Ethical Considerations for AI Use - Examples

Bias

• National Education Association (NEA) white paper (February 2024), “Does AI Have a Bias Problem?”
• Scientific American (October 2023), “Humans Absorb Bias from AI—And Keep It After They Stop Using the Algorithm”
• Wired (March 2025), “OpenAI’s Sora is Plagued by Sexist, Racist, and Ableist Biases”

Hallucinations

• The National CIO Review (January 2025), “Hallucinating Machines: Understanding GenAI Errors”
• The New York Times (May 2023), “When A.I. Chatbots Hallucinate”
• Stanford HAI (May 2024), “AI on Trial: Legal Models Hallucinate in 1 out of 6 (or More) Benchmarking Queries”

Labor Concerns

• Bloomberg (February 2024), “AI Is Driving More Layoffs Than Companies Want to Admit”
• Fortune magazine (July 2023), “Google’s Bard A.I. chatbot is being trained by contractors who say they’re overworked, underpaid, stressed and scared”
• Literary Hub (June 2024), “How Vulnerable Low-Wage Workers Power AI Algorithms”

Accessibility Concerns

• The Atlantic (April 2024), “The Languages AI Is Leaving Behind”
• Bureau of Internet Accessibility (Sept 2023), “Will Generative AI Improve Digital Accessibility?”
• Internet Policy Review (June 2024), “The intensified digital divide: Comprehending GenAI”

GenAI’s Environmental Impact

• Communications of the ACM (August 2023), “The Carbon Footprint of Artificial Intelligence”
• Information Week (Sept 2024), “How AI Impacts Sustainability Opportunities and Risks”
• MIT News (January 2025), “Explained: Generative AI’s environmental impact”

GenAI’s Privacy Concerns

• eWeek (November 2024), “Understanding AI Privacy: Key Challenges and Solutions”
• Nature (September 2024), “Intellectual property and data privacy: the hidden risks of AI”
• Stack Overflow Blog (October 2023), “Privacy in the age of generative AI”