2024
Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
ICML 2024spotlight
New capabilities in foundation models are owed in large part to massive, widely-sourced, and under-documented training data collections. Existing practices in data collection have led to challenges in tracing authenticity, verifying consent, preserving privacy, addressing representation and bias, re…