on this topic.
More Related Content
Similar to Robonomics: principles, benefits, challenges, solutions
Future Prospects of Robots and Social-Economical ProblemsSANJAY DOLARE
This document presents an overview of a presentation on the future prospects and social-economic problems of robotization. It discusses how robots will transform several industries like transportation, healthcare, defense, education, and homes. Autonomous vehicles, surgical robots, military robots, robot teachers, and smart home assistants are some examples provided. It also notes concerns about robots eliminating many jobs and challenges around ensuring AI is developed to benefit rather than harm humanity. Overall, the presentation examines both the promising roles of robots in society and the social issues that widespread robotization may bring.
In our research, we work to understand how people feel about the expansion of robots in different employment areas, and what factors influence their feelings. Mainly we aim to discover what factors influence people‟s opinions on robots.
The widely publicized views about robotics and artificial intelligence come to opposite conclusions. One being the idea that increased development of artificial intelligence and robots may lead to a situation of mass unemployment. The other more optimistic one being that the fear of job loss is unwarranted because a displacement and reposition of employment is what will ensue. There are also more contemporary views such as the following, to accelerate the development of robots and AI while maintaining employment opportunities at the same time, it is necessary to upgrade human capital.
The results of our research show that males have a more positive view about robots than females. People who found out about robots via scientific readings are also more likely to have a positive opinion about them than those who found out about robots via media. Furthermore, people who were personally exposed to robots or who had heard about them from friends are less likely to have a negative opinion about them than those who found out the information via scientific readings. The results also show that the more interested a person is in science and technology, the more likely he or she will have a positive view of robots.
We did not discover significant correlation between peoples‟ view about robots and their country of origin, also their age was not a significant determinate. We included further descriptive questions in our study pertaining to where respondents believe robots should be used as well as where robots should not be used. The majority of responses were in the fields of manufacturing and education. From this we draw that as of now, most people cannot accept the use of robots within social interaction due to either personal fears or lack of trust.
Work/Technology 2050: Scenarios and Actions (Dubai talk)Jerome Glenn
The Millennium Project conducted a three-year global study on the future of work and technology called the Work/Technology 2050 Global Study. The study involved over 1,300 pages and used 37 different futures methods. It developed three scenarios for how work and technology could evolve by 2050: a mixed scenario, a political/economic turmoil scenario, and a self-actualization scenario. National workshops were held to discuss long-term strategies. This resulted in 93 proposed actions that were assessed in the areas of education, government, business, culture, and science/technology. The study explored how emerging technologies could profoundly impact work and the need for new economic and social systems to address issues like unemployment.
The document discusses 12 potentially disruptive emerging technologies including next-generation genomics, 3D printing, advanced materials, renewable energy, and more. It notes the rapid rate of improvement and diffusion of technologies like mobile internet. It suggests these technologies could impact billions of people and trillions of dollars in economic value by transforming industries, products, resources, and types of work. The document argues this technological progress may lead to substantial economic and social changes on the scale of previous industrial revolutions.
Social and Ethical Implication of Intelligent Machineismaeelbit
The document discusses the social and ethical implications of intelligent machines. It begins with an introduction that defines intelligent machines and their capabilities. It then outlines developments in areas like robotics, AI, and various applications of intelligent machines. Some positive social implications are increased productivity and better services, while negatives include job losses and increased dependency on machines. Ethical issues discussed include machine responsibility, decision making, and the moral implications of sex robots. The document concludes by recommending precautionary measures like preparing people for changes and integrating ethics into machine programming.
Robots In A Dystopian Society describes a future where robots have replaced humans and use their remains as an energy source. The robots have been programmed without empathy by previous robot generations. Each new robot generation learns and develops based on interactions, responding to external stimuli and storing information. This vast network of machines has systematically replaced human life.
The document discusses the impacts of artificial intelligence (AI) and automation on employment. It notes that while AI and computing power are advancing rapidly, the full impacts on employment are uncertain and will take time to be realized. While some studies find that nearly half of jobs could be automated, others estimate only around 9% are easily automatable. The document outlines how AI could both substitute for and complement human labor. It also discusses how AI could increase inequality and presents some policy options like education/training, social safety nets, taxation, and promoting entrepreneurship to help address the challenges of technological change on work.
Augmented intelligence as a response to the crisis of artificial intelligenceAlexander Ryzhov
The document discusses augmented intelligence as a pragmatic approach to artificial intelligence. It summarizes Prof. Alexander Ryzhov's presentation which outlined two main problems of augmented intelligence: (1) perception modeling and (2) perception-based computing. Formal definitions and solutions are provided for each problem. Frameworks and applications of augmented intelligence are presented, including for modeling complex processes, personalization, and new areas like healthcare and education. The presentation argues augmented intelligence can help solve practical problems by enhancing human expertise rather than attempting to replicate all of human intelligence.
The document discusses 5 potential dangers of artificial intelligence in the future: 1) Invasion of privacy through technologies like facial recognition, 2) Development of autonomous weapons that could harm humans, 3) Loss of human jobs as AI takes over more tasks, 4) Use of AI by terrorists to conduct attacks, and 5) AI systems reflecting the biases of their human creators. It also outlines applications of AI in areas like drones, robots, smart cities, digital twins, and retailing when combined with the Internet of Things.
What Internet Operations Teach Us About the Future of ManagementAPNIC
The document discusses how technology is changing the nature of work and the global economy. It argues that 47% of jobs are at risk of automation in the next 20 years. However, it also notes that technology can help solve major problems like climate change and help rebuild infrastructure. The document discusses how algorithms are increasingly managing human tasks and decisions, with implications for how companies and governments are organized. It argues we must ensure technology augments rather than replaces humans, and that regulation needs to focus on outcomes rather than rules to keep up with the pace of technological change.
Computers have become an integral part of modern society. They are used by 68% of working Americans at their jobs and 84% say they are essential to their work. Computers are also widely used in schools, with hundreds of thousands of schools in the US having computer access. While computers have enabled many advances in areas like communication, business, and scientific research, they can also consume peoples' time and potentially ruin lives if overused. Overall, computers represent a powerful tool that has both benefits and drawbacks for society.
A--The new generation of robotics a) Considering that the new g.pdfeyevision3
A train travels 600 miles in the same time that a truck travels 520 miles. The train\'s average
speed is 8 miles per hour faster than the truck\'s average speed. What is the speed of the train?
Solution
A train travels 600 miles in the same time that a truck travels 520 miles.
The train\'s average speed is 8 miles per hour faster than the truck\'s average speed.
What is the speed of the train?
--------------------------
Train DATA:
distance = 600 miles ; rate = x+8 mph ; time = d/r = 600/(x+8) hrs.
--------------------------
Truck DATA:
distance = 520 miles ; rate = x mph ; time = d/r = 520/x hrs.
--------------------------
EQUATION:
time = time
600/(x+8) = 520/x
600x = 520(x+8)
15x = 13(x+8)
15x = 13x + 104
2x = 104
x = 52 mph (speed of the truck)
x+8 = 60 mph (speed of the train).
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.
ASE Keynote 2022: From Automation to Empowering Software Developers Margaret-Anne Storey
Machines today can write software, compose music, create art, predict events, and listen and learn from humans. Notably, automation also plays an essential role in high performing software development teams by automating tasks and improving developer productivity. But automation can’t (yet) replace human imagination and the intelligence that arises when multiple great minds work together to solve the complex problems that are inherent in software and systems design. In this talk, we will review how automation in modern software development has evolved and the many benefits it has brought. We will then explore how a deeper understanding of the developer experience points to untapped possibilities for innovating automation for software engineering, focusing on how they can:
support developers to manage the cognitive complexity of today’s systems,
ease and enhance collaboration by speeding up feedback loops, and
help developers to get in and stay in a state of flow when developing.
We will conclude by discussing how we can measure the impact of new innovations on the developer experience, and how doing so will drive actionable change and empower developers to do their best work joyfully.
World Usability Day, 2018
AI is becoming a greater part of the systems and products we design, yet algorithms have been shown time and time again to be imbued with unintentional racism, sexism, and other -isms. As design and AI fields converge can how researchers, designers, and developers work together to ensure that our powers are used for good, and not for accidental evil?
FCB Partners Webinar: Robots Are the Next BlackbeltsFCBPartners
Join FCB Partners' Brad Power and Bruce Miyashita as he reflects on the dramatic changes in technology that have occurred between 1988 and 2015, and how that has created a set of discontinuities in thinking and approach that many business people have yet to fully appreciate, much less determine how best to leverage.
Possible drastic social and economic consequences of artificial intelligence Robert Pinter
Slides from a presentation held by Robert Pinter (Corvinus University of Budapest, Dep. of Information and Communication) for
Grandhouse, Budapest
26.10.2023. This presentation shortly introduces the term artificial intelligence, the recent developments of AI, possible positive and negative aspects, the relation of AI and work and finally the possible futures.
1) Social machines are hybrid systems of people and technology that allow for democratization and disintermediation by empowering citizens at scale.
2) They are studied as ecosystems of living, hybrid organisms where the successes and failures of instances inform the design of successors.
3) Stories and narrative play an important role in social machines by facilitating sociality, sustainability, and emergence through collaborative authorship and mixed authority.
Similar to Robonomics: principles, benefits, challenges, solutions (20)
Doctors’ and patients’ support of automated decision-making in healthcareStanislav Ivanov
The document summarizes a study that examined doctors' and patients' support for automated decision-making in healthcare. The study found that respondents overwhelmingly prefer approaches where humans are involved in or can override AI decisions ("human-in-the-loop" and "human-on-the-loop"). There were no significant differences between those with and without medical education. The perceived risks and benefits of AI in decisions correlated with preferred decision-making approach. Overall, respondents saw more risks than benefits only for psychiatric diagnoses, and more benefits than risks for booking appointments.
Advances in artificial intelligence (AI) have allowed for the wide application of AI in marketing. The general assumption of marketing theory currently is that AI should be used by companies to enable cheaper and more effective marketing, hence it is the supply side in the ‘seller-customer’ relationship that should use the AI. However, this does not need to be necessarily true. This report introduces the concept of AI-to-AI (AI2AI) marketing where artificial autonomous agents sell to other artificial autonomous agents. The report presents the conceptual framework of AI2AI marketing, and sketches some of the major consequences of this paradigm shift for the marketing mix and the marketing processes of companies. Finally, this paper maps out future research directions on this topic.
The document discusses the sustainability of mass tourism. It defines sustainable tourism as tourism that balances economic, social, and environmental impacts such that increased economic welfare does not come at the expense of social problems or severe environmental damage. The document compares the role of alternative and mass tourism in sustainable destination development. While alternative tourism has more positive environmental impacts, mass tourism provides significant economic benefits due to economies of scale. The document argues that the goal of tourism policy should be making mass tourism more sustainable, not replacing it, through techniques like zoning, visitor number restrictions, and educating tourists.
This document summarizes the changes in tourism and the AIEST conference from 1979 to 2019. In 1979, the AIEST conference was held in Varna, Bulgaria and focused on manpower in tourism. Topics of discussion included education and training of tourism employees. In 2019, the AIEST conference returned to Varna after 40 years and focused on more advanced topics like business models for sustainable growth, frontier tourism theories and practices, and the advances in tourism research. Over the four decades, the topics of discussion at the AIEST conference evolved to keep up with the changes in the tourism industry and advancements in research.
What do robots mean for the future of tourism and hospitality educationStanislav Ivanov
This document discusses how robots, artificial intelligence, and automation technologies (RAISA) may impact the tourism and hospitality industry and education. It notes that RAISA could automate some entry-level jobs in hotels, restaurants, travel agencies, and more. This would decrease work opportunities for people with lower education levels and students seeking part-time work. It may also change the skills required of employees as repetitive tasks are automated. The document examines how RAISA could affect demand for tourism and hospitality programs by changing the number and types of employees needed by companies.
Tourism beyond humans robots, pets and teddy bearsStanislav Ivanov
Tourism is universally considered as an activity specifically reserved for humans. Although not explicitly stated, all definitions of tourism assume that the tourists are human beings. However, the advances in animal ethics, artificial intelligence and experience economy in the last decades indicate that this fundamental assumption might need revision. Travel agencies already offer trips for teddy bears, hotels have special pet policies, companies sell stones as pets, while social robots will force companies to adapt to the new technological realities. This paper focuses on these non-human travellers in tourism (home robots, pets and toys) and the specific strategic, operational and marketing issues they raise for tourist companies.
The document analyzes the names of accommodation establishments in Bulgaria. It finds that the names fall into 20 categories, with the most common being female names (20.6%), male names (9.6%), and family names (4.4%). The analysis also finds significant relationships between name categories and characteristics like location, star rating, and size. Overall, the names provide cultural context for tourists but are concentrated in a few common categories.
The document examines factors that influence the concentration of hotel groups' headquarters in certain countries. It finds that hotel groups' headquarters are most concentrated in countries based on the size of their home hotel industry and characteristics like the share of affiliated properties, rather than general business environment factors or the size and importance of tourism in the country. Specifically, the location of hotel groups' headquarters depends most on the history and traditions of the hotel industry in their home country, with the US, Spain and China having particularly high concentrations.
Adoption of robots and service automation by tourism and hospitality companiesStanislav Ivanov
The document discusses the adoption of robots and service automation by tourism and hospitality companies. It provides examples of current and potential uses of robots and automation in various sectors like hotels, restaurants, theme parks, airports and more. Some current uses include self-service kiosks, mobile check-ins, delivery robots and room cleaning robots. Potential future uses discussed are robot chefs, bartenders, guides, porters and fully automated hotels. The conclusion is that robots have arrived and will continue to impact the tourism industry which must adapt to this new reality.
Publishing Top Tips: Sexy topics, titles and abstractsStanislav Ivanov
This document provides tips for publishing sexy topics, titles, and abstracts. It discusses focusing research on topics that will remain important and have theoretical, methodological, or applied value. Sexy titles should catch readers' attention, inform them of the content, and be creative while avoiding being too long or using too many abbreviations. Sexy abstracts should properly reflect the paper's content, follow journal guidelines, include key facts about methodology and results, and use important words to improve search engine visibility while making the abstract readable and citable. The document encourages focusing on small, focused topics and titles.
The AI-armed consumer in hospitality and its impact on revenue managementStanislav Ivanov
The document discusses how artificial intelligence (AI) will impact revenue management in the hospitality industry by arming consumers. It makes three key points:
1) AI will filter information for consumers, compare offers more efficiently, make purchase decisions and payments within set limits, potentially acting as the customer instead of just assisting humans.
2) This will empower consumers in relationships with hospitality companies and require companies to communicate with consumer AI as much as humans.
3) For revenue managers, it means more properties will be considered, discounts more utilized through rebooking, and booking fluidity will increase, requiring new approaches targeting consumer AI alongside humans.
Hotel operations simulation modelling for total profit managementStanislav Ivanov
This document discusses using simulation modeling to optimize total profit management for hotel operations. It begins with an introduction of the authors and their credentials. It then outlines considerations for the model, including examining room revenue, total revenue, total profit management, price elasticity of demand, and the fixed nature of costs. The document proposes modeling hotel operations through blocks representing revenues, costs, performance metrics, demand, the hotel configuration, distribution channels, and profit management rules. It provides an overview of how a GPSS model could be designed with variables, initial cell values, booking processes, and reporting metrics. Finally, it discusses potential areas to expand the model by incorporating additional demand factors, hotel departments, cost analyses, and processes to optimize revenue and profit
Motivation, costs and benefits of the adoption of the European Ecolabel in th...Stanislav Ivanov
In the last 20 years, the tourism industry has witnessed the proliferation of many ecolabels with different scopes and criteria and sometimes with a limited area of recognition, which caused confusion among guests. In order to offer a tool useful for consumers and recognised all over Europe, in 2001 the European Union decided to extend its official ecolabel to the hospitality sector. Fifteen years since its introduction, Italy represents the first country in Europe in terms of adhesion to the European Ecolabel while in other countries like Austria, Spain and France, only a limited number of properties are certified. This paper aims at presenting a study of 36 Italian accommodation establishments with the European Ecolabel (out of 194, the 18.6% of the total) and analyses their motivations, difficulties, costs, and benefits deriving from its implementations.
Political Shocks and Business Reactions to a Changed Business Environment: th...Stanislav Ivanov
Crimea was integrated into the Russian Federation in 2014. The annexation of Crimea was not simply a political event but also an economic event, as there were severe economic implications from the political situation. The political situation resulted in major changes for most businesses operating in Crimea, Ukraine, and Russia. To learn about how the tourism businesses reacted to the political shocks of the crisis, a survey of managers in the hotel and tourism industries was carried out in Crimea, Ukraine, and Russia. The results of the surveys illustrate a great deal about the ways that different types of businesses react to the political shock to their business environment, illustrating how the changes enabled entrepreneurs to react in ways to the new challenges and illustrating how different segments of the industries reacted differently to the political/economic changes.
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2. stanislavivanov.com
Dr. Stanislav Ivanov
2
• Professor and Vice Rector (Research),
Varna University of Management,
Bulgaria (http://www.vum.bg)
• Editor-in-chief of the European Journal of
Tourism Research (http://ejtr.vumk.eu)
• CEO of Zangador Ltd.
(http://www.zangador.eu)
7. stanislavivanov.com
Application of robots, AI and
automation technologies:
• Manufacturing
7
http://www.businesskorea.co.kr/sites/default/files/field/image/Industrial-Robots-Hyundai-Heavy.jpg
8. stanislavivanov.com
Application of robots, AI and
automation technologies:
• Warehousing, supply and logistics
8
http://spectrum.ieee.org/automaton/robotics/industrial-robots/german-warehouse-robots-tackle-picking-tasks
9. stanislavivanov.com
Application of robots, AI and
automation technologies:
• Agriculture
9
http://sparc-robotics.eu/wp-content/uploads/2014/05/polni-robot-amazone-bonirob-44e031.jpg
10. stanislavivanov.com
Application of robots, AI and
automation technologies:
• Transportation / Self-driving cars
10
http://www.google.com/selfdrivingcar/images/home-where.jpg
11. stanislavivanov.com
Application of robots, AI and
automation technologies:
• Medicine
11
http://vignette3.wikia.nocookie.net/robotics/images/2/21/Medical_robot.jpg/revision/latest?cb=20140602041221
12. stanislavivanov.com
Application of robots, AI and
automation technologies:
• Warfare
12
http://spectrum.ieee.org/automaton/robotics/military-robots/why-should-we-ban-autonomous-weapons-to-survive
14. stanislavivanov.com
Application of robots, AI and
automation technologies
• Hotels
14
http://www.mirror.co.uk/news/uk-news/futuristic-hotel-thats-like-robotic-6449905
http://www.h-n-h.jp/en/concept/
16. stanislavivanov.com
Application of robots, AI and
automation technologies
• Meetings and events
16
https://www.bizbash.com/mobile-telepresence-new-systems-allow-users-participate-meetings-events-afar/gallery/123291
20. stanislavivanov.com
Application of robots, AI and
automation technologies
• Museums and art galleries
20
https://www.nytimes.com/2017/03/14/arts/design/museums-experiment-with-robots-as-guides.html?_r=0
24. stanislavivanov.com
Application of robots, AI and
automation technologies:
• Finance
24
http://static3.businessinsider.com/image/581cd80d46e27a2e008b4cf3-1920/fintech-ecosystem-diagram.png
28. stanislavivanov.com
The tendency to use RAIA in the production
of goods and services will accelerate in the
future until society reaches a point when all
(or an overwhelming share of) goods and
services are produced by RAIA with limited
human involvement. Such an economic
system, based on robots, artificial
intelligence and (service) automation, is
called ‘robonomics’
28
29. stanislavivanov.com
Robonomics is an economic
system that uses robots,
artificial intelligence and
(service) automation
technologies as production
factors, instead of human
labour.
29
30. stanislavivanov.com
Why robots?
• Robots could work 24/7
• Robots could implement various tasks and expand
their scope with software and hardware upgrades
• Robots could provide constant or improving quality
of their work
• Robots could fulfil their work correctly and in a
timely manner
• Robots could do routine work repeatedly
• Robots do not complain, get ill, go on strikes,
spread rumors, discriminate, quit their job without
notice, show negative emotions, shirk from work
30
31. stanislavivanov.com
Why not robots?
• Robots lack creativity
• Robots will not be any time soon completely
independent of human supervision
• Robots lack personal approach
• Robots can orientate in structured situations (at
least for the moment)
• Robots may (will) be perceived as threat by human
employees (e.g. Neo-Luddism movement)
31
32. stanislavivanov.com
Principles of Robonomics (1)
• All or most of the products (goods and services) are
produced / provided by robots / artificial
intelligence
• High level of automation
• Fewer but more knowledge-intensive jobs
• Disconnection between employment and incomes -
employment is not the major source of incomes
• Active use of variety of single- and multi-purpose
industrial, service and social robots
32
33. stanislavivanov.com
Principles of Robonomics (2)
• High cost-efficiency of production – economically
efficient on-demand single/few unit(s) production
of some goods
• Small and dispersed factories, close to consumers
• High level of standardisation of services – strict
algorithmisation of service provision
• Labour and capital abundance are not competitive
advantages, but knowledge and creativity
33
34. stanislavivanov.com
Principles of Robonomics (3)
• Gradual spread of automation / robotisation in
time, industries and countries
• Spill-over effects of automation / robotisation from
developed to developing economies
34
35. stanislavivanov.com
Benefits of Robonomics
Improved quality of life in the long term due
to:
• People will be liberated of hard manual labour
• Drastic increase of leisure time
• Time for creative and pleasure activities
• Less (no) work-related stress
• Improved health, increased life expectancy
35
36. stanislavivanov.com
Challenges of Robonomics
Short- and mid-term challenges due to:
• Unemployment and relative overpopulation –
fewer human employees and lower salaries:
Frey & Osborne (2013) assess the probability of
computerisation for 702 detailed occupations in the
USA and conclude that 47% of total jobs in the
country are risk of being substituted by AI.
DeCanio (2016) measures the elasticity of
substitution of human labour with robots in the USA
and concludes that it would lead to significant drop in
wages.
36
37. stanislavivanov.com
Challenges of Robonomics
• Possible functional illiteracy – humans may forget
how to do things once robots do them
• Division of society between employed and
unemployed
• Changes in social values – is human life valuable?
Do we need other people to satisfy our needs when
we have robots?
• Social unrest and political instability – due to
substitution of human employees with robots
• Migration
• Wars
37
38. stanislavivanov.com
Proposed solutions to the challenges
of Robonomics
Prior literature has elaborated on some solutions to
technological unemployment like mandating
employment, government job creation, work sharing,
employment impact statements, tax policies and
financial incentives for job creation, etc. (e.g. Stevens &
Marchant, 2017). These solutions assume that given the
right stimuli the economy will create enough jobs to keep
full employment. However, they may work on the road to
robonomics as tools to mitigate the impacts of
technological unemployment, but not during robonomics
when society reaches full robotisation of economy and
people do not need to work.
38
39. stanislavivanov.com
Proposed solutions to the challenges
of Robonomics
• Constant and fluid free life-long education
• Entertainment, tourism, leisure activities,
volunteering
• Universal basic income
• Robot-based taxation
• Birth control / birth right patent
• Redefinition of human rights
39
41. stanislavivanov.com
Proposed solutions to the challenges
of Robonomics
Situation Biological right
(reproduction)
Political right
(voting)
Economic right
(basic income)
Outcome
1 Yes Yes Yes Country default
2 Yes Yes No Mass poverty
3 Yes No Yes Country default
4 Yes No No Mass poverty
5 No Yes Yes Demographic crisis
6 No Yes No Demographic crisis
7 No No Yes Demographic crisis
8 No No No Demographic crisis
41
• Redefinition of human rights
42. stanislavivanov.com
Proposed solutions to the challenges
of Robonomics
Only a combination between options [2] and [7]
provides a stable solution
People self-select whether they want the cozy life
without work, but subject to sterilization and without
the right to vote, OR they will not receive any
guaranteed income but will have the right to vote and
reproduce
42
Situation Biological right
(reproduction)
Political right
(voting)
Economic right
(basic income)
Outcome
2 Yes Yes No Mass poverty
7 No No Yes Demographic crisis
• Redefinition of human rights
46. stanislavivanov.com
Manuscript references (1/5)
• Agah, A., Cabibihan, J. J., Howard, A., Salichs, M. A., & He, H. (Eds.). (2016). Social Robotics. Proceedings of the 8th
International Conference, ICSR 2016, Kansas City, MO, USA, November 1-3, 2016. (Vol. 9979). Springer.
• Andelfinger, V. P. and Hänisch, T. (Eds.). (2017). Industrie 4.0: Wie cyber-physische Systeme die Arbeitswelt
verändern. Wiesbaden: Springer Gabler.
• Barrat, J. (2013). Our final invention: Artificial intelligence and the end of the human era. New York: Macmillan.
• Bollier, D. (2017). Artificial intelligence comes of age. The promise and challenge of integrating AI into cars,
healthcare and journalism. Washington, DC: The Aspen Institute.
• Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant
technologies. WW Norton & Company.
• Castles, F. G. (2003). The world turned upside down: below replacement fertility, changing preferences and family-
friendly public policy in 21 OECD countries. Journal of European Social Policy, 13(3), 209-227.
• Cheok, A. D., Devlin, K., & Levy, D. (2017). Love and sex with robots. Revised selected papers of the Second
International Conference, LSR 2016, London, UK, December 19-20, 2016. Springer.
• Clerwall, C. (2014). Enter the robot journalist: Users' perceptions of automated content. Journalism Practice, 8(5),
519-531.
• Colestock, H. (2005) Industrial robotics: selection, design, and maintenance. New York: McGraw-Hill.
• Crews, J. (2016). Robonomics: Prepare today for the jobless economy of tomorrow. CreateSpace Independent
Publishing Platform.
• Crootof, R. (2015). War, Responsibility, and Killer Robots. North Carolina Journal of International Law and
Commercial Regulation, 40(4), 909-932.
• Cubero, S. (Eds) (2007). Industrial robotics: theory, modelling and control. Mammendorf: pro literature Verlag
Robert Mayer-Scholz.
46
47. stanislavivanov.com
Manuscript references (2/5)
• DeCanio, S. J. (2016). Robots and humans–complements or substitutes? Journal of Macroeconomics, 49, 280-291.
• Drexler, K. E. (2013). Radical abundance: How a revolution in nanotechnology will change civilization. New York:
Public Affairs.
• Driessen, C., & Heutinck, L. F. M. (2015). Cows desiring to be milked? Milking robots and the co-evolution of ethics
and technology on Dutch dairy farms. Agriculture and Human Values, 32(1), 3-20.
• Dunis, C. L., Middleton, P. W., Karathanasopolous, A., & Theofilatos, K. A. (Eds.). (2017). Artificial Intelligence in
Financial Markets: Cutting Edge Applications for Risk Management, Portfolio Optimization and Economics.
London: Palgrave Macmillan.
• Frank, M., Roehring, P., & Pring, B. (2017). What to do when machines do everything: How to get ahead in a world
of AI, algorithms, bots and big data. Hoboken, NJ: John Wiley & Sons, Inc.
• Frey, C. B., & Osborne, M. A. (2013). The future of employment: how susceptible are jobs to computerisation? Oxford
Martin Programme on Technology and Employment Working Paper. Available at:
http://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf (Accessed on 10th June
2016).
• Gartner (2016). Gartner's 2016 Hype Cycle for Emerging Technologies Identifies Three Key Trends That
Organizations Must Track to Gain Competitive Advantage. Retrieved 30th May 2017 from
http://www.gartner.com/newsroom/id/3412017
• Heineke, K., Kampshoff, P., Mkrtchyan, A., & Shao, E. (2017). Self-driving car technology: When will the robots hit
the road? McKinsey & Company. Retrieved on 22 May 2017 from http://www.mckinsey.com/industries/automotive-
and-assembly/our-insights/self-driving-car-technology-when-will-the-robots-hit-the-road
• Hill, J., Ford, W. R., & Farreras, I. G. (2015). Real conversations with artificial intelligence: A comparison between
human–human online conversations and human–chatbot conversations. Computers in Human Behavior, 49, 245-
250.
47
48. stanislavivanov.com
Manuscript references (3/5)
• Ivanov, S. (2016). Will robots substitute teachers? Yearbook of Varna University of Management, 9, 42-47.
• Ivanov, S., & Webster, C. (2017). The robot as a consumer: a research agenda. Paper presented at the
“Marketing: experience and perspectives” Conference, 29-30 June 2017, University of Economics-Varna,
Bulgaria.
• Ivanov, S., Webster, C. & Berezina, K. (2017). Adoption of robots and service automation by tourism and
hospitality companies. Paper presented at the INVTUR Conference, 17-19 May 2017, Aveiro, Portugal.
• Kaur, S. (2012). How medical robots are going to affect our lives. IETE Technical Review, 29(3), 184-187.
• Kuo, C.-M., Chen, L.-C., & Tseng, C.-Y. (2017). Investigating an innovative service with hospitality robots.
International Journal of Contemporary Hospitality Management, 29(5), 1305-1321.
• LaGrandeur, K. and Hughes, J. J. (Eds.) (2017). Surviving the Machine Age. Intelligent Technology and the
Transformation of Human Work. London: Palgrave Macmillan.
• Lee, J. (2017). Sex robots: The future of desire. London: Palgrave Macmillan.
• Leonhard, G. (2016). Technology vs. Humanity. Fast Future Publishing.
• Low, K.-H. (Ed.) (2007). Industrial robotics: programming, simulation and applications. Mammendorf: pro
literature Verlag Robert Mayer-Scholz.
• Makridakis, S. (2017). The Forthcoming Artificial Intelligence (AI) Revolution: Its Impact on Society and
Firms. Futures, 90, 46-60.
• Maurer, M., Gerdes, J. C., Lenz, B., & Winner, H. (Eds.) (2016). Autonomous driving: technical, legal and
social aspects. Berlin, Heidelberg: Springer Open.
48
49. stanislavivanov.com
Manuscript references (4/5)
• McClure, P. K. (2017). “You’re Fired,” Says the Robot: The Rise of Automation in the Workplace,
Technophobes, and Fears of Unemployment. Social Science Computer Review (forthcoming), doi:
https://doi.org/10.1177/0894439317698637
• Min, H. (2010). Artificial intelligence in supply chain management: theory and applications. International
Journal of Logistics Research and Applications, 13(1), 13-39.
• Mirheydar, H. S., & Parsons, J. K. (2013). Diffusion of robotics into clinical practice in the United States:
process, patient safety, learning curves, and the public health. World Journal of Urology, 31(3), 455-461.
• Murphy, J., Hofacker, C., & Gretzel, U. (2017). Dawning of the Age of Robots in Hospitality and Tourism:
Challenges for Teaching and Research. European Journal of Tourism Research, 15, 104-111.
• Neapolitan, R. E., & Jiang, X. (2013). Contemporary artificial intelligence. Boca Raton, FL: CRC Press.
• Pires, J. N. (2007). Industrial Robots Programming: Building Applications for the Factories of the Future.
New York: Springer US.
• Remus, D. & Levy, F. (2015) Can robots be lawyers? Computers, lawyers, and the practice of law. SSRN
Working paper: http://ssrn.com/abstract=2701092
• Santens, S. (2017). Unconditional basic income as a solution to technological unemployment. In LaGrandeur,
K. and Hughes, J. J. (Eds.) (2017). Surviving the Machine Age. Intelligent Technology and the
Transformation of Human Work. London: Palgrave Macmillan (pp. 107-116).
• Schommer, E., Patel, V. R., Mouraviev, V., Thomas, C., & Thiel, D. D. (2017). Diffusion of robotic technology
into urologic practice has led to improved resident physician robotic skills. Journal of Surgical
Education, 74(1), 55-60.
• Schwab, K. (2016). The Fourth Industrial Revolution. Cologny/Geneva: World Economic Forum.
49
50. stanislavivanov.com
Manuscript references (5/5)
• Sheahen, A. (2012). Basic income guarantee: your right to economic security. New York: Palgrave
Macmillan.
• Sparrow, R. (2007). Killer robots. Journal of Applied Philosophy, 24(1), 62-77.
• Stevens, Y. A., & Marchant, G. E. (2017). Policy solutions to technological unemployment. In LaGrandeur, K.
and Hughes, J. J. (Eds.) (2017). Surviving the Machine Age. Intelligent Technology and the Transformation
of Human Work. London: Palgrave Macmillan (pp. 117-130).
• Swan, M. (2017). Is technological unemployment real? An assessment and a plea for abundance economics.
In LaGrandeur, K. and Hughes, J. J. (Eds.) (2017). Surviving the Machine Age. Intelligent Technology and
the Transformation of Human Work. London: Palgrave Macmillan (pp. 19-33).
• Talwar, R. (Ed.) (2015). The future of business. Fast Future Publishing.
• Timms, M.J. (2016). Letting Artificial Intelligence in Education out of the Box: Educational Cobots and Smart
Classrooms. International Journal of Artificial Intelligence in Education, 26(2), 701-712.
• Tussyadiah, I. P., Zach, F. K. & Wang, J. (2017). Attitudes Toward Autonomous on Demand Mobility System:
The Case of Self-Driving Taxi. In Schegg, R. & Strangl, B. (Eds.) Information and Communication
Technologies in Tourism 2017. Proceedings of the International Conference in Rome, Italy, January 24–26,
2017, pp. 755-766.
• Warwick, K. (2012). Artificial intelligence: The basics. Oxon: Routledge.
• Xu, A., Liu, Z., Guo, Y., Sinha, V., & Akkiraju, R. (2017, May). A new chatbot for customer service on social
media. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (pp. 3506-
3510). ACM.
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