Programme

ProposedWebinar

AI Changed the Threat Landscape. Are Organizations Ready?

AI is changing both the capabilities available to organizations and the risks they face. This session explores how the digital threat landscape is evolving and what organizations should consider when preparing for AI-enabled risks.

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ProposedWebinar

Building Digital Resilience in an AI-Driven World

As organizations become more dependent on digital systems and AI, resilience requires more than preventing individual incidents. This session explores how organizations can prepare for disruption, adapt to emerging risks, and build stronger digital resilience.

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ProposedWebinar

From Hype to Impact: Reading Technology Trends More Critically

Technology trends are often surrounded by bold predictions and exaggerated expectations. This session explores practical ways to evaluate emerging technologies by looking beyond hype toward evidence, adoption, limitations, and potential impact.

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ProposedWebinar

Which Emerging Technologies Actually Matter?

New technologies constantly compete for attention, but not every trend will create meaningful change. This session explores how to distinguish potentially transformative technologies from short-lived hype.

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ProposedWebinar

What Comes After the AI Boom?

AI currently dominates technology conversations, but innovation will not stop there. This session explores what may follow the current AI boom and how people and organizations can think more critically about the next wave of technological change.

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ProposedWebinar

Can You Prove Where That Information Came From?

Knowing where information originated can be as important as the information itself. This session explores provenance, source tracing, evidence, and why understanding the path from source to claim is becoming increasingly important.

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ProposedWebinar

Verification Is Becoming Everyone's Job

Verification is no longer only the responsibility of researchers, journalists, or specialists. This session explores why checking sources, claims, evidence, and context is becoming an essential skill for everyday professional and digital life.

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ProposedWebinar

Trust in the Age of AI-Generated Everything

AI can generate convincing text, images, audio, and other forms of content at enormous scale. This session explores what that means for trust and how people can make better judgments when authenticity is increasingly difficult to determine.

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ProposedWebinar

How Do We Know What to Trust Online?

Digital information is easier than ever to create and distribute, making credibility harder to judge. This session explores practical ways to evaluate sources, evidence, context, and credibility in increasingly complex online environments.

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ProposedWebinar

How Much AI Knowledge Does a Non-Technical Professional Need?

Professionals do not need to become AI engineers to work effectively with AI. This session explores the practical level of AI understanding non-technical professionals need to evaluate tools, question outputs, and make informed decisions.

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ProposedWebinar

Beyond Prompting: Understanding What AI Can and Cannot Do

Effective AI use requires more than knowing how to write a good prompt. This session explores the capabilities and limitations of AI and why understanding both is essential for making better decisions about when and how to use it.

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ProposedWebinar

AI Literacy: What Everyone Actually Needs to Know

AI literacy is becoming relevant far beyond technical roles. This session explores the essential knowledge people need to understand AI, question its outputs, recognize its limitations, and use it more responsibly.

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ProposedWebinar

Why Digital Transformation Projects Fail After Launch

Launching new technology does not guarantee lasting transformation. This session explores why digital initiatives often lose momentum after implementation and what organizations need to turn technology adoption into sustainable change.

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ProposedWebinar

From Digital Transformation to Digital Resilience

Digital transformation is not only about adopting new technology. Organizations also need the ability to adapt when technologies, risks, and expectations continue to change. This session explores the shift from transformation projects toward long-term digital resilience.

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ProposedWebinar

Before You Approve That AI Tool: What Should You Ask?

Adopting an AI tool should involve more than evaluating features and price. This session explores the questions organizations should ask about purpose, data, risk, accountability, reliability, and human oversight before adoption.

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ProposedWebinar

Building AI Governance People Can Actually Follow

Governance only works when people understand what it means for their everyday decisions. This session explores how organizations can create AI governance that is clear, practical, and usable.

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ProposedWebinar

Who Is Accountable When AI Makes the Recommendation?

AI can increasingly influence decisions, but accountability cannot simply be delegated to technology. This session explores where responsibility should sit when AI contributes to recommendations and decisions.

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ProposedWebinar

From AI Policy to Practice

AI policies can establish principles, but the real challenge is turning them into decisions people can apply in everyday work. This session explores how organizations can move from written AI policy to practical guidance and shared expectations.

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ProposedWebinar

Prompting Is Not the Skill: What Comes Next?

Knowing how to prompt AI is useful, but meaningful AI capability goes further. This session explores the judgment, verification, and critical thinking skills people need beyond prompting.

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ProposedWebinar

Working With Generative AI Without Losing Human Judgment

Generative AI can accelerate everyday work, but effective use still requires people to question, verify, interpret, and make decisions.

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ProposedWebinar

What Should We Actually Delegate to AI?

AI can perform more tasks than ever, but capability does not automatically mean delegation is appropriate. This session explores what we should delegate to AI and what should remain human-led.

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ProposedWebinar

Where Should Academic Institutions Draw the Line with AI?

As AI becomes part of academic work, institutions need clearer boundaries around where and how it should be used. This session explores responsible AI use, institutional expectations, human judgment, and academic integrity.

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ProposedWebinar

AI in Academia: From Experimentation to Everyday Practice

AI is moving from experimentation into everyday academic work. This session explores what that transition means for teaching, research, administration, expectations, and institutional practice.

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ProposedWebinar

What Does AI Readiness Actually Look Like in a University?

AI readiness goes beyond giving people access to AI tools. This session explores what institutions need in place to use AI responsibly and effectively.

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