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Found 4 papers, 1 papers with code
Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts
In this paper, we combine legal, philosophical and technical arguments to show that post-hoc explanation algorithms are unsuitable to achieve the law's objectives.
Learning to Limit Data Collection via Scaling Laws: A Computational Interpretation for the Legal Principle of Data Minimization
FIDO learns to limit data collection based on an interpretation of data minimization tied to system performance.
Reviving Purpose Limitation and Data Minimisation in Data-Driven Systems
This paper determines whether the two core data protection principles of data minimisation and purpose limitation can be meaningfully implemented in data-driven systems.
Operationalizing the Legal Principle of Data Minimization for Personalization
Article 5(1)(c) of the European Union's General Data Protection Regulation (GDPR) requires that "personal data shall be [...] adequate, relevant, and limited to what is necessary in relation to the purposes for which they are processed (`data minimisation')".
