Harvard DtAK Lab
We are Harvard’s Data to Actionable Knowledge (DtAK) lab, led by Finale Doshi-Velez. We use probabilistic methods to address many decision-making scenarios involving humans and AI. Our work spans specific application domains (health and wellness) as well as broader socio-technical questions around human-AI interaction, AI accountability, and responsible and effective AI regulation.
Domain/sector
- Philosophy, Ethics & Moral Sciences
- Healthcare, Biomedical Sciences & Sports
- Across all disciplines (AI in general)
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MNRAI (Minnesota Responsible AI Institute)
At the Minnesota Responsible AI Institute, we have three main goals: to educate Minnesotans about the importance of Responsible AI, to offer Responsible AI training certificates, and to boost our state's economy by helping to create and increase non-technical Responsible AI roles.
