A Neutrosophic Framework for Assessing Ethical Considerations in Autonomous Systems

As autonomous systems become an integral part of everyday life, their decision-making processes bring forth significant ethical challenges. To fully harness the potential of these systems, their design and development must adhere to core ethical principles and societal values. This calls for the adoption of innovative methodologies and approaches that embed ethical considerations into the creation of autonomous intelligent systems. Building on prior work evaluating algorithmic ethics through Neutrosophic Logic, this study introduces the Neutrosophic Ethical Integrity Score (NEIS). The NEIS accounts for the complexities and uncertainties inherent in ethical decision-making by integrating three components: Truth (T), representing the ethical validity of actions; Falsehood (F), quantifying potential negative outcomes; and Indeterminacy (U), addressing uncertainties in ethical judgments. Through a case study of autonomous vehicles, this framework demonstrates its capability to assess and address ethical dilemmas. The findings underline its potential to identify and mitigate ethical risks, offering a pathway to the responsible advancement and deployment of autonomous technology.