Specification and Validation of Normative Rules for Autonomous Agents

Sinem Getir Yaman · Charlie Burholt · Maddie Jones · Radu Călinescu · Ana Cavalcanti

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Ethics and Social Impacts of AI Formal Methods in Verification Multi-Agent Systems and Negotiation

Abstract

Abstract A growing range of applications use autonomous agents such as AI and robotic systems to perform tasks deemed dangerous, tedious or costly for humans. To truly succeed with these tasks, the autonomous agents must perform them without violating the social, legal, ethical, empathetic, and cultural (SLEEC) norms of their users and operators. We introduce SLEECVAL, a tool for specification and validation of rules that reflect these SLEEC norms. Our tool supports the specification of SLEEC rules in a DSL [1] we co-defined with the help of ethicists, lawyers and stakeholders from health and social care, and uses the CSP refinement checker FDR4 to identify redundant and conflicting rules in a SLEEC specification. We illustrate the use of SLEECVAL for two case studies: an assistive dressing robot, and a firefighting drone.

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2021An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations 2022From Pluralistic Normative Principles to Autonomous-Agent Rules 2021Reasons and Defeasible Reasoning

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