Burkhard Schafer

TL;DR: The core opportunities and risks of AI for society are introduced; a synthesis of five ethical principles that should undergird its development and adoption are presented; and 20 concrete recommendations are offered to serve as a firm foundation for the establishment of a Good AI Society.

TL;DR: The workshop brought together a multidisciplinary group of scholars to consider barriers to legitimate and effective algorithmic governance and the research methods needed to address the nature and impact of specific barriers, and produced a framework and research agenda for those who are concerned aboutgorithmic governance.

TL;DR: Recall within the context of precision is proposed as a better fit to law than the 'total recall' model of the past, wherein conceptual and contextual search are combined to improve retrieval performance for both parties in a dispute.

TL;DR: A novel knowledge driven methodology for crime scenario construction and it presents a decision support system based on it, which works by storing the component events of the scenarios instead of entire scenarios and by providing an algorithm that can instantiate and compose these component events into useful scenarios.

TL;DR: This paper presents a system for creating scenario spaces from given evidence, based on an integrated application of techniques for compositional modelling and Bayesian network-based evidence evaluation, and methods of analysis provided by the use of entropy to exploit the synthesized scenario spaces in order to prioritize investigating actions and hypotheses.