Slow Computing, Wisdom, Fake News, and points between

17.01.2017, 16:00 – 17:00

2017/01/17 16:00-17:00

Speaker: Stephen Marsh | Location: Karolinenplatz 5 (S1|01), Karo 5, Room A02, Darmstadt

Organizer: CROSSING

Abstract

Remember Flash Crashes? Computing is fast, by default. That's good, but there are times when it does to slow down to the speed of thought and consider what the fast decisions might result in, not far down the line. More, it behooves us to think more about the people in the system, and how they can help the system be 'more'. This idea, the concept of Slow Computing, grew from discussions at Dagstuhl a year ago, and gradually began to contribute to explorations of Wisdom in computational systems.

Wisdom, the capacity for contextually guided rational and correct thought in unfamiliar situations, seems exactly the kind of thing we need to bring our computational systems into the human world, where they are going to have to be. This talk presents our thoughts and research on Slow Computing and Wisdom, and ends with a look at how thinking more slowly and integrating trust reasoning into systems might just help us in some of the more pressing challenges of social media.

Short Bio

Steve Marsh is a Trust Scientist and a thought leader in the phenomenon of trust for computational systems. He is an Assistant Professor of Information Systems in the Faculty of Business and Information Technology, University of Ontario Institute of Technology.

His PhD (University of Stirling, 1994) was a seminal work that introduced the first formalisation of the phenomenon of trust (the concept of 'Computational Trust'), and applied it to Multi Agent Systems. As a milestone in trust research, it brought together disparate disciplines and attempted to make sense of a vital phenomenon in human and artificial societies, and is still widely referenced today, being in the top tenth of one percent of Citeseerx's most cited articles in computer science. Steve's current work builds extensively on this model, applying it to network security, Critical Infrastructure Protection, and mobile device security.

His research interests include computational trust, computational wisdom, device comfort, trust management, regret and regret management, and socially adept technologies. He is the Canadian delegate to IFIP Technical Committee 11: Security and Privacy Protection in Information Processing Systems. He is an adjunct professor at UNB (Computer Science) and Carleton University (Systems and Computer Engineering and Cognitive Science).

Steve lives in rural Ontario, Canada with dogs, cats, horses and people, all of whom have their own things to teach us about trust.