Regulating AI: Innovate Responsibly Sanjay Puri

Striking a balance between artificial intelligence innovation and regulation is crucial for leveraging its benefits while safeguarding against risks. On this episode, I’m joined by Congressman Buddy Carter, U.S. Representative for Georgia's 1st District, to explore the complexities of AI regulation and its impact on healthcare and other sectors.

Key Takeaways:

(01:48) President Biden's Executive Order on AI aims to set new standards.
(04:34) AI's potential in healthcare, including telehealth and drug development.
(05:47) Legal implications for doctors not using available AI technologies.
(07:55) AI could speed up the drug development process.
(10:52) The need for constantly updated AI standards.
(11:56) Debate on creating a separate regulatory body for AI.
(14:03) Importance of including diverse voices in AI regulation.
(16:57) Federal preemption of state and local AI laws to avoid regulatory patchwork.

Resources Mentioned:

Buddy Carter - https://www.linkedin.com/in/buddycarterga/
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 - https://www.europarl.europa.eu/topics/en/article/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence
Section 230 of the Communications Decency Act - https://www.eff.org/issues/cda230





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#AIRegulation #AISafety #AIStandard

On this episode, I am joined by Daniel Colson, Executive Director of the AI Policy Institute, to consider some pressing issues. Daniel shares his insights into the risks, opportunities and future directions of AI policy.

Key Takeaways:

(02:15) Daniel analyzes President Biden's recent executive order on AI.
(04:13) Differentiating risks in AI technologies and their applications.
(08:52) Concerns about the open-sourcing of AI models and abuse potential.
(16:45) The importance of inclusive discussions in AI policymaking.
(19:25) Challenges and risks of regulatory capture in the AI sector.
(26:45) Balancing innovation with regulation.
(33:14) The potential for AI to transform employment and the economy.
(37:52) How AI's rapid evolution challenges our role as the dominant thinkers and prompts careful deliberation on its impact.

Resources Mentioned:

Daniel Colson - https://www.linkedin.com/in/danieljcolson/
AI Policy Institute - https://www.linkedin.com/company/aipolicyinstitute/
AI Policy Institute | Website - https://www.theaipi.org/




#AIRegulation #AISafety #AIStandard

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




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

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