Responsible Data Management - Ethics and Legal Compliance in Data-Driven Systems

Watch a keynote talk from SEBD 2023 (31st Symposium on Advanced Database System) where Dr. Julia Stoyanovich, Director of the Center for Responsible AI at New York University, explores the critical intersection of ethics and data-driven algorithmic systems. Learn how decisions made during data collection and preparation significantly impact system robustness, fairness, and interpretability, going beyond traditional fair and interpretable machine learning approaches. Discover why responsibility in AI systems extends beyond deployment, incorporating technical insights alongside policy considerations, educational initiatives, and public outreach efforts. Gain valuable perspectives from an expert who has authored over 100 academic publications, contributed to major news outlets, and actively works to make "Responsible AI" synonymous with "AI" through research, education, and technology regulation. The presentation emphasizes the importance of considering the complete data lifecycle and system development process in creating ethically sound algorithmic solutions.