Regulatory Perspectives on AI in Autonomous Vehicles Global Approaches and Challenges

Abstract

The advent of autonomous cars will necessitate society to confront a new set of hazards, involving socially integrated artificial intelligence that can make complex risk mitigation decisions with profound life-and-death consequences. There are concerns about how AI evaluates decisions, how humans should mediate these conclusions, and what these decisions entail in respect to others because AI decisionality is fundamentally different from human decision-making processes. Consequently, society, policymakers, and end-users must thoroughly comprehend these distinctions. Although AI judgements may be contextualized to specific meanings and considerable obstacles persist regarding the technology of AI decision-making. This is especially pronounced with the analysis of the advantages and disadvantages of AI judgements. Autonomous cars are frequently positioned as important risk reduction technology because of the possible safety advantages. The potential additional hazards that autonomous vehicle driving decisions may pose must be understood. Artificial intelligence will be lacking in some decision-making skills resulting in these new risks referred as decisional limits. This is particularly evident in the inability to annotate and categorize the driving environment according to human values and ethical understanding. In each case, we need to take a wise look at how we conceptualize autonomous vehicles' decision-making ability and how it affects our overall comprehension of the benefits and risks of this technology. This study examines the substantial deficiencies in the existing framing of the debate, particularly with safety debates and the consideration of AI as a moral agent, and proposes many pathways ahead.