From the 9 of 405 papers with an AI index.
266 citations
- Tsinghua UniversityCN105 papers
- University of Science and Technology of ChinaCN98 papers
- Zhejiang UniversityCN98 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT97 papers
- Beihang UniversityCN96 papers
- Nanjing Normal UniversityCN96 papers
- Peking UniversityCN96 papers
- National Centre for Nuclear ResearchPL95 papers
- South China Normal UniversityCN95 papers
- University of TarapacáCL95 papers
- University of TurinIT95 papers
- Institute of Modern PhysicsCN94 papers
15 papers · 1 filter
Toward Third-Party Assurance of AI Systems: Design Requirements, Prototype, and Early Testing
Rachel M. Kim, Blaine Kuehnert, Alice Lai +3
As Artificial Intelligence (AI) systems proliferate, the need for systematic, transparent, and actionable processes for evaluating them is growing. While many resources exist to su…
Barriers to Evidence in AI-Related Cases and the Privatization of Proof
Sarah H. Cen, Hannah Ismael, Lucia Zheng
Evidence lies at the core of litigation, but it is increasingly difficult to obtain in AI-related disputes. Even when a claimant's position has merit, cases are often settled or di…
Evaluating AI-Generated Images of Cultural Artifacts with Community-Informed Rubrics
Nari Johnson, Deepthi Sudharsan, Hamna +7
Measurement is essential to improving AI performance and mitigating harms for marginalized groups. As generative AI systems are rapidly deployed across geographies and contexts, AI…
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…
Coasting Through Class: Learning Opportunity Loss from Practice Avoidance During Individual Seatwork
Ashish Gurung, Jordan Gutterman, Danielle R. Thomas +3
Measures of disengagement provide insights into unproductive use of learning opportunities. Although measures of active disengagement, such as gaming the system and mind-wandering,…
How Do Data Owners Say No? A Case Study of Data Consent Mechanisms in Web-Scraped Vision-Language AI Training Datasets
Chung Peng Lee, Rachel Hong, Harry H. Jiang +3
The internet has become the main source of data to train modern text-to-image or vision-language models, yet it is increasingly unclear whether web-scale data collection practices…