Carnegie Mellon University

A Survey on Evaluation of Large Language Models

Yupeng Chang, Xu Wang, Jindong Wang et al.

2024 · 2.141 Zit.

Designing Theory-Driven User-Centric Explainable AI

Danding Wang, Qian Yang, Ashraf Abdul et al.

2019 · 808 Zit.

A snapshot of the frontiers of fairness in machine learning

Alexandra Chouldechova, Aaron Roth

2020 · 334 Zit.

Algorithmic bias: Senses, sources, solutions

Sina Fazelpour, David Danks

2021 · 223 Zit.

Unremarkable AI

Qian Yang, Aaron Steinfeld, John Zimmerman

2019 · 212 Zit.

“Brilliant AI Doctor” in Rural Clinics: Challenges in AI-Powered Clinical Decision Support System Deployment

Dakuo Wang, Liuping Wang, Zhan Zhang et al.

2021 · 171 Zit.

Technology readiness levels for machine learning systems

Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic et al.

2022 · 144 Zit.

In defense of the black box

Elizabeth A. Holm

2019 · 143 Zit.

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Satyapriya Krishna, Tessa Han, Alex Gu et al.

2023 · 142 Zit.

Toward fairness in AI for people with disabilities SBG@a research roadmap

Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan et al.

2020 · 123 Zit.

A Human-AI Collaborative Approach for Clinical Decision Making on Rehabilitation Assessment

Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic et al.

2021 · 121 Zit.

Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support

Anna Kawakami, Venkatesh Sivaraman, Hao-Fei Cheng et al.

2022 · 115 Zit.

The Internal State of an LLM Knows When It’s Lying

Amos Azaria, Tom M. Mitchell

2023 · 106 Zit.

Investigating the Heart Pump Implant Decision Process

Qian Yang, John Zimmerman, Aaron Steinfeld et al.

2016 · 104 Zit.

Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care

Venkatesh Sivaraman, Leigh A. Bukowski, Joel Levin et al.

2023 · 100 Zit.