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Knowledge & Networking Event

For AI ethicists, technologists, and organizational leaders responsible for AI education and integration, our August 21st session represents an opportunity that stands apart from typical industry events. Our format includes two thought-provoking 20-minute panel discussions where experts challenge the full AI promise-to-peril spectrum. After each panel, you’ll break out to discuss, question, build on, or challenge what you heard in small groups- this is where your expertise, curiosity, and insight matter. Our goal is to elevate the broadcast style of most webinars, shifting from “audience” to “activists” as we work together to humanize technology one conversation at a time. Each interactive session will examine how emerging technologies can be purposefully designed to enhance human connection, creativity, and collective growth. It will also offer a gathering place where participants can network naturally, share insights, and build meaningful professional relationships while exploring how together we can shape technology to serve humanity's highest aspirations.

MEET THE PANELISTS

Panel One will include:

John C. Havens, Isabella Loaiza, and Tal Goldhammer.

Panel Two will include:

Narath Carlile, Lucas Erb, and Julia Fu.


John C. Havens

John C. Havens is Executive Director of The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems, where he leads efforts to ensure ethical considerations are prioritized in AI development. Guided by over 250 thought leaders, the initiative produces "Ethically Aligned Design" and recommends standards projects that advance technology for humanity's benefit. He also serves as Executive Director of The Council on Extended Intelligence (CXI), a collaboration between IEEE Standards Association and MIT Media Lab focused on responsible participant design and data agency. Previously, John was EVP of Social Media at Porter Novelli, working with major clients including P&G, Gillette, and HP, and spent over 15 years as a professional actor appearing in principal roles on Broadway, TV, and film. A recognized voice on technology and well-being, he contributes to Mashable and The Guardian and has authored two books on artificial intelligence and human happiness, published by Penguin Random House.

Isabella Loaiza

Isabella is a Computational Social Scientist at MIT Sloan committed to building an equitable and sustainable future of work through human-centered research on AI's impact on workers and organizational talent practices. Her expertise spans automation and augmentation dynamics, skilling and reskilling initiatives, labor inequalities, and sustainable skills development, with a focus on human-AI complementarities that empower both individual workers and entire workforces. Using advanced computational methods, network science, and statistical techniques, she generates actionable insights that help organizations navigate the evolving landscape of work while prioritizing human potential. Isabella's research bridges the gap between technological advancement and workforce development, ensuring that AI implementation enhances rather than replaces human capabilities. Her work contributes to policy discussions and organizational strategies that promote inclusive growth in an increasingly automated world, making her a leading voice in the intersection of technology, labor, and social equity.

Tal Goldhamer

Tal Goldhamer is a transformational learning leader who envisions a world where people are so inspired by knowledge that they feel compelled to share it with others. Through his global AI Academies, workshops, and consulting practice, he helps individuals and organizations truly understand AI and identify the most relevant use cases for their teams while blending science-backed methods with practical, plain-English approaches that create lasting change. As an expert in leadership and team dynamics, Tal specializes in integrating AI concepts with human potential, helping people discover opportunities to use technology to become better leaders and collaborators. Drawing from over 30 years of experience as a client-serving Partner and Chief Learning Officer at EY, he has served organizations of all sizes and complexities, designing transformation efforts and launching innovative programs worldwide. His expertise in motivation and behavior change, combined with his out-of-the-box thinking, makes him a sought-after guide for those seeking to harness AI's potential while maintaining focus on human growth and development.

Narath Carlile

Narath is the visionary founder of MakeTimeFlow and a practicing physician and healthcare innovator based in Boston, dedicated to exploring how people can achieve human flourishing and the 'good life' through optimized use of time and focused attention. Since his early days working with patients, he has identified time management and directional focus as key catalysts for thriving, leading him to co-found MakeTimeFlow with producer Heli Tuomi in 2020. Following a successful Kickstarter campaign, they developed the Flow platform at the Cambridge Innovation Center and Harvard iLab, creating an evolving project that expands human flourishing through cognitive high performance, now available for paid membership. Originally from South Africa with studies in Canada, Narath holds a BS in Computer Science from York, MD from Dartmouth, and MPH from Harvard, bringing expertise in internal medicine, global health and social equity, clinical informatics, and health innovation. An avid surfer who braves even New England waters, he travels with no fewer than two duffel bags of books, embodying his commitment to continuous learning and exploration.

Lucas Erb

Lucas Erb is a member of the AI for Human Flourishing Think Tank and Founder of AIExperts.com, recognized as part of LinkedIn's distinguished, invite-only "Top Voice" program for his expertise in artificial intelligence strategy and thought leadership. As a trusted advisor to businesses on AI strategy and accomplished public speaker, he has co-authored and led research for numerous executive publications, including the "Technology Futures Report" with the World Economic Forum. Working directly with Deloitte's CTO Bill Briggs and Chief Futurist Mike Bechtel for five years, Lucas reinvented Deloitte's AI thought leadership approach, helping the world's largest enterprises harness tailwinds, dodge headwinds, and arrive at their preferred futures ahead of schedule. He leverages his background in software engineering, business strategy, and leadership to sense and make sense of what's new and next in AI for clients. Having delivered over 30 keynote presentations to global audiences of 300+ across stages from Switzerland to Puerto Rico to New York City, Lucas brings both technical depth and strategic vision to his work. He holds a degree in Computer Science specialized in Big Data and began his career in full-stack software engineering at HP, and when not advising clients, he can be found hacking together AI applications in Manhattan coffee shops or sailing on the Hudson River.

Julia Fu

Julia Fu is an AI Business Strategist and Director of Global Enterprise Business Strategy at Microsoft, where she has spent over a decade driving innovation and strategic growth across the company's enterprise portfolio. In her current role, she leads global business strategy initiatives while dedicating herself to empowering business leaders and professionals to embrace artificial intelligence through a human-centric approach that creates meaningful partnerships between humans and machines. Previously, Julia served as Global Product Strategy and Management Lead at Microsoft and Senior Global Product Marketing Manager for Business Solutions, where she designed and implemented global digital customer engagement programs across Americas, EMEA, and APAC markets. Julia's mission centers on inspiring forward-looking AI integration that drives innovation, optimizes efficiency, and enriches personal fulfillment while contributing to the greater good of society. Through thought-provoking insights and strategic guidance, she helps organizations navigate the complexities of AI transformation, ensuring that technological advancement enhances rather than replaces human potential and creativity, creating sustainable competitive advantages that benefit both companies and their stakeholders.

Participation is limited.

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Knowledge and Networking

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November 20

Knowledge & Networking Event -November 2025