Ethical Considerations in Predictive Analytics - Data Privacy, Bias Mitigation, and Accountability

Explore a 28-minute conference talk from Data Science Conference Europe 2023 that examines the critical intersection of predictive analytics with essential ethical considerations. Delve into three fundamental aspects: data privacy protection, bias mitigation in algorithmic systems, and maintaining accountability in analytical processes. Learn effective strategies for protecting sensitive information while implementing predictive analytics, discover methods to identify and reduce bias in automated decision-making systems, and understand approaches for maintaining transparency and accountability in data science practices. Delivered by Bunmi Akinremi in Belgrade, the presentation offers practical insights for data professionals seeking to balance analytical power with ethical responsibility.