Princeton University

Assessing risk, automating racism

Ruha Benjamin

2019 · 345 Zit.

Managing extreme AI risks amid rapid progress

Yoshua Bengio, Geoffrey E. Hinton, Andrew Chi-Chih Yao et al.

2024 · 221 Zit.

Auditing large language models: a three-layered approach

Jakob Mökander, Jonas Schuett, Hannah Rose Kirk et al.

2023 · 159 Zit.

Scientific Misconduct

Charles G. Gross

2015 · 126 Zit.

Toxicity in chatgpt: Analyzing persona-assigned language models

Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit et al.

2023 · 126 Zit.

Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI

Upol Ehsan, Philipp Wintersberger, Q. Vera Liao et al.

2022 · 90 Zit.

Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation

Angelina Wang, V. Ramaswamy, Olga Russakovsky

2022 · 80 Zit.

Protecting human research participants in the age of big data

Susan T. Fiske, Robert M. Hauser

2014 · 73 Zit.

"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust

Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu et al.

2024 · 68 Zit.

REFORMS: Consensus-based Recommendations for Machine-learning-based Science

Sayash Kapoor, Emily M. Cantrell, Kenny Peng et al.

2024 · 65 Zit.

Opportunities and challenges of using generative AI to personalize educational assessment

Burcu Arslan, Blair Lehman, Caitlin Tenison et al.

2024 · 29 Zit.

Challenges and best practices in corporate AI governance: Lessons from the biopharmaceutical industry

Jakob Mökander, Margi Sheth, Mimmi Gersbro-Sundler et al.

2022 · 25 Zit.

Credible without Credit: Domain Experts Assess Generative Language Models

Denis Peskoff, Brandon Stewart

2023 · 19 Zit.

Estimating and Improving Fairness with Adversarial Learning

Xiaoxiao Li, Ziteng Cui, Yifan Wu et al.

2021 · 18 Zit.

Association of Internet Researchers (AoIR) Roundtable Summary: Artificial Intelligence and the Good Society Workshop Proceedings

Corinne Cath, Michael Zimmer, Stine Lomborg et al.

2018 · 17 Zit.