In order to guarantee the accountability of recommendation and information filtering systems, society needs to be able to determine whether they comply with ethical and legal requirements. The latest English-language publication of the experts in the consortium “ExamAI – Feasibility of Testing and Auditing of AI-based Systems” focuses on the conditions that must be met to allow black box analyses of recommendation systems based on an application on Facebook’s News Feed. The German Informatics Society, the ExamAI-consortium leader, invites you to read: Why Do We Need to Be Bots? What Prevents Society from Detecting Biases in Recommendation Systems.
