The Future of Learning with Don MacFarlane
Welcome to the Future of learning with Don MacFarlane We’re exploring the future of learning and knowledge sharing in organizations in the context of AI and emerging technology. Our goal is to have honest and authentic conversations that explore how professional learning, knowledge management and audience engagement is changing with the emergence of technology and specifically AI. This podcast is brought to you by Transmission.
Episodes
What if students could practice critical exams as many times as they need from home? Benjamin Hughes built a tool that lets them do exactly that, and it's already changing how we think about test anxiety and personalized learning. In this episode, you'll discover how generative AI can transform education from a one-size-fits-all model into something radically personalized.
Benjamin shares the prompts he uses to give students indiv...
When AI writes your essays and thinks through your problems, what happens to your own capacity for thought? In this episode, author and philosopher Thomas Telving explores how technology shapes our minds—from cognitive offloading to the alarming research showing AI users dramatically overestimate their own thinking.
Drawing on Plato, John Dewey, and contemporary happiness research, Telving offers a thoughtful case for why ph...
In this episode, Katrine Bach, co-founder and CEO of Connected Women in AI, reveals why 30% fewer women use AI than men and how this gender gap threatens both innovation quality and Denmark's digital sovereignty.
Our conversation explores why AI adoption is a confidence problem rather than a competence problem, and how algorithmic bias gets embedded in systems from LinkedIn to healthcare.
She also shares how her team built a ...
Mads Radoor, Manager of Talent Acquisition and People Operations at e-conomic, shares how his team replaced generic training programs with adaptive, theme-based learning that responds to real business needs and employee feedback.
He also reveals e-conomic's thoughtful approach to AI in recruitment—cutting through the hype to implement tools that create genuine impact.
Shownotes
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