AI Ethics Statements -- Analysis and lessons learnt from NeurIPS Broader
Impact Statements

AI Ethics Statements -- Analysis and lessons learnt from NeurIPS Broader Impact Statements

2 November 2021

Carolyn Ashurst

Papers citing "AI Ethics Statements -- Analysis and lessons learnt from NeurIPS Broader Impact Statements"

18 / 18 papers shown

Title
Supporting Industry Computing Researchers in Assessing, Articulating, and Addressing the Potential Negative Societal Impact of Their Work Wesley Hanwen Deng Solon Barocas Jennifer Wortman Vaughan 32 4 0 02 Aug 2024
ExploreGen: Large Language Models for Envisioning the Uses and Risks of AI Technologies Viviane Herdel S. Šćepanović Edyta Bogucka Daniele Quercia 20 7 0 17 Jul 2024
Navigating LLM Ethics: Advancements, Challenges, and Future Directions Junfeng Jiao S. Afroogh Yiming Xu Connor Phillips AILaw 60 19 0 14 May 2024
BLIP: Facilitating the Exploration of Undesirable Consequences of Digital Technologies Rock Yuren Pang Sebastin Santy René Just Katharina Reinecke 32 14 0 10 May 2024
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap Tianqi Kou 36 0 0 19 Apr 2024
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping Zijie J. Wang Chinmay Kulkarni Lauren Wilcox Michael Terry Michael A. Madaio 38 43 0 23 Feb 2024
AnthroScore: A Computational Linguistic Measure of Anthropomorphism Myra Cheng Kristina Gligorić Tiziano Piccardi Dan Jurafsky 40 12 0 03 Feb 2024
Responsible AI Research Needs Impact Statements Too Alexandra Olteanu Michael Ekstrand Carlos Castillo Jina Suh 38 7 0 20 Nov 2023
Responsible AI Considerations in Text Summarization Research: A Review of Current Practices Yu Lu Liu Meng Cao Su Lin Blodgett Jackie Chi Kit Cheung Alexandra Olteanu Adam Trischler 23 1 0 18 Nov 2023
More than Model Documentation: Uncovering Teachers' Bespoke Information Needs for Informed Classroom Integration of ChatGPT Mei Tan Hariharan Subramonyam 27 19 0 25 Sep 2023
Automated Few-shot Classification with Instruction-Finetuned Language Models Rami Aly Xingjian Shi Kaixiang Lin Aston Zhang A. Wilson 28 9 0 21 May 2023
"That's important, but...": How Computer Science Researchers Anticipate Unintended Consequences of Their Research Innovations Kimberly Do Rock Yuren Pang Jiachen Jiang Katharina Reinecke 8 28 0 27 Mar 2023
Inaccessible Neural Language Models Could Reinvigorate Linguistic Nativism Patrick Perrine 27 0 0 12 Jan 2023
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey Otávio Parraga Martin D. Móre C. M. Oliveira Nathan Gavenski L. S. Kupssinskü Adilson Medronha L. V. Moura Gabriel S. Simões Rodrigo C. Barros 40 11 0 10 Nov 2022
Atomist or Holist? A Diagnosis and Vision for More Productive Interdisciplinary AI Ethics Dialogue Travis Greene Amit Dhurandhar Galit Shmueli 12 7 0 19 Aug 2022
Don't "research fast and break things": On the ethics of Computational Social Science David Leslie 9 4 0 12 Jun 2022
RAFT: A Real-World Few-Shot Text Classification Benchmark Neel Alex Eli Lifland Lewis Tunstall A. Thakur Pegah Maham ... Carolyn Ashurst Paul Sedille A. Carlier M. Noetel Andreas Stuhlmuller RALM 178 56 0 28 Sep 2021
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 88 224 0 24 Oct 2020