Navigating AI Governance: Transforming Pharma with Oliver Patel

What if the future of pharmaceuticals hinged on mastering AI governance? Discover the insights of Oliver Patel, AstraZeneca's Enterprise AI Governance Lead, as he charts his extraordinary journey from academia and the UK government to the heart of the pharmaceutical industry.With a rich background in philosophy and public policy from the London School of Economics, Oliver's passion for AI ethics has guided him to become a leader in this emerging field. Listen as he shares his vision for how AI can revolutionize drug discovery and patient outcomes, while highlighting his collaboration with the International Association of Privacy Professionals to advance training in AI governance.Join our conversation as we break down the critical components of implementing AI governance frameworks in large enterprises. Oliver Patel sheds light on the five foundational pillars: policy development, risk management, activity tracking, regulatory alignment, and workforce upskilling.We tackle the unique challenges posed by AI's democratization, especially with technologies like ChatGPT, and emphasize the need for transparency and interpretability in AI models. Essential advice awaits for those looking to introduce AI governance effectively, advocating for a risk-based and proportionate approach in managing AI's vast potential.Oliver Patel, AIGP, CIPP/E | LinkedInKieran Gilmurray | LinkedInSupport the showIf you are leading your businesses strategic transformation and need greater clarity, stronger execution and measurable results, let’s connect.  🌎 Website: www.KieranGilmurray.com📅 Book a call: https://calendly.com/kierangilmurray/catch-up📘 Kieran Gilmurray | LinkedIn🌐 Substack: https://kierangilmurray.substack.com📕 Amazon https://tinyurl.com/MyBooksOnAmazonUK AI Transparency Notice:  This podcast uses a hybrid format. When an episode features one of Kieran Gilmurray’s written articles, the narration is generated using a synthetic clone of his voice via ElevenLabs AI (the underlying article text is entirely human-authored). Episode descriptions and summaries are assisted by AI and should be considered unedited by a human unless specified.