ISSUES IN ETHICAL
Data science holds incredible promise of improving people's lives, accelerating scientific discovery and innovation, and bringing about positive societal change. Yet, if not used responsibly, this technology can propel economic inequality, destabilize global markets and affirm systemic bias. In this talk, we consider issues such as violation of data privacy, or biases in data analysis.
We discuss desirable properties in data analysis such as fairness, transparency, or diversity. A goal of the talk is to draw the attention of the computer science community to the important emerging subject of responsible data management and analysis. We will present our perspective on the issue, and motivate research directions.