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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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Holm, Elizabeth A. “In Defense of the Black Box.” Science 364, no. 6435 (April 5, 2019): 26–27.

https://doi.org/10.1126/science.aax0162

Suresh, Harini, and J. Guttag. “A Framework for Understanding Unintended Consequences of Machine Learning.” ArXiv, January 28, 2019.

https://www.semanticscholar.org/paper/A-Framework-for-Understanding-Unintended-of-Machine-Suresh-Guttag/61c425bdda0e053074e96c3e6761ff1d7e0dd469

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

https://hbr.org/2018/07/want-less-biased-decisions-use-algorithms

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

https://hbr.org/2013/04/the-hidden-biases-in-big-data

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

https://www.technologyreview.com/2019/05/28/65748/ai-algorithms-liability-human-blame/

Boddington, Paula. Towards a Code of Ethics for Artificial Intelligence. Artificial Intelligence: Foundations, Theory, and Algorithms. Cham: Springer International Publishing, 2017.

https://doi.org/10.1007/978-3-319-60648-4

Dignum, Virginia. “Responsible Artificial Intelligence: Designing Ai for Human Values,” 2017.

https://www.semanticscholar.org/paper/Responsible-Artificial-Intelligence%3A-Designing-Ai-Dignum/c9fd2a6b240caf3d18f641d5956e71cbd29930e3

Wallach, Wendell, and Colin Allen. Moral Machines. Oxford University Press, 2009.

https://doi.org/10.1093/acprof:oso/9780195374049.001.0001

Lin, Patrick, and Keith Abney, eds. Robot Ethics 2.0: From Autonomous Cars to Artifical Intelligence. New York, NY: Oxford University Press, 2017.