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Interest in the use of AI in defence has massively increased thanks partly to the widespread use of large-language models such as ChatGPT and partly to the investment defence is making in AI in the wake of Russia's invasion of Ukraine. Alas, with this interest comes a massive increase in the hype, misunderstandings and unrealistic expectations created by those who talk about AI without having any practical experience of developing and implementing AI in defence. This poses the risk of huge disappointments and a resulting backlash that could hold back the military advantage we get from AI. What…mehr

Produktbeschreibung
Interest in the use of AI in defence has massively increased thanks partly to the widespread use of large-language models such as ChatGPT and partly to the investment defence is making in AI in the wake of Russia's invasion of Ukraine. Alas, with this interest comes a massive increase in the hype, misunderstandings and unrealistic expectations created by those who talk about AI without having any practical experience of developing and implementing AI in defence. This poses the risk of huge disappointments and a resulting backlash that could hold back the military advantage we get from AI. What can defence do to minimise the risks of falling into the cycle of overpromise, overspend, underdeliver? This book offers one solution; to learn the lessons from those who have actually developed and implemented AI into defence, from initial concept to use by defence organisations. It covers the practicalities of defining what AI actually is, understanding how defence deals with trust and ethics, the steps that lead to the utilisation of AI for a range of different use cases, and how to see past the potential smoke and mirrors when testing AI.
Autorenporträt
Darrell founded DIEM Consulting Ltd in 2002 after a career that had encompassed strategic decision making within the UK Ministry of Defence and advising corporates & governments at the London office of leading strategy consultants McKinsey & Co. He then founded DIEM Analytics Ltd in 2011 to conduct R&D into decision-aides and AI, and has led DIEM's projects for the UK and US military, think-tanks and NATO. He sits on the UK MOD's AI Ethics Advisory Panel and has lectured on Strategic Change at Birkbeck College, University of London and the Role of the Board at the UK Defence Academy. He has featured in articles in Janes International Defence Review and UK MOD publications, and has published articles on strategy in the prestigious McKinsey Quarterly, on how risk should be communicated to the board in Risk Management magazine & on stakeholder engagement in Expert Witness magazine. He has a degree in Engineering from Christ's College Cambridge and a PhD in Ballistics from the Royal Military College of Science, Cranfield University.