Welcome to AI in Society
Science and Technology Studies 102
Safer Not to Know?: Shaping liability law and policy to incentivize adoption of predictive AI technologies in the food system
Can AI be too good to use? One of Dr. Alexander’s recent co-authored articles discusses why “trustworthy AI” may not get adopted and used when it is most in the public interest.
Who is Responsible for ‘Responsible AI’?: Navigating challenges to build trust in AI agriculture and food system technology
In this co-authored article, findings include ethical problems related to data access, regulation, trust between humans, and dysfunctional adoption of AI.
Dr. Alexander will be speaking for Data Science for Health Equity (DSxHE) in January 2026
Dr. Alexander has been invited to give a talk for the Data Science for Health Equity group, based in the UK. For details on this presentation contact Dr. Alexander. To attend the talk, sign up to participate in DSxHE.
AI in Society 