Princeton University

Assessing risk, automating racism

Ruha Benjamin

2019 · 352 Zit.

Managing extreme AI risks amid rapid progress

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

2024 · 246 Zit.

Auditing large language models: a three-layered approach

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

2023 · 183 Zit.

Toxicity in chatgpt: Analyzing persona-assigned language models

Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit et al.

2023 · 138 Zit.

Scientific Misconduct

Charles G. Gross

2015 · 127 Zit.

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

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

2022 · 102 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 · 93 Zit.

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

Angelina Wang, V. Ramaswamy, Olga Russakovsky

2022 · 82 Zit.

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

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

2024 · 76 Zit.

Protecting human research participants in the age of big data

Susan T. Fiske, Robert M. Hauser

2014 · 73 Zit.

Opportunities and challenges of using generative AI to personalize educational assessment

Burcu Arslan, Blair Lehman, Caitlin Tenison et al.

2024 · 32 Zit.

Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies

Sunnie S. Y. Kim, Jennifer Wortman Vaughan, Q. Vera Liao et al.

2025 · 30 Zit.

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

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

2022 · 26 Zit.

Credible without Credit: Domain Experts Assess Generative Language Models

Denis Peskoff, Brandon Stewart

2023 · 20 Zit.

Human-Centered Explainable AI (HCXAI): Reloading Explainability in the Era of Large Language Models (LLMs)

Upol Ehsan, Elizabeth Anne Watkins, Philipp Wintersberger et al.

2024 · 18 Zit.