Bridging Data, Intelligence, and Trust the Future of Computational Systems and Ethical AI

Abstract

The issue of ethical governance for robotics and artificial intelligence (AI) systems is examined in this paper. As a framework to guide ethical governance in robotics and AI, we present a roadmap that connects several components, such as ethics, standards, regulation, responsible research and innovation, and public engagement. We conclude by suggesting five pillars of sound ethical governance, arguing that ethical governance is crucial to fostering public confidence in robotics and AI. The theme issue "Governing artificial intelligence: ethical, legal, and technical opportunities and challenges" includes this article. In order to establish and preserve public trust and guarantee that robotics and artificial intelligence (AI) systems are created for the benefit of the general public, this paper aims to make the case for a more inclusive, open, and flexible system of governance. It is crucial to increase public confidence in intelligent autonomous systems (IAS). The benefits of IAS to society and the economy will not materialise without that trust. We will lay out a roadmap in this paper. A roadmap serves two purposes: first, it links and charts the various components that make up IAS ethics; second, it gives us a framework to direct ethical governance.