Abstract
Automated predictions affect many areas of modern life, including risk scores in health care and insurance, potential mates in online dating apps, and recommendations in film and music streaming services.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Agrawal, A., Gans, J., Goldfarb, A.: Prediction Machines the Simple Economics of Artificial Intelligence. Harvard Business Review Press (2018)
Cobham, A.: The Uncounted. Polity (2020)
Committee on the Learning Health Care System in America: Best care at lower cost: the path to continuously learning health care in America. In: Smith, M., Saunders, R., Stuckhardt, L., et al. (eds.) A Continuously Learning Health Care System. National Academies Press (US), Washington (DC) (2013). https://www.ncbi.nlm.nih.gov/books/NBK207218/
Crawford, K., Calo, R.: There is a blind spot in AI research. Nature 538(7625), 311–313 (2016). https://doi.org/10.1038/538311a
Dignum, V.: AI: We are responsible. Presented at the Global Forum on AI for Humanity, Paris, France, 28–30 October 2019 (2019). https://youtu.be/oSFY_F61X7o?t=894. Accessed 25 May 2020
Dignum, V.: Responsible Artificial Intelligence Springer, Heidelberg (2020) https://www.springer.com/gp/book/9783030303709
Dietterich, T.G.: Robust artificial intelligence and robust human organizations. Front. Comput. Sci. 13(1), 1–3 (2019). https://doi.org/10.1007/s11704-018-8900-4
Espeland, W., Sauder, M.: Engines of Anxiety: Academic Rankings, Reputation, and Accountability. Russell Sage Foundation (2016). http://www.jstor.org/stable/10.7758/9781610448567. Accessed 18 Sept 2020
Ghassemi, M.: Learning healthy models for health care. Presented at the Global Forum on AI for Humanity, Paris, France, 28–30 October 2019 (2019). https://youtu.be/oSFY_F61X7o?t=1525. Accessed 25 May 2020
Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press (2016)
The Guardian: The Guardian view on the ethics of AI: it’s about Dr Frankenstein, not his monster (2018). https://www.theguardian.com/commentisfree/2018/jun/12/the-guardian-view-on-the-ethics-of-ai-its-about-dr-frankenstein-not-his-monster. Accessed 25 May 2020
Johnson, K.S.: Racial and ethnic disparities in palliative care. J. Palliat. Med. 16(11), 1329–1334 (2013). https://doi.org/10.1089/jpm.2013.9468
Mohamed, S., Png, M.-T., Isaac, W.: Decolonial AI: decolonial theory as sociotechnical foresight in artificial intelligence. Philos. Technol. 33(4), 659–684 (2020). https://doi.org/10.1007/s13347-020-00405-8
Myers-West, S., Whittaker, M., Crawford, K.: Discriminating Systems: Gender, Race and Power in AI. In AI Now Institute, Issue April (2019). https://ainowinstitute.org/discriminatingsystems.html
Nemitz, P.: Constitutional democracy and technology in the age of artificial intelligence. Phil. Trans. R. Soc. A (2018). https://doi.org/10.1098/rsta.2018.0089
Nourbakhsh, I.: AI fluency in education. Presented at the Global Forum on AI for Humanity, Paris, France, 28–30 October 2019 (2019). https://youtu.be/oSFY_F61X7o?t=2211. Accessed 25 May 2020
O’Neil, C.: Weapons of math destruction: how big data increases inequality and threatens democracy. Penguin Random House (2017)
Owen, T.: Should We Use Digital Contact Tracing at All? CIGI Big Tech (2020). https://www.cigionline.org/articles/should-we-use-digital-contact-tracing-all
Sendak, M., et al.: “The human body is a black box”: supporting clinical decision-making with deep learning. In: FAT* 2020 - Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, pp. 99–109 (2020). https://doi.org/10.1145/3351095.3372827
Taddy, M.: The technological elements of artificial intelligence in the economics of artificial intelligence: an agenda. In: Agrawal, A., Gans, J., Goldfarb, A. (eds.) Conference Held 13–14 September 2017, May 2019, University of Chicago Press (2019)
Torras, C.: The Vestigial Heart: A Novel of the Robot Age. MIT Press (2018)
Torras, C.: Assistive AI: ethics education initiatives based on science fiction. Presented at the Global Forum on AI for Humanity, Paris, France, 28–30 October 2019 (2019). https://youtu.be/oSFY_F61X7o?t=2774. Accessed 25 May 2020
van den Hoven, J.: AI ethics: design for responsibility and human agency. Presented at the Global Forum on AI for Humanity, Paris, France, 28–30 October 2019 (2019). https://youtu.be/oSFY_F61X7o?t=307. Accessed 25 May 2020
Wiens, J., et al.: Do no harm: a roadmap for responsible machine learning for health care. Nat. Med. 25(September) (2019). https://doi.org/10.1038/s41591-019-0548-6
Acknowledgements
We would like to thank E. Ector, J. Farrow and C. Ridell for their helpful assistance.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Finlay, R., Takeda, H. (2021). Reflections on Decision-Making and Artificial Intelligence. In: Braunschweig, B., Ghallab, M. (eds) Reflections on Artificial Intelligence for Humanity. Lecture Notes in Computer Science(), vol 12600. Springer, Cham. https://doi.org/10.1007/978-3-030-69128-8_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-69128-8_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-69127-1
Online ISBN: 978-3-030-69128-8
eBook Packages: Computer ScienceComputer Science (R0)