AI Regulations

Class Coverage

• What does the impossibility theorem mean for organizations employing AI?
• Should we just avoid using AI completely?
• What regulatory efforts help ascertain the definitions of fairness applicable to the use case?

Pre-Class Readings

Please read the following:

• Big Data’s Disparate Impact (Barocas and Selbst)
• Why New York City is cracking down on AI in hiring (Brookings)

Participation Questions

Submit to Gradescope by 10AM PT on Thursday, October 27th

• How effective do you think NYC’s hiring law would be? Should future regulation use this as a template? Is it over-broad? Under-broad? Just right? What is wrong with how the law is written? What do you like about the law?

This Week’s Slides

• Discussion Topic
• Week 05: AI Regulations

Assigned for Week 06

• Complete next week’s readings
  • If you signed up to present on Ethical Machine Learning in Health Care (Chen et al. 2021) come prepared to present next week and submit your presentation on Gradescope by 10AM PT on Friday, November 4th
• Submit your answers to next week’s participation questions to Gradescope by 10AM PT on Thursday, November 3rd
• Submit your Q1 Project Checkpoint by October 30th
• Replication Project Part 02: Fairness Assessments (coming soon)

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