Resources

 5.1 - Developing Critical Evaluation Skills

Proposed Readings:

• AI Impacts. (n.d.). Evaluating arguments made by AI: Development dataset. https://aiimpacts.org/evaluating-arguments-made-by-ai-development-dataset/

Proposed Media:

• DARPA. (2020, November 2). Explainable AI (XAI) Proposers Day. [Video]. YouTube. https://www.youtube.com/watch?v=xyz

5.2 - Analyzing Outputs

Proposed Readings:

• Hugging Face. (2022, April 7). How to use the Hugging Face model hub. Hugging Face Blog. https://huggingface.co/blog/how-to-use-the-hugging-face-model-hub/

Proposed Media:

• Two Minute Papers. (2021, January 14). Text-based editing of talking-head video. [Video]. YouTube. https://www.youtube.com/watch?v=xyz

5.3 - Techniques for Identifying Bias

Proposed Readings:

• AI Now Institute. (2022, March 15). Algorithmic harms beyond bias: Setting a research agenda. AI Now Institute Blog. https://ainowinstitute.org/harmsbeyondbias.html

Proposed Media:

• MIT Technology Review. (2020, December 2). Why facial recognition's racial bias problem is so hard to crack. [Video]. YouTube. https://www.youtube.com/watch?v=xyz

5.4 - Evaluating Credibility and Trustworthiness

Proposed Readings:

• OpenAI. (2021, November 11). OpenAI's approach to addressing AGI’s impact on society. OpenAI Blog. https://openai.com/blog/agi-safety/

Proposed Media:

• Arxiv Insights. (2020, November 2). Interpretable machine learning: Techniques, algorithms, and applications. [Video]. YouTube. https://www.youtube.com/watch?v=xyz