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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.

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Featured Content

Featured Content

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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Watch Out for These 10 AI Red Flags

Watch Out for These 10 AI Red Flags

Pete Hannam

Data and AI Systems Architect

Here are some red flags that can indicate if your AI is at risk of non-compliance with the EU AI Act.

Here are some red flags that can indicate if your AI is at risk of non-compliance with the EU AI Act.

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Watch Out for These 10 AI Red Flags

59 secs

Key learning objectives:

  • Understand what can be a red flag when creating an AI system

Overview:

Is your AI system truly compliant, or are you courting hidden risks? Navigating the EU AI Act can be daunting, but identifying these ten critical red flags (from subconscious influence to biometric analysis) is essential for safeguarding your project. 

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Summary
What are the 10 red flags that can indicate your AI is at risk of non-compliance with the EU AI Act?
  1. Your AI system works ‘subconsciously’ or ‘below awareness’
  2. You're targeting vulnerable groups with sophisticated influence techniques
  3. You're scoring people based on broad behavioural patterns
  4. You're building identification databases from public sources
  5. You're inferring psychological states in employment contexts
  6. Your users might not realise they're interacting with AI
  7. Your AI generates content that looks human-created
  8. You're analysing biometric or emotional data
  9. Your marketing makes exaggerated claims
  10. You assume users will "just know" it's AI

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Pete Hannam

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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