La cura della persona e dell’ambiente di lavoro come opportunità di crescita per le organizzazioni

La convivenza tra Intelligenza Artificiale e lavoro

, , ,

La bibliografia completa

Beniger J. R. (1986), The Control Revolution, Harvard University Press, Cambridge, MA, trad. it. (1995) Le origini della società dell’informazione: la rivoluzione del controllo, UTET, Torino.

Borkovich D. J., Middle G. A. (2018), Information Overload Revisited: Infinite Organizational Threats, Issues in Information Systems, 19(4), 150-161.

Bostrom N., Savulescu J. (2009), Human enhancement ethics: the state of the debate, Bostrom N., Savulescu J. (a cura di), Human Enhancement, 375-416.

Boyd R. (2008), Do People Only Use 10 Percent of Their Brains? Scientific American, link verificato a maggio 2019.

Cabitza F. (2017), The Limits of Mind: Extended by Computers, or just distanced from sight?, commentary to Lost in Thought — The Limits of the Human Mind and the Future of Medicine, by Ziad Obermeyer, NEJM, link verificato a giugno 2019.

Cabitza F., Rasoini R., Gensini G. F. (2017), Unintended consequences of machine learning in medicine, Jama, 318(6), 517-518.

Cabitza F., Varanini F. (2018), Going beyond the system in systems thinking: the cyborg, Digital Technology and Organizational Change, Springer, Cham, 69-79.

Cialdini R. B. (1993), Influence: Science and practice (3rd ed.), Harper Collins, New York.

Deloitte (2017), The future of AI isn’t HAL—it’s intelligence augmentation, Quartz, link verificato a maggio 2019.

Dekker S. W. (2015), The danger of losing situation awareness, Cognition, Technology & Work, 17(2), 159-161.

Engelbart D. C. (1962), Augmenting human intellect: A conceptual framework, Stanford Research Institute, Menlo Park, CA.

Ford K. M., Hayes P. J., Glymour C., Allen J. (2015), Cognitive orthoses: toward human-centered AI, AI Magazine, 36(4), 5-8.

Frey C. B., Osborne M. A. (2017), The future of employment: how susceptible are jobs to computerisation?, Technological forecasting and social change, 114, 254-280.

Garcia M. (2016), Racist in the machine: The disturbing implications of algorithmic bias, World Policy Journal, 33(4), 111-117.

Gardner H. E. (2000), Intelligence reframed: Multiple intelligences for the 21st century, Hachette UK, London

Goddard K., Roudsari A., Wyatt J. C. (2011), Automation bias: a systematic review of frequency, effect mediators, and mitigators, Journal of the American Medical Informatics Association, 19(1), 121-127.

Goebel R., Chander A. Holzinger K., Lecue F., Akata Z., Stumpf S. […], Holzinger A. (2018), Explainable AI: the new 42?, Holzinger et al. (a cura di), International Cross-Domain Conference, CD-MAKE 2018, Hamburg, Germany, August 27–30, 2018, Proceedings, Springer, Cham, 295-303.

Goldstein I. M., Lawrence J., Miner A. S. (2017), Human-machine collaboration in cancer and beyond: The centaur care model, JAMA oncology, 3(10), 1303-1304.

Hamacher A., Bianchi-Berthouze N., Pipe A. G., Eder K. (2016), Believing in BERT: Using expressive communication to enhance trust and counteract operational error in physical Human-robot interaction, 2016 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN, IEEE, New York, 493-500.

Harari Y. N. (2015), Homo Deus: A Brief History of Tomorrow, Harvill Secker, London; trad it. Homo deus: breve storia del futuro (2017), Bompiani, Milano.

Holzinger A. (2016), Interactive machine learning for health informatics: when do we need the human-in-the-loop?, Brain Informatics, 3(2), 119-131.

Hutchins E. (1995), Cognition in the Wild, MIT press, Cambridge, MA.

Khan M. S., Riaz H. (2019), The Rise of Documentation and the Destruction of Modern Medicine, The American journal of medicine, 132(4), 407.

Kasparov G. (2017), Deep thinking: where machine intelligence ends and human creativity begins, Hachette UK, London.

Knight W. (2017), More Evidence That Humans and Machines Are Better When They Team Up, MIT Technology Review. link verificato a dicembre 2018.

Kolko J. (2018), 5 Questions We Should Be Asking About Automation and Jobs, Harvard Business Review, URL: link verificato a maggio 2019.

Kummer T. F., Recker J., Bick M. (2017), Technology-induced anxiety: Manifestations, cultural influences, and its effect on the adoption of sensor-based technology in German and Australian hospitals, Information & Management, 54(1), 73-89.

Liang J., Ramanauskas B., Kurenkov A. (2019), Job loss due to AI — How bad is it going to be?, Skynet Today, link verificato a maggio 2019.

Lin L. Y., Sidani J. E., Shensa A., Radovic A., Miller E., Colditz J. B. […], Primack B. A. (2016), Association between social media use and depression among US young adults, Depression and anxiety, 33(4), 323-331.

Lyell D., Magrabi F., Raban M. Z., Pont L.G., Baysari M. T., Day R. O., Coiera E. (2017), Automation bias in electronic prescribing, BMC medical informatics and decision making, 17(1), 28.

Manning E. (2018), Could emotionally intelligent bots help build trust between man and machine?, World Economic Forum, link verificato a maggio 2019.

McDougle S. (2014), Hollywood Myth, Busted: Humans Use Far More Than 10% of Their Brains, The Atlantic, link verificato a maggio 2019.

Nass C., Steuer J., Tauber E., Reeder H. (1993), Anthropomorphism, agency, and ethopoeia: computers as social actors, Ashlund S. et al. (a cura di), INTERACT’93 and CHI’93 conference companion on Human factors in computing systems, ACM, New York, 111-112.

Osoba O. A., Welser W. (2017), The risks of artificial intelligence to security and the future of work, RAND Corporation, Santa Monica, CA.

Peper E., Harvey R. (2018), Digital addiction: Increased loneliness, anxiety, and depression, NeuroRegulation, 5(1), 3-8.

Radford B. (1999), The Ten-Percent Myth, Skeptical Inquirer, 23(2), 52-53.

Riley M. N. (2017), Complacency in the Age of Technology.

Rotenstein L. S., Torre M., Ramos M.A., Rosales R. C., Guille C., Sen S., Mata D. A. (2018), Prevalence of burnout among physicians: a systematic review, Jama, 320(11), 1131-1150.

Skitka L. J., Mosier K. L., Burdick M. D. (1999), Does automation bias decision-making?, International Journal of Human-Computer Studies, 51(5), 991-1006.

Skitka L. J., Mosier K. L., Burdick M. D. (2000), Accountability and automation bias, International Journal of Human-Computer Studies, 52(4), 701-717.

Sloman S., Rabb N. (2016), Your understanding is my understanding: Evidence for a community of knowledge, Psychological science, 27(11), 1451-1460.

Sloman S., Fernbach P. (2017), The knowledge illusion: Why we never think alone, Riverhead Books, New York.

Wenger E. (2010), Communities of practice and social learning systems: the career of a concept, Blackmore C. (a cura di), Social learning systems and communities of practice, Springer, London, 179-198.

Zipf G. K. (2016), Human behavior and the principle of least effort: An introduction to human ecology,  Addison Wesley, Cambridge (MA).

Lascia un commento

Il tuo indirizzo email non sarà pubblicato. I campi obbligatori sono contrassegnati *

Cookie Policy | Privacy Policy

© 2019 ESTE Srl - Via Cagliero, 23 - Milano - TEL: 02 91 43 44 00 - FAX: 02 91 43 44 24 - - P.I. 00729910158
logo sernicola sviluppo web milano