Core Principles of the EU AI Act
Pete Hannam
Data and AI Systems Architect
Understand the key principles behind building trustworthy AI.
Understand the key principles behind building trustworthy AI.
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Core Principles of the EU AI Act
51 secs
Key learning objectives:
Outline the core principles of the EU AI Act
Overview:
Mastering the core principles of the EU AI Act is essential for anyone navigating the digital landscape. Vital standards (from safety and transparency to human oversight) ensure you understand how to protect fundamental rights and maintain accountability.
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Summary
What are the core principles of the EU AI Act?
- Safety
AI systems must not cause physical or psychological harm - Transparency
It should be clear how AI systems operate and when people are interacting with AI - Accountability and reliability
Clear lines of responsibility must exist and organisations must take responsibility for how their AI systems are built and used - Consistent performance
AI systems should perform as reliably and accurately as intended, and they must also be robust against errors - Respect for rights
AI must respect people's fundamental rights, including privacy, data protection, and non-discrimination - Human oversight
Humans should always be able to intervene and maintain control when needed
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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.
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