Skip to main content
SpringerLink
Log in

Leading Future Lives: Producing Meaningful Intelligence

  • Chapter
  • First Online:
Identity, Institutions and Governance in an AI World

  • 746 Accesses

Abstract

This chapter investigates the novel ways humans and machines could lead to meaningful existences in a world of integrated intelligence. The rise of AI often focuses on competing visions of a technological utopia or dystopia, yet equally profound questions are commonly left unasked. How can humans find personal meaning and happiness in an increasingly automated and non-human based society? Conversely, will these progressively conscious machines face their own versions of existential crises? It is crucial, therefore, to find ways that human and artificial intelligence can combine to produce a deeper form of meaningful intelligence, rather than one form appropriating the other.

This chapter begins by interrogating how alienating this technological shift may be for humans and perhaps machines alike. Taking this idea further, it explores the potential need for what some have called “robot psychiatry” in the future—therapy and coping mechanisms to allow us to form emotionally healthy bonds with the robots that become a key part of r everyday life. It then turns its attention to how ai and humans can actually work together both in the present and future for enhancing their personal growth, wellbeing and perspectives. In turn, if machines are imputing our values into their programming, how can we help to provide them with successful coping mechanisms for issues of depression as well as being able to find meaning in their own existence as a burgeoning consciousness. These efforts may become even more acutely important as new technologies enable humans to live and machines to operate for longer. This makes it even more critical to discover how human and non-human relations can assist each other in leading not just longer but also fuller more compassionate and caring lives.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 89.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Change history

  • 05 March 2020

    The original version of the book was inadvertently published with a reference being attributed for the book, My Fair Ladies.

References

  • Abdul-Gader, A. H., & Kozar, K. A. (1995). The Impact of Computer Alienation on Information Technology Investment Decisions: An Exploratory Cross-national Analysis. MIS Quarterly, 19, 535–559.

    Google Scholar 

  • Adamo, S. A. (2016). Do Insects Feel Pain? A Question at the Intersection of Animal Behaviour, Philosophy and Robotics. Animal Behaviour, 118, 75–79.

    Google Scholar 

  • Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction Machines: The Simple Economics of Artificial Intelligence. Harvard Business Press.

    Google Scholar 

  • Aiken, M., & Hage, J. (1966). Organizational Alienation: A Comparative Analysis. American Sociological Review, 497–507.

    Google Scholar 

  • Alvesson, M., & Willmott, H. (2002). Identity Regulation as Organizational Control: Producing the Appropriate Individual. Journal of Management Studies, 39(5), 619–644.

    Google Scholar 

  • Anlen, S. (2017). 5 Reasons Why I Believe AI Can Have Mental Illness. Becoming Human.

    Google Scholar 

  • Antonova, E., & Nehaniv, C. L. (2018, July). Towards the Mind of a Humanoid: Does a Cognitive Robot Need a Self?-Lessons from Neuroscience. In Artificial Life Conference Proceedings (pp. 412–419). Cambridge, MA: MIT Press.

    Google Scholar 

  • Armand, L. (2018). The Posthuman Abstract: AI, Dronology & “Becoming Alien”. AI & Society, 1–6.

    Google Scholar 

  • Ashrafian, H. (2015). Intelligent Robots Must Uphold Human Rights. Nature News, 519(7544), 391.

    Google Scholar 

  • Atanasoski, N., & Vora, K. (2019). Surrogate Humanity: Race, Robots, and the Politics of Technological Futures. Duke University Press.

    Google Scholar 

  • Aupers, S. S., & Houtman, D. D. (2004). ‘Reality Sucks’: On Alienation and Cybergnosis. Concilium: International Journal of Theology Special issue.

    Google Scholar 

  • Bachi, K., & Parish-Plass, N. (2017). Animal-assisted Psychotherapy: A Unique Relational Therapy for Children and Adolescents. Clinical Child Psychology and Psychiatry, 22(1), 3–8.

    Google Scholar 

  • Bartneck, C., & McMullen, M. (2018, March). Interacting with Anatomically Complete Robots: A Discussion About Human-Robot Relationships. In Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (pp. 1–4). ACM.

    Google Scholar 

  • Bauer, D. (2019). Alienation, Freedom and the Synthetic How. Angelaki, 24(1), 106–117.

    Google Scholar 

  • Baumgaertner, H., Mullan, S., & Main, D. C. J. (2016). Assessment of Unnecessary Suffering in Animals by Veterinary Experts. Veterinary Record, vetrec-2015.

    Google Scholar 

  • Béchade, L., Delaborde, A., Duplessis, G. D., & Devillers, L. (2016, May). Ethical Considerations and Feedback from Social Human-Robot Interaction with Elderly People. In ETHI-CA2 2016: ETHics In Corpus Collection, Annotation & Application Workshop Programme (p. 42).

    Google Scholar 

  • Benvenuti, A. (2016). Evolutionary Continuity and Personhood: Legal and Therapeutic Implications of Animal Consciousness and Human Unconsciousness. International Journal of Law and Psychiatry, 48, 43–49.

    Google Scholar 

  • Block, A. E., & Kuchenbecker, K. J. (2019). Softness, Warmth, and Responsiveness Improve Robot Hugs. International Journal of Social Robotics, 11(1), 49–64.

    Google Scholar 

  • Bloom, P. (2014). We Are All Monsters Now! A Marxist Critique of Liberal Organization and the Need for a Revolutionary Monstrous Humanism. Equality, Diversity and Inclusion: An International Journal, 33(7), 662–680.

    Google Scholar 

  • Bloom, P. (2019). Monitored: Business and Surveillance in a Time of Big Data. Pluto Press.

    Google Scholar 

  • Boden, M., Bryson, J., Caldwell, D., Dautenhahn, K., Edwards, L., Kember, S., et al. (2017). Principles of Robotics: Regulating Robots in the Real World. Connection Science, 29(2), 124–129.

    Google Scholar 

  • Bonani, M., Oliveira, R., Correia, F., Rodrigues, A., Guerreiro, T., & Paiva, A. (2018, October). What My Eyes Can’t See, A Robot Can Show Me: Exploring the Collaboration Between Blind People and Robots. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (pp. 15–27). ACM.

    Google Scholar 

  • Bonnet, F., Mills, R., Szopek, M., Schönwetter-Fuchs, S., Halloy, J., Bogdan, S., … & Schmickl, T. (2019). Robots Mediating Interactions Between Animals for Interspecies Collective Behaviors. Science Robotics, 4(28), eaau7897.

    Google Scholar 

  • Borenstein, J., & Arkin, R. (2019). Robots, Ethics, and Intimacy: The Need for Scientific Research. In On the Cognitive, Ethical, and Scientific Dimensions of Artificial Intelligence (pp. 299–309). Cham: Springer.

    Google Scholar 

  • Bostrom, N. (2005). In Defense of Posthuman Dignity. Bioethics, 19(3), 202–214.

    Google Scholar 

  • Boyd, D., & Crawford, K. (2012). Critical Questions for Big Data: Provocations for a Cultural, Technological, and Scholarly Phenomenon. Information, Communication & Society, 15(5), 662–679.

    Google Scholar 

  • Carolan, M. (2019). Automated Agrifood Futures: Robotics, Labor and the Distributive Politics of Digital Agriculture. The Journal of Peasant Studies, 1–24.

    Google Scholar 

  • Carpenter, C. (2016). Rethinking the Political/-Science-/Fiction Nexus: Global Policy Making and the Campaign to Stop Killer Robots. Perspectives on Politics, 14(1), 53–69.

    Google Scholar 

  • Carrier, J. G. (1992). Emerging Alienation in Production: A Maussian History. Man, 27, 539–558.

    Google Scholar 

  • Carrozza, M. C. (2019). Our Friend the Robot. In The Robot and Us (pp. 41–52). Cham: Springer.

    Google Scholar 

  • Caudwell, C., & Lacey, C. (2019). What Do Home Robots Want? The Ambivalent Power of Cuteness in Robotic Relationships. Convergence, 1354856519837792.

    Google Scholar 

  • Cave, S., & Dihal, K. (2019). Hopes and Fears for Intelligent Machines in Fiction and Reality. Nature Machine Intelligence, 1(2), 74.

    Google Scholar 

  • Cave, S., Coughlan, K., & Dihal, K. (2019, January). Scary Robots’: Examining Public Responses to AI. In Proc. AIES. Retrieved from http://www.aies-conference.com/wp-content/papers/main/AIES-19_paper_200.pdf.

  • Cederström, C., & Spicer, A. (2015). The Wellness Syndrome. John Wiley & Sons.

    Google Scholar 

  • Coeckelbergh, M., Loh, J., & Funk, M. (Eds.). (2018). Envisioning Robots in Society–Power, Politics, and Public Space: Proceedings of Robophilosophy 2018/TRANSOR 2018 (Vol. 311). IOS Press.

    Google Scholar 

  • Comor, E. (2010). Digital Prosumption and Alienation. Ephemera, 10(3), 439.

    Google Scholar 

  • Cranny-Francis, A. (2016). Robots, Androids, Aliens, and Others: The Erotics and Politics of Science Fiction Film. In S. Redmond & L. Marvell (Eds.), Endangering Science Fiction Film. New York: Routledge.

    Google Scholar 

  • Dean, K. (2016). Computers and the Alienation of Thinking: From Deep Blue to the Googlemobile. In Changing our Environment, Changing Ourselves (pp. 215–256). London: Palgrave Macmillan.

    Google Scholar 

  • Devillers, L. (2018). Emotional and Social Robots for Care, Ethical Challenges and Issues. Soins; la revue de reference infirmiere, 63(830), 57–60.

    Google Scholar 

  • Devlin, K. (2015). In Defence of Sex Machines: Why Trying to Ban Sex Robots Is Wrong. The Conversation.

    Google Scholar 

  • Eguchi, A. (2019). WRS Junior Category—Young Roboticists’ Approaches for Realizing “Robotics for Happiness”. 日本ロボット学会誌, 37(3), 235–240.

    Google Scholar 

  • Elder, A. (2016). False Friends and False Coinage: A Tool for Navigating the Ethics of Sociable Robots. ACM SIGCAS Computers and Society, 45(3), 248–254.

    Google Scholar 

  • Evans, N. J., & Moore, A. R. (2019). Is There a Turtle in this Text? Animals in the Internet of Robots and Things. Animal Studies Journal, 8(1), 21–41.

    Google Scholar 

  • Fine, A. H., Tedeschi, P., & Elvove, E. (2015). Forward Thinking: The Evolving Field of Human–Animal Interactions. In Handbook on Animal-Assisted Therapy (pp. 21–35). Academic.

    Google Scholar 

  • Fleming, P. (2019). Robots and Organization Studies: Why Robots Might Not Want to Steal Your Job. Organization Studies, 40(1), 23–38.

    Google Scholar 

  • Froese, T., & Ziemke, T. (2009). Enactive Artificial Intelligence: Investigating the Systemic Organization of Life and Mind. Artificial Intelligence, 173(3–4), 466–500.

    Google Scholar 

  • Gardell, B. (1976). Department of Psychology University of Stockholm Technology, Alienation and Mental Health. Summary of a Social Psychological Study of Technology and the Worker. Acta Sociologica, 19(1), 83–93.

    Google Scholar 

  • Gieseking, J. J. (2017). Messing with the Attractiveness Algorithm: A Response to Queering Code/Space. Gender, Place & Culture, 24(11), 1659–1665.

    Google Scholar 

  • Grant, A. S. (2017). What Exactly Are We Trying to Accomplish? The Role of Desire in Transhumanist Visions. In Religion and Human Enhancement (pp. 121–137). Cham: Palgrave Macmillan.

    Google Scholar 

  • Grant, A. S. (2019). Will Human Potential Carry Us Beyond Human? A Humanistic Inquiry into Transhumanism. Journal of Humanistic Psychology, 0022167819832385.

    Google Scholar 

  • Gray, C. H. (2018). Post-sapiens: Notes on the Politics of Future Human Terminology. Journal of Posthuman Studies, 1(2), 136–150.

    Google Scholar 

  • Guo, T. (2015). Alan Turing: Artificial Intelligence as Human Self-knowledge. Anthropology Today, 31(6), 3–7.

    Google Scholar 

  • Gurumurthy, A., & Bharthur, D. (2018). Democracy and the Algorithmic Turn. SUR-International Journal on Human Rights, 27, 39.

    Google Scholar 

  • Gutiérrez, R. T., & Ezponda, J. E. (2019). Technodata and the Need of a Responsible Industry 4.0. In Handbook of Research on Industrial Advancement in Scientific Knowledge (pp. 1–19). IGI Global.

    Google Scholar 

  • Hakli, R., & Mäkelä, P. (2019). Moral Responsibility of Robots and Hybrid Agents. The Monist, 102(2), 259–275.

    Google Scholar 

  • Hampton, G. J. (2015). Imagining Slaves and Robots in Literature, Film, and Popular Culture: Reinventing Yesterday’s Slave with Tomorrow’s Robot. Lexington Books.

    Google Scholar 

  • Harnad, S. (2016). CCTV, Web-streaming and Crowd-sourcing to Sensitize Public to Animal Suffering. Animal Justice UK, 2.

    Google Scholar 

  • Hasse, C., & Søndergaard, D. M. (2019). Designing Robots, Designing Humans.

    Google Scholar 

  • Hawkins, B. W., & Burns, R. (2018, May). Queering (meta) Data Ontologies. In GenderIT (pp. 233–234).

    Google Scholar 

  • Horowitz, M. C. (2016). Public Opinion and the Politics of the Killer Robots Debate. Research & Politics, 3(1), 2053168015627183.

    Google Scholar 

  • Horta, O. (2017). Animal Suffering in Nature: The Case for Intervention. Environmental Ethics, 39(3), 261–279.

    Google Scholar 

  • Hutson, M. (2018, April 9). Could Artificial Intelligence Get Depressed and Have Hallucinations? Science.

    Google Scholar 

  • Jadhav, S., Jain, S., Kannuri, N., Bayetti, C., & Barua, M. (2015). Ecologies of Suffering. Economic & Political Weekly, 50(20), 13.

    Google Scholar 

  • Johnson, C. (2019). Technological Disruption and Equality: Future Challenges for Social Democracy. In Social Democracy and the Crisis of Equality (pp. 197–214). Singapore: Springer.

    Google Scholar 

  • Kanda, T., & Ishiguro, H. (2016). Human-Robot Interaction in Social Robotics. CRC Press.

    Google Scholar 

  • Keane, J. (2018). 16 The Unfinished Robots Revolution. Digitizing Democracy.

    Google Scholar 

  • Kiggins, R. (2018). Robots and Political Economy. In The Political Economy of Robots (pp. 1–16). Cham: Palgrave Macmillan.

    Google Scholar 

  • Kravchenko, A., & Kyzymenko, I. (2019). The Forth Industrial Revolution: New Paradigm of Society Development or Posthumanist Manifesto. Philosophy and Cosmology-Filosofiya I Kosmologiya, 22, 120–128.

    Google Scholar 

  • Krishnan, A. (2016). Killer Robots: Legality and Ethicality of Autonomous Weapons. Routledge.

    Google Scholar 

  • Laplante, N., Laplante, P. A., Voas, J., & Cleland-Huang, J. (2016). Caring: An Undiscovered “Super-ility” of Smart Healthcare. IEEE Software, 33(6), 16–19.

    Google Scholar 

  • LaTorra, M. (2015). What Is Buddhist Transhumanism? Theology and Science, 13(2), 219–229.

    Google Scholar 

  • Lee, J. (2017). Sex Robots: The Future of Desire. Springer.

    Google Scholar 

  • Lehman, J. (2018). From Ships to Robots: The Social Relations of Sensing the World Ocean. Social Studies of Science, 48(1), 57–79.

    Google Scholar 

  • Leveringhaus, A. (2018). Developing Robots: The Need for an Ethical Framework. European View, 17(1), 37–43.

    Google Scholar 

  • Levin, S. B. (2018). Creating a Higher Breed: Transhumanism and the Prophecy of Anglo-American Eugenics. In Reproductive Ethics II (pp. 37–58). Cham: Springer.

    Google Scholar 

  • Levy, F. (2018). Computers and Populism: Artificial Intelligence, Jobs, and Politics in the Near Term. Oxford Review of Economic Policy, 34(3), 393–417.

    Google Scholar 

  • Lorde, A. (1984). The Master’s Tools Will Never Dismantle the Master’s House. In A. Lorde (Ed.), Sister Outsider: Essays and Speeches (pp. 110–114). Berkeley, CA: Crossing Press. 2007, Print.

    Google Scholar 

  • Lu, H., Li, Y., Chen, M., Kim, H., & Serikawa, S. (2018). Brain Intelligence: Go Beyond Artificial Intelligence. Mobile Networks and Applications, 23(2), 368–375.

    Google Scholar 

  • Luka, M. E., & Millette, M. (2018). (Re) framing Big Data: Activating Situated Knowledges and a Feminist Ethics of Care in Social Media Research. Social Media+ Society, 4(2), 2056305118768297.

    Google Scholar 

  • Mainen, Z. (2018, April 16). What Depressed Robots Can Teach Us About Mental Health. The Guardian.

    Google Scholar 

  • Mainen, Zachary (2019, April 16). What Depressed Robots Can Tell Us About Our Mental Health. The Guardian.

    Google Scholar 

  • Mannes, A. (2016). Anticipating Autonomy: Institutions & Politics of Robot Governance.

    Google Scholar 

  • Marauhn, T. (2018). Meaningful Human Control–And the Politics of International Law. In Dehumanization of Warfare (pp. 207–218). Cham: Springer.

    Google Scholar 

  • Maréchal, N. (2016). Automation, Algorithms, and Politics| When Bots Tweet: Toward a Normative Framework for Bots on Social Networking Sites (Feature). International Journal of Communication, 10, 10.

    Google Scholar 

  • Martin, A., Myers, N., & Viseu, A. (2015). The Politics of Care in Technoscience. Social Studies of Science, 45(5), 625–641.

    Google Scholar 

  • Marx, K. (1964). Economic and Philosophic Manuscripts of 1844. New York: International Publishers.

    Google Scholar 

  • Mazali, T. (2018). From Industry 4.0 to Society 4.0, There and Back. AI & Society, 33(3), 405–411.

    Google Scholar 

  • McClure, P. K. (2018). “You’re Fired,” Says the Robot: The Rise of Automation in the Workplace, Technophobes, and Fears of Unemployment. Social Science Computer Review, 36(2), 139–156.

    Google Scholar 

  • McCoy, A. (2012). Imperial Illusions: Information Infrastructure and the Future of U.S. Global Power. In A. W. McCoy, J. M. Fradera, & S. Jacobson (Eds.), Endless Empire: Spain’s Retreat, Europe’s Eclipse (pp. 3–39). Madison, WI: University of Wisconsin Press.

    Google Scholar 

  • Miller, E., & Polson, D. (2019). Apps, Avatars, and Robots: The Future of Mental Healthcare. Issues in Mental Health Nursing, 40(3), 208–214.

    Google Scholar 

  • Miyachi, T., Iga, S., & Furuhata, T. (2017). Human Robot Communication with Facilitators for Care Robot Innovation. Procedia Computer Science, 112, 1254–1262.

    Google Scholar 

  • Morison, E. E., & Mayer, A. (1974). From Know-How to Nowhere: The Development of American Technology. New York I, 974.

    Google Scholar 

  • Moulaï, K. (2017). Working in Close Proximity with Robots: Towards a New Type of Human Identity?. In CMS International Conference.

    Google Scholar 

  • Murray-Hundley, D. (2017). Will AI and Robots Suffer with Mental Health? Techworld.

    Google Scholar 

  • Nasarre-Aznar, S. (2018). Ownership at Stake (Once Again): Housing, Digital Contents, Animals and Robots. Journal of Property, Planning and Environmental Law, 10(1), 69–86.

    Google Scholar 

  • Naveh, G. S. (2015). Fantasies of Identity, Love, and Self-Knowledge in the Age of the Web and Virtual Reality. Semiotics, 185–194. https://doi.org/10.5840/cpsem201519.

    Google Scholar 

  • Nelson, R. (2017). Are Workers Becoming Robots to Keep Their Jobs? EE-Evaluation Engineering, 56(11), 2–3.

    Google Scholar 

  • Nemitz, P. (2018). Constitutional Democracy and Technology in the Age of Artificial Intelligence. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2133), 20180089.

    Google Scholar 

  • Nygren, K. G., & Gidlund, K. L. (2016). The Pastoral Power of Technology. Rethinking Alienation in Digital Culture. In C. Fuchs & V. Mosco (Eds.), Marx in the Age of Digital Capitalism (pp. 396–412). London: Brill.

    Google Scholar 

  • Ortiz, J., Chih, W. H., & Tsai, F. S. (2018). Information Privacy, Consumer Alienation, and Lurking Behavior in Social Networking Sites. Computers in Human Behavior, 80, 143–157.

    Google Scholar 

  • Packard, N. (2018). Habitual Interaction Estranged. International Journal of Social Sciences, 7(1), 69–94.

    Google Scholar 

  • Pandey, A. K. (2016, September). Socially Intelligent Robots, the Next Generation of Consumer Robots and the Challenges. In International Conference on ICT Innovations (pp. 41–46). Cham: Springer.

    Google Scholar 

  • Parisi, L. (2019). The Alien Subject of AI. Subjectivity, 12(1), 27–48.

    Google Scholar 

  • Pasquinelli, M. (2015). Alleys of Your Mind: Augmented Intelligence and Its Traumas. (p. 212). Leuphana: Meson Press.

    Google Scholar 

  • Paus, E. (Ed.). (2018). Confronting Dystopia: The New Technological Revolution and the Future of Work. Cornell University Press.

    Google Scholar 

  • Pearson, J. R., & Beran, T. N. (2017). The Future Is Now: Using Humanoid Robots in Child Life Practice. In Handbook of Medical Play Therapy and Child Life (pp. 351–372). Routledge.

    Google Scholar 

  • Pedersen, I. (2016). Home Is Where the AI Heart Is [Commentary]. IEEE Technology and Society Magazine, 35(4), 50–51.

    Google Scholar 

  • Pessoa, L. (2017). Do Intelligent Robots Need Emotion? Trends in Cognitive Sciences, 21(11), 817–819.

    Google Scholar 

  • Peter, J., & Kühne, R. (2018). The New Frontier in Communication Research: Why We Should Study Social Robots. Media and Communication, 6(3), 73–76.

    Google Scholar 

  • Peters, M. A. (2019). Beyond Technological Unemployment: The Future of Work. Educational Philosophy and Theory. https://doi.org/10.1080/00131857.2019.1608625.

    Google Scholar 

  • Petrov, V. (2017). A Cyber-Socialism at Home and Abroad: Bulgarian Modernisation, Computers, and the World, 1967–1989. Doctoral dissertation, Columbia University.

    Google Scholar 

  • Pinkstone, J. (2018, April 12). Robots of the Future May Be Given the Machine Equivalent of a Serotonin Pill to ‘Stop Them Getting Depressed’, Argues Neuroscientist. Daily Mail.

    Google Scholar 

  • Pitts, F. H., & Dinerstein, A. C. (2017). Corbynism’s Conveyor Belt of Ideas: Postcapitalism and the Politics of Social Reproduction. Capital & Class, 41(3), 423–434.

    Google Scholar 

  • Pochon, Y., Dornberger, R., Zhong, V. J., & Korkut, S. (2018, November). Investigating the Democracy Behavior of Swarm Robots in the Case of a Best-of-n Selection. In 2018 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 743–748). IEEE.

    Google Scholar 

  • Preuß, D., & Legal, F. (2017). Living with the Animals: Animal or Robotic Companions for the Elderly in Smart Homes? Journal of Medical Ethics, 43(6), 407–410.

    Google Scholar 

  • Puaschunder, J. M. (2018). On Artificial Intelligence’s Razor’s Edge: On the Future of Democracy and Society in the Artificial Age. SSRN 3297348.

    Google Scholar 

  • Rantanen, T., Lehto, P., Vuorinen, P., & Coco, K. (2018). Attitudes Towards Care Robots Among Finnish Home Care Personnel–A Comparison of Two Approaches. Scandinavian Journal of Caring Sciences, 32(2), 772–782.

    Google Scholar 

  • Reese, H. (2015). Is the World Ready for a Robot Psychiatrist? A Conversation with Joanne Pransky. TechRepublic.

    Google Scholar 

  • Riva, G. (2018). MARIO: Robotic Solutions to Give Dementia Patients a Better Quality of Life. Cyberpsychology, Behavior, and Social Networking, 21(2), 145–145.

    Google Scholar 

  • Rosenberg, L. B. (2015a, July). Human Swarms, a Real-time Method for Collective Intelligence. In Artificial Life Conference Proceedings 13 (pp. 658–659). Cambridge, MA: MIT Press.

    Google Scholar 

  • Rosenberg, L. (2015b). Human Swarming and the Future of Collective Intelligence. Singularity.

    Google Scholar 

  • Rosenberg, L. (2016, July). Artificial Swarm Intelligence vs Human Experts. In 2016 International Joint Conference on Neural Networks (IJCNN) (pp. 2547–2551). IEEE.

    Google Scholar 

  • Rughiniş, C., Zamfirescu, R., & Neagoe, A. (2018). Visions of Robots, Networks and Artificial Intelligence: Europeans’ Attitudes Towards Digitisation and Automation in Daily Life. eLearning & Software for Education, 2, 114–119.

    Google Scholar 

  • Russell, S. (2016). Should We Fear Supersmart Robots? Scientific American, 314(6), 58–59.

    Google Scholar 

  • Salgues, B. (2018). Society 5.0: Industry of the Future, Technologies, Methods and Tools. John Wiley & Sons.

    Google Scholar 

  • Santos, M., & Egerstedt, M. (2019). From Motions to Emotions: Can the Fundamental Emotions be Expressed in a Robot Swarm? arXiv preprint arXiv:1903.12118.

    Google Scholar 

  • Schacht, R. (2015). Alienation. Psychology Press.

    Google Scholar 

  • Schapals, A. K., Bruns, A., & McNair, B. (Eds.). (2018). Digitizing Democracy. Routledge.

    Google Scholar 

  • Schneider, P. (2018). Managerial Challenges of Industry 4.0: An Empirically Backed Research Agenda for a Nascent Field. Review of Managerial Science, 12(3), 803–848.

    Google Scholar 

  • Sciutti, A., Mara, M., Tagliasco, V., & Sandini, G. (2018). Humanizing Human-Robot Interaction: On the Importance of Mutual Understanding. IEEE Technology and Society Magazine, 37(1), 22–29.

    Google Scholar 

  • Seeman, M. (1959). On the Meaning of Alienation. American Sociological Review, 24, 783–791.

    Google Scholar 

  • Sequeira, J. S. (2019). Humans and Robots: A New Social Order in Perspective? In Robotics and Well-Being (pp. 17–24). Cham: Springer.

    Google Scholar 

  • Shaw, I. G. (2017). Robot Wars: US Empire and Geopolitics in the Robotic Age. Security Dialogue, 48(5), 451–470.

    Google Scholar 

  • Shaw, D. B. (2018). Robots as Art and Automation. Science as Culture, 27(3), 283–295.

    Google Scholar 

  • Shehada, M., & Khafaje, N. (2015). The Manifestation of Organizational Alienation of Employees and Its Impact on Work Conditions. International Journal of Business and Social Science, 6(2), 82–86.

    Google Scholar 

  • Shepard, J. M. (1973). Technology, Division of Labor, and Alienation. Pacific Sociological Review, 16(1), 61–88.

    Google Scholar 

  • Shmoish, M., German, A., Devir, N., Hecht, A., Butler, G., Niklasson, A., & Albertsson-Wikland, K. (2018, August). Prediction of Adult Height by Artificial Intelligence (AI) through Machine Learning (ML) from Early Height Data. In 57th Annual ESPE (Vol. 89). European Society for Paediatric Endocrinology.

    Google Scholar 

  • Siegel, E. (2016). Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die. John Wiley & Sons Incorporated.

    Google Scholar 

  • Singer, P. (2018). Animal Liberation.

    Google Scholar 

  • Skågeby, J. (2018). “Well-Behaved Robots Rarely Make History”: Coactive Technologies and Partner Relations. Design and Culture, 10(2), 187–207.

    Google Scholar 

  • Spencer, D. (2017). Work in and Beyond the Second Machine Age: The Politics of Production and Digital Technologies. Work, Employment and Society, 31(1), 142–152.

    Google Scholar 

  • Stahl, D. (2017). Building Better Humans? Refocusing the Debate on Transhumanism. NanoEthics, 11(2), 209–212.

    Google Scholar 

  • Strait, M. K., Aguillon, C., Contreras, V., & Garcia, N. (2017, August). The Public’s Perception of Humanlike Robots: Online Social Commentary Reflects an Appearance-based Uncanny Valley, a General Fear of a “Technology Takeover”, and the Unabashed Sexualization of Female-gendered Robots. In 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) (pp. 1418–1423). IEEE.

    Google Scholar 

  • Sutherland, D. (2018). Solidarity Forever-robots, Workers and Profitability. Australian Socialist, 24(1), 12.

    Google Scholar 

  • Swan, M. (2013). The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery. Big Data, 1(2), 85–99.

    Google Scholar 

  • Świątek, L. (2018, July). From Industry 4.0 to Nature 4.0–Sustainable Infrastructure Evolution by Design. In International Conference on Applied Human Factors and Ergonomics (pp. 438–447). Cham: Springer.

    Google Scholar 

  • Thanem, T. (2011). The Monstrous Organization. Edward Elgar Publishing.

    Google Scholar 

  • Theis, S., Lefore, N., Meinzen-Dick, R., & Bryan, E. (2018). What Happens After Technology Adoption? Gendered Aspects of Small-scale Irrigation Technologies in Ethiopia, Ghana, and Tanzania. Agriculture and Human Values, 35, 671–684.

    Google Scholar 

  • Tóth, C. (2018). When Robots Take Our Jobs–Who Will We Vote For? Arguments for Liberals. In E. Liss (Ed.), Citizen-Centred Digitalisation (p. 88). Brussels: European Liberal Forum asbl.

    Google Scholar 

  • Truitt, E. R. (2015). Medieval Robots: Mechanism, Magic, Nature, and Art. University of Pennsylvania Press.

    Google Scholar 

  • Tucker, K. H., Jr. (2002). Classical Social Theory: A Contemporary Approach. Blackwell.

    Google Scholar 

  • Tuisku, O., Pekkarinen, S., Hennala, L., & Melkas, H. (2019). “Robots Do Not Replace a Nurse with a Beating Heart” The Publicity Around a Robotic Innovation in Elderly Care. Information Technology & People, 32(1), 47–67.

    Google Scholar 

  • Urquiza-Haas, E. G., & Kotrschal, K. (2015). The Mind Behind Anthropomorphic Thinking: Attribution of Mental States to Other Species. Animal Behaviour, 109, 167–176.

    Google Scholar 

  • Vallas, S. P. (1988). New Technology, Job Content, and Worker Alienation: A Test of Two Rival Perspectives. Work and Occupations, 15(2), 148–178.

    Google Scholar 

  • Van Dijck, J. (2014). Datafication, Dataism and Dataveillance: Big Data Between Scientific Paradigm and Ideology. Surveillance & Society, 12(2), 197.

    Google Scholar 

  • Višňovský, E. (2017). On the Value of Human Life. Ethics & Bioethics, 7(1–2), 85–95.

    Google Scholar 

  • Vogel, S. (1988). Marx and Alienation from Nature. Social Theory and Practice, 14(3), 367–387.

    Google Scholar 

  • Walsh, S. N., & Sculos, B. W. (2018). Repressive Robots and the Radical Possibilities of Emancipated Automation. In The Political Economy of Robots (pp. 101–125). Cham: Palgrave Macmillan.

    Google Scholar 

  • Watson, T. J. (2008). Managing Identity: Identity Work, Personal Predicaments and Structural Circumstances. Organization, 15(1), 121–143.

    Google Scholar 

  • Webster, J. (2016). Animal Welfare: Freedoms, Dominions and “A Life Worth Living”. Animals, 6(6), 35.

    Google Scholar 

  • Wendling, A. (2009). Karl Marx on Technology and Alienation. Springer.

    Google Scholar 

  • Whitby, B., & Oliver, K. (2000). How to Avoid a Robot Takeover: Political and Ethical Choices in the Design and Introduction of Intelligent Artifacts. AISB Quarterly, 42–46.

    Google Scholar 

  • Wirtz, J., Patterson, P. G., Kunz, W. H., Gruber, T., Lu, V. N., Paluch, S., & Martins, A. (2018). Brave New World: Service Robots in the Frontline. Journal of Service Management, 29(5), 907–931.

    Google Scholar 

  • Wogu, I. A. P., Olu-Owolabi, F. E., Assibong, P. A., Agoha, B. C., Sholarin, M., Elegbeleye, A., … & Apeh, H. A. (2017, October). Artificial Intelligence, Alienation and Ontological Problems of Other Minds: A Critical Investigation into the Future of Man and Machines. In 2017 International Conference on Computing Networking and Informatics (ICCNI) (pp. 1–10). IEEE.

    Google Scholar 

  • Wosk, J. (2015). My Fair Ladies: Female Robots, Androids, and Other Artificial Eves. Rutgers University Press.

    Google Scholar 

  • You, S., & Robert, L. (2017, December). Facilitating Employee Intention to Work with Robots. AIS.

    Google Scholar 

  • Yuill, C. (2005). Marx: Capitalism, Alienation and Health. Social Theory & Health, 3(2), 126–143.

    Google Scholar 

  • Zarkadakis, G. (2015). In Our Own Image: Will Artificial Intelligence Save or Destroy Us? Random House.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Essex, Colchester, UK

    Peter Bloom

Authors
  1. Peter Bloom
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Peter Bloom .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Author(s)

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Bloom, P. (2020). Leading Future Lives: Producing Meaningful Intelligence. In: Identity, Institutions and Governance in an AI World. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-36181-5_4

Download citation

Publish with us

Policies and ethics

Search

Navigation