AISB 2020 Symposium
AISB 2020 Symposium
Computing systems are opaque when their behavior cannot be explained or understood. This is the case when it is difficult to know how or why inputs are transformed into corresponding outputs, and when it is not clear which environmental features and regularities are being tracked. The widespread use of machine learning has led to a proliferation of opaque computing systems, giving rise to the so-called Black Box Problem in AI. Because this problem has significant practical, theoretical, and ethical consequences, research efforts in Explainable AI aim to solve the Black Box Problem through post hoc analysis, or to evade the Black Box Problem through the use of interpretable systems. Nevertheless, questions remain about whether or not the Black Box Problem can actually be solved or evaded, and if so, what it would take to do so.
This symposium brings together researchers from Artificial Intelligence, Cognitive Science, Philosophy, and Law to investigate the nature, causes, and consequences of opacity in different scientific, technical, and social domains, as well as to explore and evaluate recent efforts to overcome opacity in Explainable AI.
The symposium is one of several to be held at the annual convention of the Society for the Study of Artificial Intelligence and Simulation of Behavior (AISB), which takes place on dates TBD, at St Mary’s University in Twickenham, London, UK.
Early-bird registration is now possible until TBD!
The AISB convention schedule has been posted!
The submission deadline for the symposium has passed, and papers have been selected. The symposium schedule will be announced soon.
Among other things, the symposium papers report on novel methods and technical solutions in Explainable AI, present philosophical work on the Black Box Problem and its solution, and/or explore the social, legal, and ethical ramifications of opacity.
The authors of all accepted submissions are requested to submit camera-ready versions to be published in the AISB convention proceedings. All papers and extended abstracts should be formatted according to the ECAI style guides (PDF, LaTeX, or Word).
Camera-ready versions and questions should be directed to the symposium organizers at email@example.com.
Colin Allen, University of Pittsburgh
Cameron Buckner, University of Houston
Nir Fresco, Ben-Gurion University of the Negev
Frank Jäkel, Technical University Darmstadt
Holger Lyre, Otto-von-Guericke University Magdeburg
Saskia Nagel, RWTH Aachen University
Constantin Rothkopf, Technical University Darmstadt