Скачать с ютуб Can AI Be Truly Fair? A Deep Dive into Ethics and Bias with Dr. Deepak Khazanchi в хорошем качестве

Can AI Be Truly Fair? A Deep Dive into Ethics and Bias with Dr. Deepak Khazanchi

In this conversation, Dr. Deepak Khazanchi discusses the evolving landscape of AI education, emphasizing the need for multidisciplinary approaches that integrate ethics, philosophy, and technical skills. He highlights the importance of fairness in AI development, the necessity of explainability in AI outcomes, and the role of human oversight in mitigating biases and unintended consequences. The discussion also touches on the rapid advancements in AI technology and the challenges they present in terms of responsibility and governance. In this conversation, Dr. Deepak Khazanchi discusses the intersection of AI, education, and research, highlighting the challenges faced by educational institutions in accessing computational resources for AI research. He emphasizes the importance of supporting teachers and addressing the digital divide that affects students' access to technology. The conversation also touches on the unintended consequences of AI, the need for responsible AI development, and the evolving nature of work in the age of automation. Takeaways: • AI education must adapt to rapid technological changes. • Multidisciplinary approaches are essential for AI education. • Fairness in AI requires equitable outcomes for all. • Explainability in AI is crucial for user trust. • Implicit biases can influence AI development processes. • Human oversight is necessary to ensure responsible AI use. • AI is fundamentally based on statistical methods. • Understanding AI's unintended consequences is vital. • Collaboration across disciplines enhances AI education. • The future of AI involves integrating ethics into technology. • AI can enhance research capabilities in educational institutions. • There is a significant need for better computational resources in research. • Supporting teachers is crucial for the future of education. • The digital divide remains a pressing issue in education. • AI will not completely replace human jobs, but will change them. • Unintended consequences of AI must be considered in development. • Transparency and fairness in AI systems are essential. • Education must adapt to the changing nature of work due to AI. • Access to technology is critical for equitable education. • AI can be a force for good if developed responsibly. Links for pages mentioned in the episode: https://spectrum.ieee.org/ieee-usa-ai... https://www.artificial-intelligence-a... https://digitaldemocracy.calmatters.o... https://unsceb.org/principles-ethical... Chapters: 00:00:01 - Introduction 00:00:19 - Guest Introduction: Dr. Deepak Kazanchi 00:02:12 - Discussion on AI Degree at UNO 00:04:19 - The Future of Education in AI 00:07:51 - AI's Development Philosophy 00:10:00 - Responsibility in AI Development 00:15:11 - AI and Ethics 00:15:35 - Transparency and Explainability in AI 00:16:17 - Fairness in AI Development 00:17:20 - AI and Misinformation 00:18:02 - AI and Representation 00:18:40 - AI and Bias 00:19:16 - AI and Truth 00:19:52 - AI and Fairness 00:20:47 - AI and Information Retrieval 00:23:33 - AI and Procedural Fairness 00:25:18 - AI and Implicit Bias 00:27:35 - AI and Governance 00:28:32 - AI and Unintended Consequences 00:30:47 - AI in Medical Research 00:31:21 - Challenges in AI Research and Development 00:33:40 - AI in Infrastructure Health 00:37:00 - AI Education and Transparency 00:38:39 - AI and Education Funding 00:39:22 - The Importance of Education 00:42:24 - AI in Personalized Education 00:43:10 - The Digital Divide in Education 00:46:53 - Khan Academy and Khan Amigo: Free Educational Resources 00:48:17 - Addressing the Digital Divide 00:48:42 - Unintended Consequences of AI Development 00:50:01 - Advice for Businesses Implementing AI 00:56:51 - AI and Job Replacement 01:01:08 - Conclusion and Resources