Search Results for author: Kori Inkpen

Found 5 papers, 0 papers with code

Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making

no code implementations16 Aug 2022 Kori Inkpen, Shreya Chappidi, Keri Mallari, Besmira Nushi, Divya Ramesh, Pietro Michelucci, Vani Mandava, Libuše Hannah Vepřek, Gabrielle Quinn

In addition, we found that users' perception of the AI's performance relative on their own also had a significant impact on whether their accuracy improved when given AI recommendations.

Decision Making

Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging

no code implementations19 May 2022 Riccardo Fogliato, Shreya Chappidi, Matthew Lungren, Michael Fitzke, Mark Parkinson, Diane Wilson, Paul Fisher, Eric Horvitz, Kori Inkpen, Besmira Nushi

A critical aspect of interaction design for AI-assisted human decision making are policies about the display and sequencing of AI inferences within larger decision-making workflows.

Decision Making

Investigations of Performance and Bias in Human-AI Teamwork in Hiring

no code implementations21 Feb 2022 Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar

In AI-assisted decision-making, effective hybrid (human-AI) teamwork is not solely dependent on AI performance alone, but also on its impact on human decision-making.

Decision Making

What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring

no code implementations8 Sep 2019 Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar

Although systematic biases in decision-making are widely documented, the ways in which they emerge from different sources is less understood.

Decision Making

Investigating Human + Machine Complementarity for Recidivism Predictions

no code implementations28 Aug 2018 Sarah Tan, Julius Adebayo, Kori Inkpen, Ece Kamar

Dressel and Farid (2018) asked Mechanical Turk workers to evaluate a subset of defendants in the ProPublica COMPAS data for risk of recidivism, and concluded that COMPAS predictions were no more accurate or fair than predictions made by humans.

Decision Making Fairness

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