Algorithmic Bias in Artificial Intelligence Systems and its Legal Dimensions.

Artificial intelligence algorithms form the foundation of modernintelligent systems, enabling machines to learn, infer, and make decisionsindependently. These algorithms have achieved significant progress due tothe abundance of data and increased computational power, enabling themto solve many complex problems. Despite these benefits, such systems faceethical and legal challenges related to algorithmic bias and its impact onmarginalized groups. This necessitates strict legislative interventions.For these reasons and others, this research focuses on the legal and ethicalchallenges associated with algorithmic bias in artificial intelligence systems.This issue is one of the most prominent challenges facing these modernsystems. It adopts an integrated scientific approach that combines bothdescriptive and analytical methods. It can also be said research adopted amixed methodology that combines the quantitative approach by examiningprevious statistics from reliable sources and the qualitative approach basedon analyzing information and correlating results. The research examines thedevelopment of artificial intelligence and the effects of algorithmic bias onmarginalized groups, such as women and minorities. The research clarifies the nature and causes of algorithmic bias. It highlights the danger of algorithmic bias to individuals and societies. It also sheds light on the legislative challenges related to algorithmic bias. Additionally, the research reviews global legislations that attempt to address this challenge and examines some Arab legislation, particularly Omani legislation. The research reached several key findings, including the identification of algorithmic bias. This bias refers to unfair discrimination in intelligent system decisions based on factors such as gender, race, or religion. Algorithmic bias can reinforce patterns of racial discrimination due to distorted data or flawed algorithm design. European law requires platforms to assess the risks associated with algorithms, including bias. They are also required to submit annual reports to an independent oversight system. As for Arab legislation, the UAE has established a charter for the development and use of artificial intelligence, focusing on algorithmic bias. Meanwhile, Oman explicitly criminalizes all forms of racial discrimination. The research recommends increasing academic research on the legal frameworks to address the challenges of artificial intelligence and justice. It calls on research centers and decision-makers to create a unified Arab law that addresses algorithmic bias. It also encourages updating current laws to keep pace with technological advancements. Additionally, it urges the Omani legislator to introduce specific laws or clear legislative provisions regarding algorithmic bias.