Digital Mindfulness: Navigating Stress in a Hyper-Connected World
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Panel at the the HealthFuture Summit by CTA
Gen AI, Mental Health and Society
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Panel at the International Neuroethics Society
Mental Health, Chatbots, and the Future of Care
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“We have an opinion on what we think a current best practice might be, but we also acknowledge that because of this technology…usage is evolving so fast, the evaluation has to evolve with them.”
VERA-MH: Reliability and Validity of an Open-Source AI Safety Evaluation in Mental Health
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VERA-MH is compared to practicing clinicians
VERA-MH Concept Paper
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Introducing Validation of Ethical and Responsible AI in Mental Health, a new clinically-grounded open-source tool evaluation of safety of chatbots.
LTI Colloquium: Responsible AI from RecSys to GenAI
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Language Technologies Institute at Carnegie Mellon (LTI at CMU)
What's in an Algorithm? Empowering users through nutrition labels for recommender systems
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Knight Institute Symposium on “Optimizing for What? Algorithmic Amplification and Society”
Randomization, Neutrality, and Fairness
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Panel at Simons Laufer Mathermatic Sciences Institute
The NIST AI Risk Management Framework
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Berkeley AI Law Institute
Model Collapse and Bias in AI
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SES Standards and Innovation Forum 2023.
Keynote talk at Evaluating RecSys 2023
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EvalRS aims to bring together practitioners from industry and academia to foster a debate on rounded evaluation of recommender systems, with a focus on real-world impact across a multitude of deployment scenarios.