AI Policy in Bermuda

Bermuda is setting its AI policy now, through the Bermuda Monetary Authority's proposed guidance, the Government's AI Policy and PIPA. Laurenceo, a leading independent AI governance think tank, is Bermuda's independent AI policy voice: it has put a full policy position on the record with the BMA, analyses the Government's approach, and tracks international AI regulation with dated, scored forecasts.

Laurenceo's AI Policy Positions

Laurenceo's response to the Bermuda Monetary Authority backs the Authority's principles-based, technology-neutral approach and argues that the hardest test is proof: showing, on any given day, that AI controls work. It puts seven recommendations on the record:

1. Recognise system-generated evidence as a preferred form of evidence for material and higher-impact AI.
2. Publish an illustrative minimum evidence set for lower-impact, material and higher-impact use cases.
3. Specify indicative minimum fields for AI inventories, without prescribing a system.
4. Strengthen agentic AI expectations with boundaries enforced outside the model.
5. Treat material vendor model updates as change events that trigger re-verification.
6. Connect AI incident records to PIPA breach assessment.
7. Add worked sector examples for claims, underwriting, AML/ATF, customer-facing generative AI and agentic automation.

Bermuda's AI Policy Landscape

Financial services. The BMA's proposed Guidance Note applies existing obligations to AI through eight principles and five outcomes, with consultation feedback due 30 October 2026 (consultation paper). It is the most consequential AI policy decision Bermuda will make this year.

Government. The Government's AI Policy for its own use of AI is built on ethics, accountability, transparency and equity, with a human-in-the-loop requirement and AI that must be explainable and auditable.

Privacy. PIPA, fully in force since 1 January 2025, governs any AI that uses personal information.

Analysis: Where Bermuda's AI Policy Goes Next

Bermuda has chosen the right architecture: apply existing law and sector rules to AI rather than legislate a standalone regime. That keeps the island interoperable with larger jurisdictions and avoids freezing fast-moving technology into statute. The open question is enforcement in practice. Principles only bite when firms can show evidence that controls work, which is why Laurenceo's policy work centres on evidence by default.

Three things will define the next phase: whether the BMA's final Guidance Note specifies what sufficient evidence looks like; whether the Government's human-in-the-loop and auditability commitments are matched by published inventories of its own AI use; and how quickly agentic AI, systems that act rather than advise, is brought explicitly into scope. Laurenceo tracks each of these, and publishes its view as it goes.

International AI Policy, Forecast

AI policy abroad shapes Bermuda firms with EU, US and UK exposure. Laurenceo forecasts the decisions that matter, with probabilities updated as evidence arrives:

• Will the BMA publish a final AI Guidance Note by 30 June 2027?
• Will the EU further delay the AI Act's high-risk obligations?
• Will Congress preempt state frontier AI laws by the end of 2027?
• Will the UK introduce a frontier AI bill by the end of 2028?
• Will Colorado's AI Act take effect on 1 January 2027?

Questions and Answers

Sources

• BMA consultation paper (August 2026)
• Government of Bermuda: AI Policy ministerial statement
• Government of Bermuda: AI Policy
• Walkers: Guide to Bermuda Privacy Law