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Plastic pollution is by far the biggest threat to our oceans and this remains an incredibly tough problem to solve. Plastic credits could potentially serve as one of the much needed solutions for this crisis.

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ESG, sustainability, impact… they all just mean green, right? Not quite. Despite being used often interchangeably, there are distinct differences between these terms.

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The Science of Climate Change

Climate change is no longer a distant threat or just a possibility, it is now a reality for all of us. In this pathway, Kevin Trenberth, a renowned climatologist, delves into the science behind climate change. He first introduces the climate system, its main components and forces.

Tackling the Plastic Crisis

Plastic pollution is by far the biggest threat to our oceans and this remains an incredibly tough problem to solve. Plastic credits could potentially serve as one of the much needed solutions for this crisis.

More pathways

Book a demo

Ready to get started?

Our Platform

Expert led content

+1,000 expert presented, on-demand video modules

Learning analytics

Keep track of learning progress with our comprehensive data

Interactive learning

Engage with our video hotspots and knowledge check-ins

Testing & certification

Gain CPD / CPE credits and professional certification

Managed learning

Build, scale and manage your organisation’s learning

Integrations

Connect Sustainability Unlocked to your current platform

Featured Content

More featured content

The Scale of the Net Zero Challenge

The price of meeting net zero is estimated to be between $100-150 trillion over the next 30 years. Regardless of this cost, we need to reach net zero before climate change does irreversible damage to the environment and the economy.

ESG, Sustainability and Impact Jargon Buster

ESG, sustainability, impact… they all just mean green, right? Not quite. Despite being used often interchangeably, there are distinct differences between these terms.

More featured content

Book a demo

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Book a demo

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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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