In this episode of the RegulatingAI Podcast, we have Prof. Ramayya Krishnan, Dean of Heinz College at Carnegie Mellon University and a distinguished voice in AI policy and governance. With expertise in technology, public policy, and societal impact, Prof. Krishnan explores the delicate balance between AI innovation and regulation, the role of AI in shaping public policy, and the governance frameworks needed to ensure responsible AI deployment. 🎙️ Key Takeaways: ✅ Regulating AI Without Killing Innovation – How can policymakers create guardrails without slowing down progress? ✅ AI & Public Trust – Why ethical AI frameworks are essential for societal acceptance. ✅ Bridging the AI Policy Gap – How global collaboration can create effective AI governance models. ✅ The Role of Universities in AI Governance – How academia contributes to responsible AI development. 🔔 Watch now to gain exclusive insights from one of AI policy’s leading experts! Resources Mentioned: www.linkedin.com/in/ramayya-krishnan-2b3a6812 

Listen our latest Podcast on the RegulatingAI Podcast with Nobel Laureate Brian Schmidt as he talks about the AI’s regulatory landscape, and the lessons science can teach us about responsible innovation. In this episode, he gives his insights on: 🔹 The current state of AI regulation—why it’s lagging behind innovation. 🔹 The ethical dilemmas of self-regulation in tech. 🔹 Lessons from physics on managing disruptive technologies. 🔹 Australia’s regulatory stance on AI vs. global approaches. 🔹 The balance between innovation, accountability, and legal oversight. Brian highlights the urgent need for AI governance that is both adaptive and forward-thinking, ensuring that technology serves humanity rather than outpacing our ability to regulate it. Resources Mentioned: https://en.wikipedia.org/wiki/Brian_Schmidt 

At Big Data Expo Global, industry leaders came together to tackle one of the most pressing topics in AI today—Ethical Considerations in Gen AI and Data Science: Navigating Complex Terrain.Sanjay Puri, Founder & Chairman of Knowledge Networks, joined an esteemed panel of experts to explore the challenges and responsibilities in building ethical AI systems. The discussion featured:🔹 Shairil Yahya – Legal Compliance Technology & Solution Director, Philips🔹 Emily Yang – Head of Human-Centred AI and Innovation, Standard Chartered🔹 Larry Orimoloye – Principal Architect AI/ML - Field CTO, Snowflake🔹 Sanjay Puri – Founder and Chairman, Knowledge Networks Group🔹 Chandrashekhar Kachole – Chief Technology Officer🔹 Saber Fallah – Professor of Safe AI and Autonomy, University of SurreyHow can we navigate the complexities of ethical AI while fostering innovation? Share your thoughts in the comments!

Watch the latest RegulatingAI Podcast from DeepFest 2025 featuring Mia Dand, Abir Habbal, Aadil Jaleel Choudhry, and Sanjay Puri (Moderator)! 🎙In this insightful session, the panelists discuss the challenges and urgency of establishing responsible AI governance in a rapidly evolving landscape. Dive into a conversation on AI ethics, accountability, and regulation that highlights the need for thoughtful, global solutions.🔍 The Panelists Shared Their Thoughts On:✅ The role of ethical guidelines in shaping AI innovation✅ How transparency and accountability are critical for AI's future✅ Addressing biases and maintaining fairness in AI models✅ Navigating the complex relationship between regulation and innovation✅ Global alignment for ethical AI practices across industriesA huge thank you to our Sanjay Puri (Moderator), all our esteemed panelists and the DeepFest community for organising this essential conversation. The dialogue around AI regulation continues to grow, and these insights are helping shape a more ethical and accountable AI future.

Governments worldwide are navigating the complexities of AI adoption, from policy development to ethical considerations. In this insightful panel discussion, Margarete Schramboeck (Former Minister of Economy of Austria, Board Member & Advisor, Aramco Digital), Lama Arabiat (Director of AI & Advanced Technologies, Ministry of Digital Economy and Entrepreneurship, Jordan), and Abdullah AlThawad (Takamol) share their expertise on how nations can create AI frameworks that align with national priorities while fostering innovation, data governance, and international collaboration.  Moderated by Sanjay Puri, Founder & Chairman, Knowledge Networks, this conversation highlights the key challenges and opportunities in government AI readiness.  🔹 What are the biggest hurdles in AI policy implementation? 🔹 How can governments balance innovation with responsible AI governance? 🔹 What role does international cooperation play in AI adoption? 

In this episode of RegulatingAI Podcast, Dr. Dominique J. Monlezun—the world’s first triple-doctorate-trained physician, data scientist, and AI ethicist—shares his extraordinary journey from a small farming town to shaping global AI healthcare policies. With a background spanning cardio-oncology, public health, and AI ethics, Dr. Monlezun brings a unique, multidisciplinary approach to healthcare innovation. He discusses how AI can bridge health disparities, why AI literacy is essential, and the ethical challenges of AI-driven medicine. 🎙️ Key Takeaways ✅ AI Isn’t Replacing Doctors – Doctors Who Use AI Are – Why upskilling in AI is crucial for healthcare professionals. ✅ Bridging the AI Adoption Gap – The divide between healthcare systems adopting AI and those falling behind. ✅ AI Ethics & Patient Trust – The role of AI in healthcare and ensuring responsible governance. ✅ Global Collaboration in AI – Why AI development must be inclusive, ethical, and internationally cooperative.

Watch the latest RegulatingAI Podcast at AI Big Data Expo, London featuring Shachar Schnap, Co-Founder & CEO at PVML! 🎙 He discusses how AI can navigate global compliance challenges, mitigate bias, and enhance data privacy with cutting-edge techniques. Don't miss this deep dive into the evolving AI landscape! 🔍 Key Topics: ✅ The role of differential privacy in AI compliance ✅ How retrieval-augmented generation (RAG) minimizes AI hallucinations ✅ The bias problem in AI models—can it ever be solved? ✅ The limitations of synthetic data in analysis and decision-making ✅ The rise of open-source AI models and their regulatory challenges 

Listen our latest Podcast on the RegulatingAI Podcast with Dr. Ahmed Serag, Professor, Founder and Director, AI Innovation Lab at Cornell University, as he discusses the future of AI in medicine. Dr. Serag shares insights on: ✅ The challenges of using AI in healthcare—only 20% of global medical data is AI-ready. ✅ The role of synthetic data in medical AI—how it can protect privacy while accelerating research. ✅ Why AI is reshaping drug discovery and clinical trials, cutting timelines from years to months. ✅ The need for global standards in medical data privacy and AI-driven diagnostics. ✅ How AI is assisting, not replacing, doctors—and why physicians who embrace AI will lead the future. Dr. Serag highlights how AI is revolutionizing medicine, from radiology to digital twins, and the critical role of collaboration between researchers, policymakers, and clinicians. 

Listen our latest Podcast on the RegulatingAI Podcast with Amr Metwally, Director of Innovation at Hamad Medical Corporation, as he discusses AI’s transformative role in healthcare. He gave insights on: ✅ How AI is reshaping medical diagnostics, from radiology to oncology. ✅ The role of AI in expanding healthcare access in underserved regions. ✅ The ethical and regulatory challenges of patient data privacy. ✅ Qatar’s approach to AI governance and healthcare innovation. ✅ Why AI won’t replace doctors—but doctors using AI will outperform those who don’t. Amr highlights how AI is not just an add-on but a fundamental shift in how healthcare is delivered, urging leaders to embrace innovation while ensuring ethical safeguards. 

Listen our latest Podcast on the RegulatingAI Podcast with Areiel Wolanow, Founder & Managing Director of Finserv Experts, as he breaks down AI adoption, business transformation, and quantum computing. He gave insights on: ✅ Why 90% of companies investing in AI won’t see ROI—and how to be in the winning 10%. ✅ The critical need for new business and operating models to fully leverage AI. ✅ How organizations can ensure AI governance, compliance, and accountability. ✅ Whether companies should hire a Chief AI Officer and what the role should actually entail. ✅ The intersection of AI and quantum computing—how it can supercharge machine learning and data security. Areiel highlights why AI-driven transformation isn’t just about tech—it’s about strategic leadership, ethical frameworks, and a deep understanding of business impact.