In a world where technology is accelerating faster than ever, how do leaders make the right decisions—without losing sight of what makes us human?

In this episode of Inside Learning, Aidan McCullen is joined by Kate O’Neill, tech humanist, author of What Matters Next, and advisor to organizations like Google, Netflix, and the United Nations.

Kate shares a powerful framework for navigating uncertainty, making smarter decisions, and shaping a better future—while keeping human experience at the center.

You’ll discover:

• Why not making a decision is still a decision
• The critical difference between harms of action vs. inaction
• How to move from questions → insights → “bankable foresight”
• Why the future isn’t singular—but made up of multiple “futures”
• How leaders can align purpose, values, and strategy in a fast-changing world
• The emerging skill of “prompting” as a leadership capability
• Why AI should support human meaning—not replace it

Kate also explores a crucial idea: 👉 We must not leave meaning-making to machines.

This episode is essential listening for leaders, educators, and anyone trying to stay relevant—and human—in the age of AI.

Inside Learning is brought to you by Learnovate, the global experts in the future of work and learning. Based at Trinity College Dublin and funded by Enterprise Ireland and IDA Ireland, Learnovate is a research centre with a mission to enhance the competitive advantage of the learning technology industry and help organisations maximise the impact of learning technology.

Learnovate’s vision is to play a significant role in transforming the lives of learners in the workplace, schools, universities, and the home. We are proud to be part of the Technology Centre programme funded by Enterprise Ireland and IDA Ireland, enabling Irish companies and multinationals to collaborate on market-focused strategic R&D with research institutions.

To find out more about Learnovate, visit the Learnovate Centre website.

https://learnovatecentre.org/

Find Kate here:

https://www.koinsights.com/

Kathryn Jablokow. Dean of Manhattan University’s School of Engineering, former NSF deputy division director, and co-author of the NSF Artificial Intelligence Roadmap joins Aidan McCullen to explore design cognition: how people think while solving design problems.

They unpack why high-performance teams don’t just match skills to problems, but also match thinking styles to the type of challenge, plus how great facilitators make space for different contributors (including introverts who need time to reflect).

The conversation then turns to AI as a teammate: how to avoid “sycophant” answers, how to prompt AI to generate genuinely different perspectives, and what it could look like to train LLMs to emulate cognitive diversity for better decisions and more creative outcomes.

Find Kathryn's papers:

https://www.forbes.com/sites/marybethgasman/2025/12/30/what-ai-cant-replace-and-why-that-matters/

https://www.techradar.com/pro/how-applying-cognitive-diversity-to-llms-could-transform-the-user-experience

In this episode of The Inside Learning Podcast, hosted by the Learnovate Centre, Aidan McCullen speaks with world-renowned AI researcher and Creative Machines author Maya Ackerman about the rise of generative AI and its impact on human creativity.

The conversation explores the hidden history of AI-generated creativity, from early computational creativity pioneers to modern large language models. Maya explains how scientists define creativity — novelty, value, and surprise — and how machines are beginning to operate inside that same creative space.

The episode also examines the capabilities and limitations of generative AI, the ethical challenges of treating AI as an “all-knowing oracle,” and why the future of creativity lies in human-AI collaboration rather than replacement.

Listeners will gain practical insight into how tools like Lyric Studio enhance human expression, how AI reflects human culture and bias, and what leaders must understand as creative AI reshapes work, learning, and society.