On privacy and algorithmic fairness of machine learning and artificial intelligence

When big chunks of user data collected on an industrial scale continue to induce constant privacy concerns, the need to seriously address problems of privacy and data protection with respect to data processing is important as never before. Data is increasingly fed into machine learning models (i.e. “artificial intelligence”…

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Shedding light on designing web features with privacy: risks, impact assessments, case study

This post is built around my paper (presented to/at the International Workshop on Privacy Engineering) devoted to privacy assessment in web standards. After the previous one (Battery Status Not Included: Assessing Privacy in W3C Web Standards) this is the next insight in this domain. While I point out the…

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