17.07.16 - 22.07.16, Seminar 16291

Data, Responsibly

Diese Seminarbeschreibung wurde vor dem Seminar auf unseren Webseiten veröffentlicht und bei der Einladung zum Seminar verwendet.

Motivation

Big data technology promises to improve people’s lives, accelerate scientific discovery and innovation, and bring about positive societal change. Yet, if not used responsibly, large-scale data analysis can increase economic inequality, affirm systemic bias, and even destabilize global markets. While the potential benefits of data analysis techniques are well accepted, the importance of using them responsibly -- that is, in a fair, neutral and transparent manner -- is rarely considered.

This seminar will bring together academic and industry researchers from several areas of computer science, including data management, data mining, machine learning, security/privacy, and computer networks, as well as social sciences researchers, data journalists, and those active in government think-tanks and policy initiatives. The goal of the seminar is to assess the state of data analysis in terms of fairness and transparency, present recent research, identify new research challenges, and derive an agenda for computer science efforts in responsible data use.