Title: Enhancing Privacy Through Ethical Engineering
Speaker: Courtney Bowman, Palantir Technologies
Date: December 4
Ethical data science goes beyond the principles of responsible algorithmic design. Data scientists building advanced applications for research, commercial, government, and even philanthropic uses must consider the full data lifecycle and build information systems that protect data sensitivities through all phases, not just in algorithmic processing. Primarily through the lens privacy concerns, this talk examines the history of technological developments in tension with privacy norms and addresses the need for ethical systems architectures. A set of guiding practices for privacy-protective systems design will be presented followed by an interactive case study to provide an opportunity to apply these principles.
Courtney Bowman has been working in the data science and analytics space over a decade. Bowman spent several years at Google working on quantitative analytics, auction design, and pricing strategy, before joining Palantir Technologies in 2010 to lead its in-house Privacy and Civil Liberties Engineering team. In his current role, he works extensively with engineers, policy makers, privacy advocates, academics, and other industry representatives to explore privacy, civil liberties, and data protection challenges in data analytics technologies. Bowman has earned degrees in Physics and Philosophy at Stanford University.