What is the EU AI Act?

Pete Hannam

Data and AI Systems Architect

Why did the EU need new rules for AI? Join Pete Hannam as he breaks down the purpose of the EU AI Act and its focus on trustworthy, responsible AI.

Risk Management

Why did the EU need new rules for AI? Join Pete Hannam as he breaks down the purpose of the EU AI Act and its focus on trustworthy, responsible AI.

Subscribe to watch

Access this and all of the content on our platform by signing up for a 7-day free trial.

What is the EU AI Act?

2 mins 21 secs

Key learning objectives:

Understand why the EU introduced the AI Act
Identify the risks the Act is designed to address
Understand how the EU defines an AI system

Overview:

The EU AI Act responds to real harms caused by opaque and unaccountable AI systems. By defining AI broadly and focusing on risk, transparency and oversight, the Act aims to support innovation while ensuring AI aligns with European values and public trust.

Subscribe to watch

Access this and all of the content on our platform by signing up for a 7-day free trial.

Summary

Why was the EU AI Act needed?
To address real risks created by AI systems making impactful decisions without transparency, fairness or proper oversight, as highlighted by cases like the Swedish welfare agency.

What problem does the EU AI Act aim to solve?
It fills regulatory gaps where existing laws failed to address AI risks such as discrimination, lack of explainability and the manipulation of vulnerable people.

What is the main goal of the EU AI Act and does it restrict innovation?
The goal is to promote trustworthy AI that is transparent, fair and subject to human oversight, while guiding innovation responsibly rather than limiting it.

How does the EU define an AI system and why is the definition broad?
An AI system is software that operates with autonomy, infers from data, may adapt over time and produces outputs that impact people or society. The definition is deliberately technology-neutral to remain future-proof and focus on impact rather than specific tools.

What does this mean for organisations using AI?
Organisations must recognise when they are using AI systems and take responsibility for transparency, oversight and risk management under the EU AI Act.

Subscribe to watch

Access this and all of the content on our platform by signing up for a 7-day free trial.

Pete Hannam

Pete Hannam has over twenty years’ experience building large-scale data platforms, including those that now underpin modern AI systems. His work has ranged from national security infrastructure processing hundreds of billions of records to global enterprise platforms supporting tens of thousands of users. He has architected AI-ready systems for government, consultancies, and enterprises, with a strong focus on governance, security, and regulatory compliance. His work emphasises that successful AI deployment depends not only on technology, but on understanding the organisational, technical, and regulatory context that enables AI initiatives to deliver real value.

There are no available Videos from "Pete Hannam"