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Two-year study by Digitalis reveals AI chatbots’ reliance on traditional algorithms

April 2026 
By Fred Duff Gordon
Generative AI has transformed how we search for information. Put simply, the front door to the internet has changed for the first time in 25 years. But how do chatbots retrieve information, and how reliable are their responses? Over the past two years, the Research & Development team at Digitalis has analysed over 25,000 sources that sit be…

Policing the unreal: can the law keep up with deepfakes?

March 2026 
By Nicole Trofimov
AI tools have transformed deepfakes from technological curiosities into everyday occurrences, enabling fake video and audio that is often indistinguishable from authentic content. As lawmakers struggle to police the threats deepfakes pose, we explore the challenges around regulation and how we can protect ourselves when tech blurs the lines of rea…

Crisis without comment: how AI fills the silence

December 2025 
By Rudi Moghaddam
The dangers of digital information vacuums are greater than ever, particularly in times of crisis. If authoritative digital content is not available, today’s AI-powered chatbots can fill any gaps with whatever they deem the most relevant information. As AI brings new complexity to crisis communications, we look at the reputational cost of silence.

Erased but remembered – the power of AI to summarise the past

December 2025 
By Malgorzata Peterman-Krawczuk
Generative AI learns from data in many forms, often including sensitive or personal information – and it has a memory more permanent than any archive. As tech giants face criticism and legal action over their use of personal data in AI training, we ask whether AI can ever truly ‘forget’ and look at the data privacy implications for users.

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