Source: SSRN

SSRN presents a research paper analyzing the legal challenges posed by bias in artificial intelligence systems, focusing on how biases in AI algorithms can lead to discrimination in areas such as employment, credit scoring, and law enforcement. The paper highlights the need for clear legal standards to address AI bias, including transparency requirements, audit mechanisms, and liability for AI-induced discrimination. Legal experts argue that existing anti-discrimination laws may be inadequate to handle the complexities of AI bias, calling for new regulations that explicitly cover algorithmic discrimination.

The research suggests that comprehensive AI governance frameworks are essential to mitigate bias risks, emphasizing the role of regulatory bodies in overseeing AI practices. As AI adoption grows, ensuring that AI systems are both legally compliant and ethically responsible will be crucial to preventing discrimination and maintaining public trust.