The regulatory landscape for AI is evolving quickly, which makes it more complex than ever not only to stay on the front foot, but to ensure your business is compliant and is suitably equipped to avoid any legal pitfalls when it comes to AI use.
As AI becomes increasingly more common, governments worldwide are introducing frameworks to govern AI development, deployment, and use.
Recent regulatory Frameworks
- EU’s AI Act: This act is now scheduled for implementation, and introduces a risk-based regulatory approach to AI. This focuses on safety, transparency, and accountability. High-risk AI systems face strict requirements, including certification and compliance with ethical standards.
- UK’s AI Governance White Paper: This White Paper focuses on principles like transparency and accountability, the UK’s approach provides guidance to sectors impacted by AI while ensuring alignment with international standards.
- Global Initiatives: International efforts, such as the G7 Hiroshima AI process, are looking to establish ethical guidelines and best practices for AI development and deployment on a global scale.
Compliance Challenges and Strategies
Ensuring you are compliant with AI regulations means you will need to assess the AI systems in use within your business against regulatory requirements. In some cases, this should include conducting impact assessments and implementing governance frameworks.
Businesses should consider adapting their policies to align with new standards and ensure continuous monitoring and adaptation to evolving regulations.
If you have started to use AI in your business, or you are considering implementing some form of AI, it’s key to ensure that your business adheres to these emerging AI regulations and processes.
Are you thinking about implementing AI in your business but aren’t sure where to start? If you’d like to seek guidance, our fantastic team is here to help. Reach out to us at 01276 536 410 or email hello@hartleylaw.co.uk.
This article is the third instalment in our AI mini-series. In our first article, we discussed all the key risks businesses must consider when implementing artificial intelligence. You can read it here.
In part two, we discussed Ownership and Contractual Safeguards in AI Tool Management. You can read it here.
