317 citations · 1.2k across the 26 of their papers we have counts for
28 papers
Toward a Theory of Value in AI Alignment
Andrew Smart, Shazeda Ahmed, Jackie Kay +3
Can AI systems be aligned to human values? The popularization of large language models (LLMs) and multi-modal foundation models has seen a rise in harms spanning from toxic speech…
Big AI's Regulatory Capture: Mapping Industry Interference and Government Complicity
Abeba Birhane, Riccardo Angius, William Agnew +4
Over the past decade, the AI industry has come to exert an unprecedented economic, political and societal power and influence. It is therefore critical that we comprehend the exten…
Playing Games with My Heart: An Evaluation of AI Companion Apps
Maribeth Rauh, Dick A. H. Blankvoort, Matias Duran +6
The use of chatbots for various forms of companionship is growing rapidly, raising a myriad of questions about simulated relationships, emotional dependence, and psychological harm…
Terms of (Ab)Use: An Analysis of GenAI Services
Harshvardhan J. Pandit, Dick A. H. Blankvoort, Adel Shaaban +2
Generative AI services like ChatGPT and Gemini are some of the fastest-growing consumer services. Individuals using such services must accept their terms of use before access, and…
Large Models of What? Mistaking Engineering Achievements for Human Linguistic Agency
Abeba Birhane, Marek McGann
In this paper we argue that key, often sensational and misleading, claims regarding linguistic capabilities of Large Language Models (LLMs) are based on at least two unfounded assu…
The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models
Abeba Birhane, Sepehr Dehdashtian, Vinay Uday Prabhu +1
Scale the model, scale the data, scale the GPU farms is the reigning sentiment in the world of generative AI today. While model scaling has been extensively studied, data scaling a…