BEWARE-22

• 3-12-22: Thanks everybody on making BEWARE a great workshop this year! We will get in touch soon about the CEUR Proceedings.

• 8-11-22: We are happy to announce that Francesca Alessandra Lisi will be our invited speaker. The title of her talk is "Ethics & Gender for a Responsible Research and Innovation in AI".

• 7-11-22: The preliminary program is now available!

• 1-11-22: Accepted papers are allowed 1 extra page in the Camera Ready version, bibliography included.

• 21-09-22: Due to several requests, the submission deadline has been extended to 2 October 2022!

• 23-07-22: The website is now out!

Aims and Scope

Current AI applications do not guarantee objectivity and are riddled with biases and legal difficulties. AI systems need to perform safely, but problems of opacity, bias and risk are pressing. Definitional and foundational issues about what kinds of bias and risks are involved in opaque AI technologies are still very much open. Moreover, AI is challenging Ethics and brings the need to rethink the basis of Ethics.

In this context, it is natural to look for theories, tools and technologies to address the problem of automatically detecting biases and implementing ethical decision-making. Logic, Logic Programming and formal ontologies have great potential in this area of research, as logic rules are easily comprehensible by humans and favour the representation of causality, which is a crucial aspect of ethical decision-making. Nonetheless, their expressivity and transparency need to be integrated within conceptual taxonomies and socio-economic analyses that place AI technologies in their broader context of application and determine their overall impact.

This workshop addresses issues of logical, ethical and epistemological nature in AI through the use of interdisciplinary approaches. We aim to bring together researchers in AI, philosophy, ethics, epistemology, social science, etc., to promote collaborations and enhance discussions towards the development of trustworthy AI methods and solutions that users and stakeholders consider technologically reliable and socially acceptable.

Sponsors