Search Results for author: Anna Kawakami

Found 5 papers, 0 papers with code

A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms

no code implementations30 Jun 2022 Amanda Coston, Anna Kawakami, Haiyi Zhu, Ken Holstein, Hoda Heidari

Recent research increasingly brings to question the appropriateness of using predictive tools in complex, real-world tasks.

Decision Making

Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?

no code implementations13 Mar 2023 Shreya Chowdhary, Anna Kawakami, Mary L. Gray, Jina Suh, Alexandra Olteanu, Koustuv Saha

Our mapping of what prevents workers from meaningfully consenting to workplace wellbeing technologies (challenges) and what they require to do so (interventions) illustrates how the lack of meaningful consent is a structural problem requiring socio-technical solutions.

Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design

no code implementations26 Mar 2023 Anna Kawakami, Amanda Coston, Haiyi Zhu, Hoda Heidari, Kenneth Holstein

AI-based decision-making tools are rapidly spreading across a range of real-world, complex domains like healthcare, criminal justice, and child welfare.

Decision Making Position

Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge

no code implementations30 Aug 2023 Anna Kawakami, Luke Guerdan, Yanghuidi Cheng, Matthew Lee, Scott Carter, Nikos Arechiga, Kate Glazko, Haiyi Zhu, Kenneth Holstein

A growing body of research has explored how to support humans in making better use of AI-based decision support, including via training and onboarding.

Decision Making

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