Resources

4.1 - Introduction to Ethical Considerations

Proposed Readings:

• OpenAI. (n.d.). AI and the future of language. Retrieved from https://openai.com/blog/ai-and-the-future-of-language/

Proposed Media:

• OpenAI. (2021, March 5). AI Language Models: The Future of Natural Language Processing [Video]. YouTube. https://www.youtube.com/watch?v=3iEzM9OuE-0

4.2 - Potential Bias and Fairness Issues

Proposed Readings:

• AI Now Institute. (n.d.). The perils of commercial AI: Accountability, fairness, and bias. Retrieved from https://ainowinstitute.org/perilsofcommercialAI.html

Proposed Media:

• Google Research. (2019, September 26). Fairness in machine learning [Video]. YouTube. https://www.youtube.com/watch?v=muZcBlTtsho

4.3 - Privacy Concerns and Data Handling Practices

Proposed Readings:

• Electronic Frontier Foundation (EFF). (n.d.). Understanding AI and privacy. Retrieved from https://www.eff.org/issues/ai

Proposed Media:

• Stanford HAI. (2020, October 7). AI and privacy: Risks and solutions [Video]. YouTube. https://www.youtube.com/watch?v=okykLz8Uoic

4.4 - Responsible AI Usage and Guidelines

Proposed Readings:

• Partnership on AI. (n.d.). Responsible AI framework. Retrieved from https://www.partnershiponai.org/responsible-ai-framework/

Proposed Media:

• Microsoft Research. (2020, March 31). Building trustworthy AI systems: Responsible AI engineering [Video]. YouTube. https://www.youtube.com/watch?v=xGd8PUIJhrI