activity
20242026
most citedBig AI's Regulatory Capture: Mapping Industry Interference and Government Complicity

2 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing cs.CYShow all

6 papers · 1 filter

cs.CY20262 cited

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…

cs.CY2026

Playing Games with My Heart: An Evaluation of AI Companion Apps

Maribeth Rauh, Dick A. H. Blankvoort, Matias Duran +7

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…

cs.CY2026

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…

cs.CY2025

Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling

Victor Ojewale, Ryan Steed, Briana Vecchione +2

Audits are critical mechanisms for identifying the risks and limitations of deployed artificial intelligence (AI) systems. However, the effective execution of AI audits remains inc…

cs.CY2024

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…

cs.CY2024

Debunking Robot Rights Metaphysically, Ethically, and Legally

Abeba Birhane, Jelle van Dijk, Frank Pasquale

In this work we challenge arguments for robot rights on metaphysical, ethical and legal grounds. Metaphysically, we argue that machines are not the kinds of things that may be deni…