Are large language models a threat to digital public goods? evidence from activity on stack overflow

M del Rio-Chanona, N Laurentsyeva… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models like ChatGPT efficiently provide users with information about
various topics, presenting a potential substitute for searching the web and asking people for …

Benefits and harms of large language models in digital mental health

M De Choudhury, SR Pendse, N Kumar - arXiv preprint arXiv:2311.14693, 2023 - arxiv.org
The past decade has been transformative for mental health research and practice. The
ability to harness large repositories of data, whether from electronic health records (EHR) …

A framework for exploring the consequences of ai-mediated enterprise knowledge access and identifying risks to workers

A Gausen, B Mitra, S Lindley - The 2024 ACM Conference on Fairness …, 2024 - dl.acm.org
Organisations generate vast amounts of information, which has resulted in a long-term
research effort into knowledge access systems for enterprise settings. Recent developments …

Policy advice and best practices on bias and fairness in AI

JM Alvarez, AB Colmenarejo, A Elobaid… - Ethics and Information …, 2024 - Springer
The literature addressing bias and fairness in AI models (fair-AI) is growing at a fast pace,
making it difficult for novel researchers and practitioners to have a bird's-eye view picture of …

Large language models shape and are shaped by society: A survey of arXiv publication patterns

R Movva, S Balachandar, K Peng, G Agostini… - arXiv preprint arXiv …, 2023 - arxiv.org
There has been a steep recent increase in the number of large language model (LLM)
papers, producing a dramatic shift in the scientific landscape which remains largely …

AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services

N Tang, J Zhi, TS Kuo, C Kainaroi, JJ Northup… - The 2024 ACM …, 2024 - dl.acm.org
AI-based decision support tools have been used in a wide range of high-stakes settings.
However, many of them have failed. Past literature in FAccT contributes important insights …

The Impact and Opportunities of Generative AI in Fact-Checking

R Wolfe, T Mitra - The 2024 ACM Conference on Fairness, Accountability …, 2024 - dl.acm.org
Generative AI appears poised to transform white collar professions, with more than 90% of
Fortune 500 companies using OpenAI's flagship GPT models, which have been …

Data Probes as Boundary Objects for Technology Policy Design: Demystifying Technology for Policymakers and Aligning Stakeholder Objectives in Rideshare Gig …

A Zhang, R Rana, A Boltz, V Dubal… - Proceedings of the CHI …, 2024 - dl.acm.org
Despite the evidence of harm that technology can inflict, commensurate policymaking to
hold tech platforms accountable still lags. This is pertinent to app-based gig workers, where …

Data Agency Theory: A Precise Theory of Justice for AI Applications

L Ajmani, L Stapleton, M Houtti… - The 2024 ACM Conference …, 2024 - dl.acm.org
Data collection methods for AI applications have been heavily scrutinized by researchers,
policymakers, and the general public. In this paper, we propose data agency theory (DAT), a …

Institutional arrangements in the promotion of sustainable livestock: an approach from the case of beef and dairy cattle production chains in Jalisco, Chiapas, and …

I Avalos, C Sepulveda, JE Betanzos… - … in Sustainable Food …, 2024 - frontiersin.org
This study focuses on a policy and practice review of existing institutional arrangements
within the beef and dairy cattle production sectors in the Mexican states of Jalisco, Chiapas …