{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/69fc41fd669475c1079ad214/6a531e5ad2dde6b09a7dd8fc?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Justice in the Machine: AI Accountability and Due Process [Episode-35]","description":"<p>This episode examines the growing role of artificial intelligence in the criminal justice system and the ethical challenges that accompany its adoption. Learn how AI-powered tools such as predictive policing, risk assessment, and sentencing algorithms can improve efficiency while also raising serious concerns about bias, transparency, accountability, and due process. The discussion explores the \"black box\" problem, where opaque AI decisions make it difficult for defendants to understand or challenge legal outcomes, potentially affecting the right to a fair trial. Discover why independent audits, explainable AI, regulatory oversight, and human-centered governance are essential to ensuring that technological innovation strengthens—rather than undermines—justice, equality, and public trust.</p>","author_name":"Jaina Shah"}