347 citations · 1k across the 30 of their papers we have counts for
33 papers
Fully Autonomous AI Agents Should Not be Developed
Margaret Mitchell, Avijit Ghosh, Alexandra Sasha Luccioni +1
This paper argues that fully autonomous AI agents should not be developed. In support of this position, we build from prior scientific literature and current product marketing to d…
From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate
Alexandra Sasha Luccioni, Emma Strubell, Kate Crawford
As the climate crisis deepens, artificial intelligence (AI) has emerged as a contested force: some champion its potential to advance renewable energy, materials discovery, and larg…
Open Problems in Technical AI Governance
Anka Reuel, Ben Bucknall, Stephen Casper +30
AI progress is creating a growing range of risks and opportunities, but it is often unclear how they should be navigated. In many cases, the barriers and uncertainties faced are at…
CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models
Giada Pistilli, Alina Leidinger, Yacine Jernite +3
This paper introduces the "CIVICS: Culturally-Informed & Values-Inclusive Corpus for Societal impacts" dataset, designed to evaluate the social and cultural variation of Large Lang…
Into the LAIONs Den: Investigating Hate in Multimodal Datasets
Abeba Birhane, Vinay Prabhu, Sang Han +2
'Scale the model, scale the data, scale the compute' is the reigning sentiment in the world of generative AI today. While the impact of model scaling has been extensively studied,…
Position: Key Claims in LLM Research Have a Long Tail of Footnotes
Anna Rogers, Alexandra Sasha Luccioni
Much of the recent discourse within the ML community has been centered around Large Language Models (LLMs), their functionality and potential -- yet not only do we not have a worki…