From the 1 of 9 linked papers with an AI index.
9 papers
Scaling, Lock-In, and Proxy Compliance: A Political Economy of Responsible AI
Florian A. D. Burnat, Brittany I. Davidson
The paper builds a political‑economy model of AI accountability, showing how vendors, deployers, and regulators interact over auditability, mitigation, and monitoring, leading to a…
The Accountability Paradox: How Platform API Restrictions Undermine AI Transparency Mandates
Florian A. D. Burnat, Brittany I. Davidson
Recent application programming interface (API) restrictions on major social media platforms challenge compliance with the EU Digital Services Act [20], which mandates data access f…
Auditing Privacy in Multi-Tenant RAG under Account Collusion
Florian A. D. Burnat
Multi-tenant RAG services often treat the account as the privacy boundary: each account receives an -DP retrieval guarantee against the…
Differentially Private Auditing Under Strategic Response
Florian A. D. Burnat
Regulatory audits of AI systems increasingly rely on differential privacy (DP) to protect training data and model internals. We study audit design when the audited developer can st…
Quotient Semivalues for False-Name-Resistant Data Attribution
Florian A. D. Burnat, Brittany I. Davidson
Data valuation methods allocate payments and audit training data's contribution to machine-learning pipelines; however, they often assume passive contributors. In reality, contribu…
A Benchmark for Strategic Auditee Gaming Under Continuous Compliance Monitoring
Florian A. D. Burnat, Brittany I. Davidson
Continuous post-deployment compliance audits, mandated by emerging regulations such as the EU AI Act and Digital Services Act, create a class of strategic gaming distinct from the…