Reading List

There are approximately 8.27 billion articles written about AI recently, and scientists estimate that new articles come out at the rate of 12,000 per day. It's tough to keep up with the literature! Here are some of our favorite and most trustworthy sources of information about AI usage, impacts, etc.

General:

Topics:

 

Algorithmic Bias

  • IBM's "AI Bias Examples" and notes [IBM]
    This is a great resource with a solid overview of AI/algorithmic bias, how it is introduced into AI models, and ways to mitigate it. In addition, there are examples of real-world algorithmic bias in healthcare, criminal justice, and other social systems.
     
  • Algorithmic Justice League
    This organization has resources for learning about and combatting algorithmic bias and promoting equity in AI systems.
     
  • ACLU's Accountability in Artificial Intelligence project
    As part of the ACLU's Racial Justice Program, the Accountability in AI project exists to "challenge AI's power to preserve and exacerbate systemic racism..." with facts, figures, and resources.
     
  • Machine Bias [Pro Publica]
    A fascinating and well-researched report (from 2016!) about racial inequities in criminal justice software. 

 

Environmental Impact

 

Labor / Workforce Impact

  • Will Generative AI Disproportionately Affect the Jobs of Women? McNeilly, Smith 2023
    Analysis of findings that "21% more women are exposed to AI automation than men even though men outnumber women in the workforce" and what that could mean for the future of work for women.
     
  • The Rapid Adoption of Generative AI, Bick, Blandin, Deming 2024
    This widely-cited report from the National Bureau of Economic Research demonstrated that approximately 40% of working-age adults had tried AI and almost a quarter of employed respondents used it at work within the previous week.

 

Copyright / Intellectual Property

 

Critical AI ("Anti-AI")