What AI Literacy Should Look Like at Work
AI literacy means more than knowing how to write a prompt or use ChatGPT. It includes understanding what AI can and cannot do, redesigning workflows, exercising judgement and building the confidence to work responsibly with new systems. This panel will explore which skills organisations should develop, what they should recruit for and how they can make AI capability-building practical, inclusive and connected to real work rather than generic training.
Tuesday, November 3, 2026
5:00 PM - 6:00 PM CET / 11:00 AM - 12:00 PM EST
Live online session
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Meet the panel
Logan Currie
Director of Residency Programs, The Open Accelerator
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Logan Currie is Director of Residency Programs at The Open Accelerator, a startup residency in Boston built with Red Hat, IBM Ventures and the Massachusetts AI Hub, where she works with early-stage founders building with open-source AI. She previously co-founded Careerspan, an AI career platform that helped people recognize and communicate their professional expertise, and before that spent 13 years in edtech and startups in Shanghai and Singapore. She holds a master's in learning design from the Harvard Graduate School of Education, where she focused on AI adoption and adult learning, and is an Executive Fellow at Harvard Business School. Logan co-hosts the Womansplaining AI podcast with Mara Bolis and makes content about AI and the future of work as @loganinthefuture. Her approach is to test ideas herself and share the results, including what fails.
Stephany Oliveros
Founder & CEO, Lyra AI
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Stephany Oliveros is the founder and CEO of Lyra AI, a transparent, evidence-based talent marketplace designed to match people with roles using their projects, skills and demonstrated outcomes rather than hidden keyword filters. A three-time founder, AI researcher, product leader and university lecturer in AI, she has more than seven years of experience and has partnered with organisations including the International Red Cross and Barcelona Supercomputing Center.
Liz Naylor
Senior Learning Consultant at NIIT
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Liz Naylor has spent nearly 20 years in Learning & Development and still gets excited by new ways to help people learn. A self-confessed AI enthusiast, she works with global organisations as a Senior Learning Consultant at NIIT, helping Learning teams embrace AI and build the capabilities needed for the future. From launching enterprise-wide AI Academies to supporting large-scale learning transformations, her focus is on making AI practical, human, and useful, rather than just another piece of shiny technology.
Shaje Ganny
President, Swiss AI Academy and Digital Transformation Leader, P&G
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Shaje Ganny is President and Co-Founder of the Swiss AI Academy Association, a Geneva-based nonprofit for AI literacy and responsible AI education, and author of the Amazon best seller AI Won't Bite. He is the creator of the Bionic Context Protocol, a framework for preserving human capability as AI becomes more capable and more embedded, launched at Davos 2026, and he co-chairs the IEEE education subcommittee working on international standards for education. His message to the private and public sector is the same: deploying AI and delivering business value are two different jobs, literacy is where value starts, and the things AI does not have, judgment, ethics and emotional intelligence, are becoming the scarcest assets at work. He has spent the past 20 years leading digital transformation and bringing AI to life at Procter & Gamble, teaches the master's course "AI for Leaders" at FHNW, is a TEDx speaker, and advises government ministries as well as company CIOs on AI policy.
Catherine Nicholson
Co-founder and Creative Director, The Virtual Training Team
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Catherine Nicholson is co-founder and Creative Director of The Virtual Training Team, which designs and delivers learning programmes for organisations around the world. She co-founded the business in 2017 with a focus on helping people apply what they learn and change how they work. Her approach draws on psychology, behavioural science and practical learning design. Catherineβs work on AI focuses on the human side of adoption: building curiosity and confidence, exercising judgement and developing useful habits. She brings experience both of helping organisations build AI capability and of embedding AI into her own teamβs everyday work.
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