HOW TO PROVE ARTIFICIAL INTELLIGENCE OUTPUT ERROR CASES

Governments and corporations will employ AI (Artificial Intelligence) in critical scenarios such as managing autonomous military systems, overseeing the electrical grid, executing stock trades, and operating vehicles autonomously. AI methodologies for such applications must exhibit resilience to both known unknowns ambiguous aspects of the environment that the computer can reason about and unknown unknowns those aspects that the system's models fail to consider. This article delineates eight robustness-related issues under investigation by the AI research community, after a discussion on contemporary achievements in AI. While these notions provide a solid foundation, we must concentrate more on the challenges of tackling both known and unknown unknowns. These issues are compelling as they tackle the fundamental question of how constrained systems may survive and thrive in a perilous and complex environment. The researcher reviewed the latest laws in the Arab world, which a special legislation is issued by Dubai Passersby (Law Regulating the Operation of Self-Driving Vehicles in the Emirate of Dubai No. (9) of 2023 AD, published in the Official Gazette, and effective after (90) ninety days from the date of its publication), as this law essentially specified that the responsibility lies with the operator and thus raising the evidence against the injured party regarding self-driving vehicles, and the operator is any person authorized to practice the activity, and includes the owner of the self-driving vehicle, but this legislation was limited as it placed the responsibility on the operator without addressing the details, which made us recommend the legislator in this research paper to look at each case alone and its circumstances, as well as to make insurance mandatory for all artificial intelligence robots as one of the solutions, as well as to develop the legislation specific to the Emirate of Dubai to separate the responsibility, so that it is not necessarily limited to the operator.