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SAFE AI NOW Insights shares curated thinking on AI adoption, GenAI, AI agents, model risk, lifecycle controls and regulatory developments affecting regulated organizations.

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Many thanks for this.

A very useful summary !

Keep them coming please

_

Paul D.

Head of Data & AI Ethics

UK leading Financial Services Group

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Monthly regulatory and market updates
Research notes and point of view
AI value, scale and control in financial services.

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SAFE AI NOW INSIGHTS

Research and perspectives on scaling AI with value, assurance and control.

What you’ll receive

Research notes
Selected observations from research, regulatory publications, standards, market developments and industry discussions on AI, GenAI and emerging AI-agent systems.

Point of view
Short reflections on what emerging AI capabilities could mean for organisations seeking to scale AI with value, assurance and control.

Regulatory & standards updates
Relevant developments in AI governance, the EU AI Act, emerging standards, risk management, third-party AI, model governance and related assurance topics.

Market signals
Examples of how AI adoption, GenAI, vendor AI and AI agents are evolving across regulated and enterprise environments.

Occasional SAFE AI NOW updates
Information about upcoming learning sprints, new resources and selected SAFE AI NOW programmes.

Who this is for

SAFE AI NOW Insights is designed for professionals involved in AI adoption, governance, assurance and scale in regulated organisations.

Best suited for:

AI, data and digital leaders
Risk, compliance and governance professionals
Business and product owners
Technology and enterprise architecture teams
Information security and data governance specialists
Model risk, validation and assurance teams where relevant
Internal audit and internal control
Senior leaders following AI, GenAI and AI-agent developments

Independent perspectives. No hype.

SAFE AI NOW Insights does not provide legal advice, implementation services or firm-specific recommendations.

It shares research, perspectives and regulatory developments to help readers think more clearly about AI value, scale, risk, controls and evidence as AI becomes more embedded in enterprise operations.

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