Short paper: Models in the dark -- Rectification and erasure under GDPR in ML supply chains
This episode discusses the paper 'Models in the Dark,' examining how complex machine learning supply chains challenge GDPR compliance. The hosts analyze why performing data erasure or rectification is difficult when data is implicitly encoded within model parameters. They conclude that current technical and systemic limitations require interdisciplinary solutions to achieve trustworthy AI.