Application areas of artificial intelligence (AI) have grown rapidly in recent years. Patent registrations and AI-enabled inventions are increasing and are being adopted by industry as AI applications promise higher performance (Zhang, 2021). Small use cases are growing into larger and more complex systems that directly impact people’s lives. Unlike previous technological advances, far-reaching decisions can be made without direct human intervention. This brings to light a new concern regarding how such systems can be made accountability, a major feature of which is improving the general understandability, or explainability, of such technologies. Explainability of these systems can help define and delineate accountability, and with that responsibility, more clearly.
In our research brief “Towards an Accountability Framework for AI: Ethical and Legal Considerations”, we will discuss major accountability problems for AI systems from a legal and ethical perspective, while proposing practical exemple from the autonomous vehicle field.
