BEWARE-26

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, Computational Logic 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.

Co-organized by

• PHILTECH Research Center (UNIMI)

• LUCI Lab (UNIMI)

• CRC - HCAI Research Center (UNIMI)

• Italian Society for the Ethics of Artificial Intelligence - SipEIA

• CILA Research Center (UNIBA)

• HuME Doctoral Program (IUSS Pavia, University of Milan, Scuola Normale Superiore di Pisa)

• EThOS Research Center (UNIVR)

Acknowledgements

• The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.