A growing range of applications use AI and other autonomous agents to perform tasks that raise social, legal, ethical, empathetic, and cultural (SLEEC) concerns. To support a framework for the consideration of these concerns, we introduce SLEEC-TK, a toolkit for specification, validation, and verification of SLEEC requirements. SLEEC-TK is an Eclipse-based environment for defining SLEEC rules in a domain-specific language with a timed process algebraic semantics. SLEEC-TK uses model checking to identify redundant and conflicting rules, and to verify conformance of design models with SLEEC rules. We illustrate the use of SLEEC-TK for an assistive-care robot.

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.