Avani Tungare, Symbiosis Law School, Pune
ABSTRACT
The law of evidence has undergone a radical change with the introduction of Artificial Intelligence (AI) into the criminal court system, presenting both benefits and challenges. AI has completely changed the way that evidence is gathered and examined. Examples of these technologies include automated document processing, facial recognition, and predictive policing. This study examines the definition of artificial intelligence (AI) and the standards used to identify evidence as AI-generated. It looks at how AI is now used in criminal justice, emphasizing how it affects accountability and the problems that come with it. The paper also discusses the objections raised against AI's application in law enforcement, in particular the worries over potential hazards and ingrained prejudices.
The paper also examines the requirements for AI-generated evidence's admissibility, evaluating how current legal systems either support or need these technological developments. The goal of the project is to improve the validity and equity of AI-based evidence in court processes by assessing the benefits and limitations of AI-driven evidence and suggesting innovative procedural protections. The article aims to further the current conversation on striking a balance between innovation and justice in a changing legal environment by providing this thorough analysis.
Keywords: Evidence, Artificial Intelligence, admissibility, criminal justice
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