| Michael Rovatsos (mrovatso) |
| Fri 16 Sep 2016, 15:00 - 16:00 |
| Informatics Forum (IF-4.31/4.33) |
If you have a question about this talk, please contact: Sofia Ceppi (sceppi)
In this talk, I'll introduce the unBias project, a collaboration between Nottingham, Oxford, and Edinburgh that aims to emancipate users against algorithmic biases for a trusted digital economy, with a particular focus on young people. Contrary to public opinion, young people care about their personal data and want a digital world more transparent, a digital world they can trust. For example, little is known about how Amazon is able to tailor advertisements and recommend products, or how Facebook decides which news Facebook users may be more inclined to read.
Working closely together with young "digital natives", we will study their attitudes and main concerns, and identify youth-led solutions for teaching critical thinking toward digital information systems. The main envisioned outcome of the project will be a 'fairness toolkit' that will include educational materials and resources co-designed to support youth understanding about online environments as well as raise awareness among online providers about the concerns and rights of young internet users. The talk will be a fairly high-level overview of this project that has only just started, together with some more conceptual discussion of fundamental problems in data-driven decision algorithmic making.