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المحتوى المقدم من Dan Dodson. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Dan Dodson أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
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Episode 16-Cybersecurity in the Age of AI and Automated Medicine. With Dr. Ali Dehghantanha

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المحتوى المقدم من Dan Dodson. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Dan Dodson أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

What happens when artificial intelligence starts making healthcare decisions faster than humans can review them? Dr. Ali Dehghantanha’s Professor and Canadian Research Chair in Cybersecurity and Threat Intelligence, takes us on a fascinating journey through the evolving landscape of healthcare cybersecurity where self-healing AI systems may soon become our frontline defenders.

The cybersecurity battlefield shifts constantly. From database security to cloud protection to today's AI systems, Dr. Dehghantanha explains why "the only thing constant in cybersecurity is change." This rapid evolution creates unique challenges for healthcare organizations trying to protect patient data while embracing transformative technologies. As healthcare increasingly relies on AI for clinical decision support, the cybersecurity stakes have never been higher.

Dr. Dehghantanha’s groundbreaking research focuses on self-healing AI systems that automatically detect and repair vulnerabilities without human intervention. This capability becomes critical in healthcare environments where AI analyzes clinical data and makes treatment recommendations at speeds beyond human oversight capabilities. The self-healing component provides essential guardrails against potentially harmful decisions that exceed the system's design parameters.

Cultural and socioeconomic factors significantly influence AI adoption in healthcare. Less-regulated regions and underserved communities often embrace AI healthcare solutions more readily when traditional medical resources are scarce. This accelerates adoption but raises critical questions about verification and potential exploitation by adversaries. As patients increasingly trust AI-generated medical advice, these systems become prime targets for sophisticated cyberattacks that could manipulate clinical recommendations.

Join us for this thought-provoking conversation about the delicate balance between AI innovation and security in healthcare. Dr. Ali challenges us to consider not just how we implement AI, but how we protect these systems when they become responsible for life-or-death decisions. The future of healthcare cybersecurity lies at this intersection of human expertise, artificial intelligence, and robust security frameworks.

  continue reading

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iconمشاركة
 
Manage episode 507085469 series 3652937
المحتوى المقدم من Dan Dodson. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Dan Dodson أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

What happens when artificial intelligence starts making healthcare decisions faster than humans can review them? Dr. Ali Dehghantanha’s Professor and Canadian Research Chair in Cybersecurity and Threat Intelligence, takes us on a fascinating journey through the evolving landscape of healthcare cybersecurity where self-healing AI systems may soon become our frontline defenders.

The cybersecurity battlefield shifts constantly. From database security to cloud protection to today's AI systems, Dr. Dehghantanha explains why "the only thing constant in cybersecurity is change." This rapid evolution creates unique challenges for healthcare organizations trying to protect patient data while embracing transformative technologies. As healthcare increasingly relies on AI for clinical decision support, the cybersecurity stakes have never been higher.

Dr. Dehghantanha’s groundbreaking research focuses on self-healing AI systems that automatically detect and repair vulnerabilities without human intervention. This capability becomes critical in healthcare environments where AI analyzes clinical data and makes treatment recommendations at speeds beyond human oversight capabilities. The self-healing component provides essential guardrails against potentially harmful decisions that exceed the system's design parameters.

Cultural and socioeconomic factors significantly influence AI adoption in healthcare. Less-regulated regions and underserved communities often embrace AI healthcare solutions more readily when traditional medical resources are scarce. This accelerates adoption but raises critical questions about verification and potential exploitation by adversaries. As patients increasingly trust AI-generated medical advice, these systems become prime targets for sophisticated cyberattacks that could manipulate clinical recommendations.

Join us for this thought-provoking conversation about the delicate balance between AI innovation and security in healthcare. Dr. Ali challenges us to consider not just how we implement AI, but how we protect these systems when they become responsible for life-or-death decisions. The future of healthcare cybersecurity lies at this intersection of human expertise, artificial intelligence, and robust security frameworks.

  continue reading

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