Responsible AI Governance: Ethical Considerations, Bias Mitigation, and Explainability in AI Systems
Автор: The Foundations of Biomedical Data Science
Загружено: 2024-04-19
Просмотров: 1893
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This presentation explores the critical aspects of Responsible AI Governance, focusing on ethical considerations, bias mitigation strategies, and the importance of explainability in AI systems. It delves into the challenges of ensuring fairness and transparency in algorithmic decision-making processes, emphasizing the need for robust governance frameworks. By examining real-world examples and emerging best practices, this talk aims to equip audiences with insights to navigate the complex landscape of AI ethics and governance effectively.
Dr. Besa Bauta is a Chief Information Officer known for her outstanding leadership in technology infrastructure and cybersecurity. She has made significant contributions to organizations such as JBFCS and the State of Texas DFPS. Dr. Bauta possesses extensive expertise in data management and analytics within the healthcare sector, and is internationally recognized for her proficiency in AI and healthcare. Currently, her research is centered on enhancing data processes and upholding ethical standards in the implementation of AI. Specifically, she is investigating error rates and the occurrence of hallucinogenic behavior in algorithmic systems.
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