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AI risk and approaches to global regulatory compliance

Our latest AI report is intended to help internationally-active companies navigate the complex and evolving landscape of AI risk and regulation and understand the key actions they can take to support AI regulatory compliance.

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Deloitte AI risk and approaches to global regulatory compliance 

Our latest AI publication is a global regulatory and risk landscape analysis. This major report, from Deloitte’s Internet Regulation team, is intended to support internationally-active companies who are developing and deploying AI strategies and systems with their understanding of the regulatory space. It identifies the patterns, trends, and strategic implications in an evolving regulatory landscape to support companies with their compliance journeys.

AI is arguably already one of the most important strategic priorities for businesses. However, alongside the potential opportunities, there are widespread concerns about AI’s risks. In response, governments around the world have embarked on a significant programme of regulation, with over 300 AI-related laws and regulations now on the statute book or in development. As these initiatives move from high-level discussions in international bodies to national and regional laws, our latest report, which brings together AI regulation experts from across the globe:

  • Explores the overall AI risk landscape and identifies the key areas of regulatory focus
  • Considers the extent to which there is correlation in what international bodies and national and regional regulatory approaches are addressing
  • Maps and compares the regulatory approaches being pursued in Australia, the EU, Japan, Singapore, the UK and the US and identifies the areas of similarity and divergence.

We highlight the implications for regulatory compliance through an illustrative case study based on an internationally-active technology company building an AI offering.

 

Key takeaways include:

Global approaches are heavily converging around a focus on fairness, privacy, safety, transparency, competition, and accountability, which may mean that internationally-active organisations looking to navigate the uncertain AI regulatory landscape may be able to prioritise.

While priorities align, approaches vary significantly across jurisdictions, suggesting that many firms will have to manage divergence, which could increase over time.

AI regulation often intersects with broader tech and sector-specific rules. This suggests that, even within jurisdictions, firms won’t just be able to solve for AI-specific regulation in isolation.

Scaling global AI regulatory compliance requires robust governance, risk management, and control.

The report identifies five key steps to support an organisation-wide response to global AI regulation:

  1. Understand the strategic impacts.
  2. Create clarity around the operational challenges.
  3. Engage a wide range of stakeholders across the organisation.
  4. Implement a scalable AI governance and risk management framework.
  5. Get started with some no regrets actions straightaway.
     

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