This podcast episode delves into the black box nature of AI and its implications in various fields, including criminal justice and decision-making. It explores the case of Glenn, whose parole decision was influenced by a proprietary algorithm with undisclosed weights, raising concerns about potential bias and obstruction of his constitutional rights due to lack of transparency. The episode also discusses the enigmatic nature of large language models like ChatGPT, emphasizing the challenges of understanding their complex decision-making processes while highlighting their risks and limitations. Overall, the episode raises the need for explainable AI and transparency to enhance the safety and reliability of AI systems, while considering human-centered approaches that prioritize user needs and understanding of AI outputs.
