Keywords: data ethics; data transparency; algorithmic accountability; algorithmic fairness; artificial intelligence ethics
The Ethical Processing of MyData track addresses the need for tools and methods helping to raise awareness and understanding of how personal data is collected, stored, and processed with algorithms and artificial intelligence systems. The workshop and sessions will cover practical solutions and clear guidelines, from transparency of personal data processing all the way to maintaining ethics in the design of artificial intelligence systems. In between, it will also touch on issues of algorithmic accountability and fairness, to help assess and then counter algorithmic bias and algorithmic discrimination. This track will explore how far technical solutions can mitigate thorny ethical questions.