Regulating AI: Innovate Responsibly Sanjay Puri

On this episode of Regulating AI, I sit down with Professor Effy Vayena, Chair of Bioethics and Associate Vice President of Digital Transformation and Governance of the Swiss Federal Institute of Technology (ETH) and Co-Director of Stavros Niarchos Foundation Bioethics Academy. Together we delve deep into the world of AI, its ethical challenges, and how thoughtful regulation can ensure equitable benefits.

Key Takeaways:

(03:45) The importance of developing and using technology in ways that meet ethical standards.
(10:31) The necessity of agile regulation and continuous dialogue with tech developers.
(13:19) The concept of regulatory sandboxes for testing policies in a controlled environment. 
(17:07) Balancing AI innovation with patient privacy and data security.
(24:14) Strategies to ensure AI benefits reach marginalized communities and promote health equity.
(35:10) Considering the global impact of AI and the digital divide.
(41:06) Including and educating the public in AI regulatory processes.
(44:04) The importance of international collaboration in AI regulation.

Resources Mentioned:

Professor Effy Vayena - https://www.linkedin.com/in/effy-vayena-467b1353/
Swiss Federal Institute of Technology (ETH) - https://www.linkedin.com/school/eth-zurich/
ETH Zurich - https://ethz.ch/en.html
European Union’s AI Act - https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai
U.S. FDA guidelines on AI in medical devices - https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-software-medical-device




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#AIRegulation #AISafety #AIStandard

The integration of AI into healthcare is not only transforming the way we diagnose, treat and manage patient care but is also redefining the roles of doctors. Join me as I sit down with Dr. Brennan Spiegel to explore how AI is revolutionizing the medical field. Brennan is a Professor of Medicine and Public Health; George and Dorothy Gourrich Chair in Digital Health Ethics; Director of Health Services Research; Director, Graduate Program in Health Delivery Science; Cedars-Sinai Site Director, Clinical and Translational Science Institute; and Editor-in-Chief, Journal of Medical Extended Reality.

Key Takeaways:

(03:00) Balancing AI benefits with concerns about algorithmic bias and fairness.
(05:47) Evaluating AI for implicit bias in mental health applications.
(08:03) The need for standardized guidance and rigorous oversight in AI applications.
(10:03) Ensuring data transmitted between AI providers and health systems is HIPAA compliant.
(16:42) The evolving role of doctors in the context of AI integration.
(21:22) The importance of traditional knowledge alongside AI in medical practice.
(24:44) International collaboration and standardized approaches to AI in healthcare.

Resources Mentioned:

Dr. Brennan Spiegel - https://www.linkedin.com/in/brennan-spiegel-md-mshs-2938a4142/
Cedars-Sinai - https://www.linkedin.com/company/cedars-sinai-medical-center/
Brennan Spiegel on X - https://x.com/BrennanSpiegel




Thanks for listening to the Regulating AI: Innovate Responsibly podcast. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.




#AIRegulation #AISafety #AIStandard

In this episode, I welcome Carmel Shachar, Faculty Director of the Health Law and Policy Clinic and Assistant Clinical Professor of Law at Harvard Law School Center for Health Law and Policy Innovation. We delve into how AI is shaping the future of healthcare, its profound impacts and the vital importance of thoughtful regulation. The interplay between AI and healthcare is increasingly critical, pushing the boundaries of medicine while challenging our regulatory frameworks.


Key Takeaways:

(00:00) AI’s challenges in balancing patient data needs.
(03:09) The revolutionary potential of AI in healthcare innovation.
(04:30) How AI is driving precision and personalized medicine.
(06:19) The urgent need for healthcare system evolution.
(09:00) Potential negative impacts of poorly implemented AI.
(12:00) The unique challenges posed by AI as a medical device.
(15:10) Minimizing regulatory handoffs to enhance AI efficacy.
(18:00) How AI can reduce healthcare disparities.
(20:00) Ethical considerations and biases in AI deployment.
(25:00) AI’s growing impact on healthcare operations and management.
(30:00) Enhancing patient-physician communication with AI tools.
(39:00) Future directions in AI and healthcare policy.

Resources Mentioned:

Carmel Shachar - https://www.linkedin.com/in/carmel-shachar-7b3a8525/
Harvard Law School Center for Health Law and Policy Innovation - https://www.linkedin.com/company/harvardchlpi/
Carmel Shachar's Faculty Profile at Harvard Law School - https://hls.harvard.edu/faculty/carmel-shachar/
Precision Medicine, Artificial Intelligence and the Law Project - https://petrieflom.law.harvard.edu/research/precision-medicine-artificial-intelligence-and-law
Petrie-Flom Center Blog - https://blog.petrieflom.law.harvard.edu/




Thanks for listening to the Regulating AI: Innovate Responsibly podcast. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.



#AIRegulation #AISafety #AIStandard

On this episode, I welcome Ari Kaplan, Head Evangelist of Databricks, a leading data and AI company. We discuss the intricacies of AI regulation, how different regions, like the US and EU, are addressing AI’s rapid development, and the importance of industry perspectives in shaping effective legislation.

Key Takeaways:

(04:42) Insights on the rapid advancements in AI technology and legislative responses.
(10:32) The role of tech leaders in shaping AI policy and bridging knowledge gaps.
(13:57) Open-source versus closed-source AI — Ari Kaplan advocates for transparency.
(16:56) Ethical concerns in AI across different countries.
(21:21) The necessity for both industry-specific and overarching AI regulations.
(25:09) Automation’s potential to improve efficiency also raises employment risk.
(29:17) A balanced, educational approach in the age of AI is crucial.
(32:45) Risks associated with generative AI and the importance of intellectual property rights.

Resources Mentioned:

Ari Kaplan - https://www.linkedin.com/in/arikaplan/
Databricks - https://www.linkedin.com/company/databricks/
Unity Catalog Governance Value Levers - https://www.databricks.com/blog/unity-catalog-governance-value-levers
President Biden’s Executive Order on AI - https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/
EU AI Act Information - https://www.europarl.europa.eu/topics/en/article/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence




Thanks for listening to the Regulating AI: Innovate Responsibly podcast. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.




#AIRegulation #AISafety #AIStandard

In this episode, I welcome Nicolas Kourtellis, Co-Director of Telefónica Research and Head of Systems AI Lab at Telefónica Innovación Digital, a company of the Telefonica Group. Nicolas shares his expert insights on the pivotal role of AI in revolutionizing telecommunications, the challenges of AI regulation and the innovative strides Telefónica is making toward sustainable and ethical AI deployment. 

Imagine a world where every device you own not only connects seamlessly but also intelligently adapts to your needs. This isn’t just a vision for the future; it’s the reality AI is creating today in telecommunications.

Key Takeaways:

(00:00) AI research focuses and applications in telecommunications.
(03:24) AI’s role in optimizing network systems and enhancing user privacy is critical.
(06:00) How Telefónica uses AI to improve customer service through AI chatbots.
(12:03) The ethical considerations and sustainability of AI models.
(16:08) Democratizing AI to make it accessible and beneficial for all users.
(18:09) Designing AI systems with privacy and security from the start.
(27:00) The challenges and opportunities AI presents for the workforce.
(30:25) The potential of 6G and its reliance on AI technologies.
(32:16) The integral role of AI in future technological advancements and network optimizations.
(39:35) The societal impacts of AI in telecommunications.

Resources Mentioned:

Nicolas Kourtellis - https://www.linkedin.com/in/nicolas-kourtellis-3a154511/
Telefónica Innovación Digital - https://www.linkedin.com/company/telefonica-innovacion-digital/
Telefonica Group - https://www.linkedin.com/company/telefonica/
You can find all of Nicolas’ publications on his Google Scholar page: http://scholar.google.com/citations?user=Q5oWwiQAAAAJ 




Thanks for listening to the Regulating AI: Innovate Responsibly podcast. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.



#AIRegulation #AISafety #AIStandard

On this episode of the Regulating AI Podcast, I'm joined by Dr. Irina Mirkina, Innovation Manager and AI Lead at UNICEF's Office of Innovation. An AI strategist, speaker, and expert for the European Commission, Dr. Mirkina brings a wealth of experience from academia, the private sector, and now, the humanitarian sector. Today’s discussion focuses on AI for social good.


Key Takeaways:

(03:31) The role of international organizations like UNICEF in shaping global AI regulations.
(07:06) Challenges of democratizing AI across different regions to overcome the digital divide.
(10:28) The importance of developing AI systems that cater to local contexts.
(13:23) The transformative potential and limitations of AI in personalized education.
(16:37) Engaging vulnerable populations directly in AI policy discussions.
(20:47) UNICEF's use of AI in addressing humanitarian challenges.
(25:10) The role of civil society in AI regulation and policymaking.
(33:50) AI's risks and limitations, including issues of open-source management and societal impact.
(38:57) The critical need for international collaboration and standardization in AI regulations.

Resources Mentioned:

Dr. Irina Mirkina - https://www.linkedin.com/in/irinamirkina/
UNICEF Office of Innovation - https://www.unicef.org/innovation/
Policy Guidance on AI for Children by UNICEF - https://www.unicef.org/globalinsight/media/2356/file/UNICEF-Global-Insight-policy-guidance-AI-children-2.0-2021.pdf




Thanks for listening to the Regulating AI: Innovate Responsibly podcast. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.



#AIRegulation #AISafety #AIStandard