Navigating AI compliance: Balancing innovation and regulation

AI Compliance: Balancing Innovation and Regulation Rolpb5m
Shine: a podcast by Star, ep. 2.21

In our limited series of Shine: a podcast by Star, we invite you into unfiltered, candid conversations between our AI experts and industry experts addressing key questions surrounding AI – questions that are often not asked but critical to the future of various sectors. Their conversations go beyond hype, offering practical insights into how AI applications and integrations can bring immediate value to businesses. 

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Episode 1: Making generative AI safe and compliant

In the first episode, Antonina Burlachenko, Head of Regulatory and Compliance, and Martin Fix, Co-Lead of AI Innovation Hub and Technical Director, discuss the intricacies of AI regulations and how businesses can successfully manage AI products while maintaining compliance – without stifling innovation. Key topics include:

  • The importance of AI regulation: Antonina and Martin stress that regulating AI-integrated products and services is essential to avoid legal and reputational risks.
  • Understanding the EU AI Act: They explain how the EU AI Act classifies high-risk AI systems, emphasizing the need to implement AI Management Systems (AIMS) early in development. This approach can streamline the process by focusing on compliant areas and avoiding unnecessary exploration.
  • Addressing bias in AI: The episode explores how companies can tackle bias, ensure data privacy, and conduct edge case testing to mitigate unintended consequences.

In summary, Antonina and Martin emphasize that AI regulations are not a barrier but rather a helpful framework that streamline innovative product development in highly regulated industries such as healthcare, ensuring ethical and safe AI. By adopting compliance early and integrating AIMS, companies can balance innovation with responsible AI use while maximizing its impact in safe and ethical ways. 

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