From the 1 of 7 linked papers with an AI index.
7 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…
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…
Measuring Evaluation-Context Divergence in Open-Weight LLMs: A Paired-Prompt Protocol with Pilot Evidence of Alignment-Pipeline-Specific Heterogeneity
Florian A. D. Burnat, Brittany I. Davidson
Safety benchmarks are routinely treated as evidence about how a language model will behave once deployed, but this inference is fragile if behavior depends on whether a prompt look…
Gaming the Metric, Not the Harm: Certifying Safety Audits against Strategic Platform Manipulation
Florian A. D. Burnat, Brittany I. Davidson
Online-safety regulation under the UK Online Safety Act and the EU Digital Services Act increasingly treats scalar metrics as compliance evidence. Once announced, such a metric als…