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Implementing AI in your Organisation

In this video, Elizabeth explains how organisations can successfully adopt AI and data science by fostering a data-driven culture and strategically implementing AI projects.

Blockchain and Smart Contracts

In the first video of this video series, James explains the concept of blockchain along with its benefits.

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How to Build AI Skills that Last

How to Build AI Skills that Last

Ciaran Rooney

Technology and Cybersecurity Leader

The AI tools will change. The jargon will change. The most valuable skill won't. Learn why critical thinking, curiosity and sound judgement are the foundations of long-term AI success.

The AI tools will change. The jargon will change. The most valuable skill won't. Learn why critical thinking, curiosity and sound judgement are the foundations of long-term AI success.

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How to Build AI Skills that Last

2 mins 22 secs

Key learning objectives:

  • Explain why understanding AI principles is more valuable than memorising terminology

  • Recognise the importance of critical thinking when working with AI

  • Describe the role of judgement and curiosity in effective AI use

  • Apply a principles-first mindset to future AI developments

Overview:

AI technologies and terminology will continue evolving rapidly, but the core principles behind them remain remarkably consistent. Focusing on these principles enables individuals to adapt as new models, tools and capabilities emerge.

Critical thinking remains the defining human skill in an AI-enabled workplace. AI can generate ideas, analyse information and automate tasks, but people remain responsible for applying judgement, questioning outputs and making informed decisions. Those who understand the principles behind AI, rather than simply memorising today's terminology, will be best positioned to thrive as the technology evolves.

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Summary
AI technologies and terminology will continue evolving rapidly, but the core principles behind them remain remarkably consistent. Focusing on these principles enables individuals to adapt as new models, tools and capabilities emerge.

Critical thinking remains the defining human skill in an AI-enabled workplace. AI can generate ideas, analyse information and automate tasks, but people remain responsible for applying judgement, questioning outputs and making informed decisions. Those who understand the principles behind AI, rather than simply memorising today's terminology, will be best positioned to thrive as the technology evolves.
Why shouldn't people focus on memorising AI jargon? 
AI terminology changes rapidly. Understanding the underlying concepts provides a far more durable foundation than learning individual buzzwords that may quickly become outdated.

What AI principles remain constant? 
Key principles include understanding that AI learns from data, predicts rather than thinks, benefits from context, performs better with trusted information and requires governance to be used responsibly.

Why is critical thinking the most important AI skill? 
AI can produce convincing outputs but cannot replace human judgement. Users must evaluate responses, question assumptions and verify important information before acting on it.

How can people stay effective as AI evolves? 
Rather than chasing every new tool or acronym, individuals should focus on continuous learning, curiosity and applying fundamental AI principles to new technologies as they emerge.

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Ciaran Rooney

Ciaran Rooney

Ciarán is the Chief Technology Officer at xUnlocked. He has over 20 years of experience in technology, cyber security and operations. Ciarán has held the role of CTO of several successful startups including; busuu, Skimlinks, and Swoon. He has also been a technical consultant, a startup mentor, a conference speaker, and the Chair of the PHP UK Conference.

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