Not Silent Podcast
Not Silent Podcast with Arbana Xharra - Ep 20 - Dr. Vijaytha Muralidharan Artificial intelligence is rapidly transforming healthcare, from diagnosis and treatment recommendations to patient monitoring and medical decision-making. But as AI advances faster than regulation, critical ethical questions are emerging. In this episode of Not Silent Podcast, physician and Clinical AI researcher Dr. Vijaytha Muralidharan discusses the growing risks of algorithmic bias, the dangers facing vulnerable populations, and why children, women, minorities, and lower-income communities are often left out of the data shaping modern healthcare systems. Dr. Muralidharan shares how her internationally recognized ACCEPT-AI research helped influence conversations involving the WHO, CDC, FDA, and global healthcare organizations, while warning that without proper oversight, AI could scale inequality instead of solving it. We discuss: • Algorithm bias in healthcare • AI and misdiagnosis risks • Why vulnerable populations are often excluded • Global inequality in healthcare technology • The legal and ethical challenges of medical AI • Why policymakers are struggling to keep up • The future of AI, ethics, and patient protection Featuring:Dr. Vijaytha Muralidharan Physician | Clinical AI & Digital Health Researcher MBChB, MRCP (U.K.), FHEA (Medical Education) Chapters: 00:00:00 Introduction to AI Transformation and Ethical Risks in Healthcare 00:01:17 Dr. Vijaytha Muralidharan’s Journey: From the NHS to Kenya 00:03:31 How Artificial Intelligence is Used in Medicine Today 00:04:17 The ACCEPT-AI Framework: Safeguarding Children in Healthcare Tech 00:07:01 Global Inequality and Geographical Bias in Tech Development 00:08:39 Understanding Algorithmic Bias and its Real-World Dangers 00:09:53 How Biased Algorithms Negatively Impact Patients of Color and Vulnerable Groups 00:12:01 Raising Consumer and Builder Awareness for Ethical AI 00:16:16 The Failure of Policymakers and the Need for Community Action 00:18:03 The Global Policy Impact of ACCEPT-AI Research 00:20:50 The Biggest Ethical Risks of Moving Too Fast with Medical Tech 00:22:08 Case Studies: Algorithm Failures in Dermatology and Pediatric X-Rays 00:23:13 Patient Rights and the Value of Clinical Augmentation 00:25:30 Comparing Data Privacy and Consent Laws Between the US and EU 00:27:10 How Communities and Families Can Advocate for Safe AI 00:29:40 Legal Accountability and Misdiagnosis Risks in Medical AI 00:33:00 Incorporating Global South Perspectives into the Tech Conversation #AIInHealthcare #MedicalAI #AIEthics #NotSilentPodcast #AlgorithmBias #HealthcareInequality #TechRegulation #WomenInSTEM
20 episodios
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