Ai Related
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Your organisation needs an AI policy. What happens next?
Read more ↗: Your organisation needs an AI policy. What happens next?Practical guidance on AI policy and governance, particularly for organisations building their expertise: clear staff guidance and proportionate oversight.
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AI in financial services: adoption, impact and risks
Read more ↗: AI in financial services: adoption, impact and risksAmong firms in Cambridge’s global survey, AI use is common; proving value is harder. We explore what leaders should measure, which operational risks deserve attention, and when a use case is ready to scale.
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Who’s in charge when your AI makes a mistake?
Read more ↗: Who’s in charge when your AI makes a mistake?When an AI-assisted answer is wrong, who can stop it, correct the customer’s outcome, and decide what happens next? We examine the ownership and human review a business needs before that moment arrives.
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AI in Legal Practice: What the SRA’s Warning Means for Law Firms
Read more ↗: AI in Legal Practice: What the SRA’s Warning Means for Law FirmsThe SRA’s AI warning makes clear that law firms remain responsible for accuracy, confidentiality, supervision and governance. Here’s what firms should do now.
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When Seeing Is No Longer Believing: Deepfakes and the New Crisis of Digital Trust
Read more ↗: When Seeing Is No Longer Believing: Deepfakes and the New Crisis of Digital TrustDeepfakes change how evidence should be handled—not whether evidence still matters.
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Is Your AI Secure? Try Our Self-Assessment Framework
Read more ↗: Is Your AI Secure? Try Our Self-Assessment FrameworkWith 80% of employees using unapproved AI tools and only 6% of organisations having an advanced AI security strategy, the gap between AI adoption and security maturity is creating unprecedented exposure. Our framework examines seven critical domains—from shadow AI and…