As AI continues to shape industries and society, the need for robust AI governance has never been more critical. At the forefront of this governance are privacy-enhancing technologies (PETs), which play a key role in ensuring that AI systems operate in a way that respects and protects individuals' data. 

The European Union’s AI Act, one of the most ambitious regulatory frameworks for AI, sets clear standards for transparency, accountability, and risk management. Understanding the implications of this legislation is crucial for businesses looking to innovate responsibly while avoiding potential legal and ethical pitfalls.

Countries around the world are taking varied approaches to AI governance, with some prioritising privacy and ethical considerations while others focus on fostering technological innovation. This diversity presents challenges and opportunities for organisations striving to implement AI responsibly. 

In this episode, Paulina Rios Maya, Head of Industry Relations, speaks to Dr Ellison Anne Williams CEO and founder of Enveil, about the need for model-centric security and the potential of PETs to mitigate risks associated with sensitive data in AI applications.

Key Takeaways: 

  • Privacy-enhancing technologies are crucial for data protection.
  • The EU AI Act sets a precedent for global AI regulation.
  • Organisations must start with the problems they aim to solve.
  • Data sensitivity must be considered in AI model training.
  • Privacy-enhancing technologies can facilitate cross-border data sharing.
  • AI is a neutral tool that requires responsible governance.
  • The implementation of privacy technologies is still evolving.
  • Global standards for AI governance are necessary for ethical use.

Chapters: 

00:00 - Introduction to AI Governance and Privacy

01:07 - Understanding AI Governance

03:51 - Privacy Enhancing Technologies Explained

08:28 - The Role of the EU AI Act

12:42 - Implementing Privacy Enhancing Technologies

17:20 - Harmonizing AI Governance with Privacy Technologies