natural language processing

Better governance is required for AI agents

AI agents are one of the most widely deployed types of GenAI initiative in organisations today. There are many good reasons for their popularity, but they can also pose a real threat to IT security. That’s why CISOs need to be keeping a close eye on every AI agent deployed in their organisation. These might…

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Traditional fake news detection fails against AI-generated content

Large language models (LLMs) are capable of generating text that is grammatically flawless, stylistically convincing and semantically rich. While this technological leap has brought efficiency gains to journalism, education and business communication, it has also complicated the detection of misinformation. How do you identify fake news when even experts struggle to distinguish artificial intelligence (AI)-generated…

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Interview: Manish Jethwa, chief technology officer, Ordnance Survey

Manish Jethwa, chief technology officer (CTO) at Ordnance Survey (OS), has a career-long passion for turning geographical data into useful insight. At the UK’s national mapping service, he’s leading the organisation’s development of next-generation geospatial technologies. Jethwa studied engineering science at the University of Oxford, where he focused on what were then considered niche areas,…

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Lloyds and Nationwide to use UK finance sector LLM

Lloyds Banking Group and Nationwide Building Society are set to roll out a generative AI (GenAI) tool that has been specifically designed for the UK finance sector. The tool, known as FinLLM, was developed in the UK by Aveni alongside the two financial services companies, with both also investing money in the firm. The large language…

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Interview: Amanda Stent, head of AI strategy and research, Bloomberg

Amanda Stent was researching natural language generation (NLG) at a time when there were only around 20 people in the world working on it – Stent now heads up all things AI at Bloomberg. Stent completed a PhD in NLG at the University of Rochester in 2001, focusing on natural language generation “well before NLG…

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Secure software procurement in 2025: A call for accountability

The software security landscape is at an interesting juncture. As Jen Easterly, the former director of the Cybersecurity and Infrastructure Security Agency (CISA), pointed out, there is a lesson to be drawn from the automotive industry of the 1960s. Its approach to improving car safety by building better designs – including seatbelts, crumple zones, and…

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AI skills gap blocking public sector take-up

All industries are facing a growing skills gap that is blocking them from effectively implementing artificial intelligence (AI), but this gap is deepest in the public sector, with 60% identifying a shortage of AI skills as their top implementation challenge, according to a study by Salesforce. In the US, federal government agencies are already being…

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Research team tricks AI chatbots into writing usable malicious code

Researchers at the University of Sheffield said they have successfully fooled a number of natural language processing (NLP) generative artificial intelligence (GenAI) tools – including ChatGPT – into producing effective code that can be used to launch real-world cyber attacks. The potential for tools like ChatGPT to be exploited and tricked into writing malicious code…

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Police Scotland five-year digital strategy approved

The Scottish Police Authority (SPA) has approved a five-year digital strategy for Police Scotland that seeks to shift the force from “doing digital” to “being digital” through a series of investments into both new and existing technology capabilities. Drafted with the assistance of consultancy firm Ernst & Young and XXX Capgemini, the strategy outlines priorities…

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AMD survey finds AI hardware lacking in many IT departments

An online survey of 2,500 IT decision-makers conducted by Edelman Data & Intelligence for AMD has found that many are concerned about whether their hardware can cope with artificial intelligence (AI) workloads. AI systems are made up of training data, run on powerful, usually cloud-based graphics processing units (GPU) hardware, which is used to build…

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