AI Ethics Readings
Amazon scraps secret AI recruiting tool that showed bias against women
The article discusses how bias towards women was built into machine learning for recruiting employees at Amazon.
Dastin, J. (2018, October 10). Amazon scraps secret AI recruiting tool that showed bias against women. Retrieved from Reuters: https://www.reuters.com/article/us-amazon-com-jobs-automation-insight/amazon-scraps-secret-ai-recruiting-tool-that-showed-bias-against-women-idUSKCN1MK08G
Understanding racial bias in machine learning algorithms
The article reveals racial bias in machine learning and discusses ways to combat the biases.
Fawcett, A. (2020, June 8). Understanding racial bias in machine learning algorithms. Retrieved from Educative: https://www.educative.io/blog/racial-bias-machine-learning-algorithms
Ethical concerns mount as AI takes bigger decision-making role in more industries
This article examines the promise and potential pitfalls of artificial intelligence and machine learning and the steps needed to humanize them.
Pazzanese, C. (2020, October 26). Ethical concerns mount as AI takes bigger decision-making role in more industries. Retrieved from The Havard Gazette: https://news.harvard.edu/gazette/story/2020/10/ethical-concerns-mount-as-ai-takes-bigger-decision-making-role/
It’s time to stop talking about ethics in AI and start doing it
The article points out the need to talk less about implementing ethical safeguards into AI and take action to implement them.
Syal, D. (2019, January 17). It’s time to stop talking about ethics in AI and start doing it. Retrieved from World Economic Forum: https://www.weforum.org/agenda/2019/01/it-s-time-to-stop-talking-about-ethics-in-ai-and-start-doing-it/
Weapons of Math Destruction
Author Cath O’Neil explores how some big data algorithms are increasingly used in ways that reinforce preexisting inequality.
O’Neil, C. (2016). Weapons of Math Destruction. New York: Crown Publishing Group.
Artificial Unintelligence: How Computers Misunderstand the World
Meredith Broussard points out technology’s inner workings and limits, and the audience should never assume that computers are always correct.
Broussard, M. (2018). Artificial Unintelligence: How Computers Misunderstand the World. Cambridge: The MIT Press.