Scope: AI

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The ironic reality of automated recruitment matching algorithms

Out of the blue, I just received an invitation to apply for a job as Tax legal advisor. Contrary to their belief (hopefully not yours), I have developed a different kind of expertise (maybe I should offer my services to help them improve their understanding of their data). If, unlike them, you think I might […]

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The corporate obsession with appointing an executive Chief AI Officer

You’re a Chief AI Officer! And you! And you too!” – Recently, requiring AI officers has become all the rage. (Funnily enough, there were Chief Internet Officers at one point, and there may still be vestiges of the role of Chief Blockchain Officer in some places) In the US, the White House Office of Management […]

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Op-Ed: If AI replaces work for junior lawyers, what happens next?

“AI won’t replace you – a lawyer who uses it will” is quickly becoming a cliché – but what about junior lawyers and the next generation(s)? A newly published study on legal contract review brings this question again into focus (Better Call GPT, Comparing Large Language Models Against Lawyers), as it concludes that “LLMs perform […]

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Clearing up the confusion around the multiple adoptions of the AI Act

Confusing, much? With all the “AIAct adopted” posts, 2 months after the previous flood of “AI Act adopted” posts, anyone not following closely might think “What, again?”. (+ rinse and repeat in a few weeks during European Parliament phases) So here’s the explanation: today’s COREPER vote by EU Member States was one of two critical […]

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Let’s discuss third-party risk management and data governance in Brussels

Are you keen to have a discussion about datagovernance and third-party risk management (AI, cybersecurity, ESG), and will you be in Brussels (or come to Brussels) early March 2024? We are holding a complimentary event on 8 March for businesses and trade associations, with breakout sessions on these topics, as well as (in parallel) sessions […]

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Why tech developers and lawyers must identify the exact problem before adopting AI tools

As a Data/Tech lawyer and software developer, I love innovation. But I am also cautious about using solutions without first knowing which problem precisely they will solve – or using technology without first thinking about issues that may arise from their use. I have been helping companies on the use of artificialintelligence tools for several […]

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Why advising on the AI Act before the final text is published is a major gamble

Amazing how many posts I see from law firms and consultants about the AI Act and saying they can advise on the implications for businesses – before the details of the final text are known! We know some of the general ideas, but don’t run to lawyers just yet for precise advice – or risk […]

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Why letting an AI bot join group meetings without consent is a corporate risk

Pro tip: next time you want to let an AI bot join a group call on your behalf, make sure that all participants are OK with it. (In recent calls within the digitalecosystem and adtech industry, it’s like every week we have to boot a new transcription bot that was invited by a different person […]

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Why claims of 100% GDPR compliance for AI software are a myth

100% GDPR compliant” claims seem to have made a big comeback with the flurry of GenerativeAI tools being released*. As a reminder, claiming that a software solution is GDPR compliant is a marketing trick at best and misleading at worst. First, if you’re not sure what the sources are on which a particular AI system […]

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Utilizing the new ENISA report to build a comprehensive security strategy for AI

Looking for good practices re AI security? The new ENISA report can help. It shows the need for a broad strategy that takes into account various risks (including legal ones) regarding not just your machine-learning algorithm or other tool but also the data sources themselves and the expected output. Bias, for instance, is not a […]

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