Ethics of AI and Responsible Use

This module explores the ethics of AI and responsible use, focusing on the ethical challenges and considerations in developing and deploying AI systems. It covers topics such as bias, fairness, transparency, accountability, and the impact of AI on privacy and human rights.

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Lin, P., Abney, K. and Jenkins, R. “Robot Ethics” 2.0, Oxford University Press (2019)

Wallach, W., Allen, C. “Moral Machines”, Oxford University Press (2009).

Dignum, Virginia. “Responsible artificial intelligence: designing AI for human values,” ITU Journal, 2017.

Boddington, Paula. “Towards a code of ethics for artificial intelligence”. Cham: Springer, 2017.

Karen Hao. “When Algorithms Mess Up, the Nearest Human Gets the Blame,” MIT Technology Review, May 28, 2019.

Crawford, Kate. “The Hidden Biases in Big Data,” Harvard Business Review, April 1, 2013

Miller, Alex. “Want Less-Biased Decisions? Use Algorithms,” Harvard Business Review, July 26, 2018.

Harini Suresh, and John Guttag. “A Framework for Understanding Unintended Consequences of Machine Learning” January 2019.

Holm, Elizabeth A. “In Defense of the Black Box.” Science (American Association for the Advancement of Science) 364, no. 6435 (2019): 26–27. doi:10.1126/science.aax0162.