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”…

Read more