Source: SSRN

The SSRN paper explores the growing use of artificial intelligence (AI) in handling discrimination cases, particularly as both a tool for detecting bias and a subject of litigation itself. The research examines how AI-driven analytics can identify patterns of discrimination in hiring, promotions, or pay disparities. However, it also delves into the challenges of using AI-generated evidence in court, such as questions about algorithmic transparency and the potential for embedding biases in AI systems.

The paper discusses prominent case studies and highlights the role of experts in interpreting AI findings during trials. It also raises concerns about the ethical use of AI, emphasizing the need for clear legal frameworks to ensure fair trials and safeguard against misuse. The research concludes that while AI has the potential to advance justice in discrimination cases, its limitations and risks necessitate cautious and well-regulated application in legal contexts.