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AI Training: Adequate, Relevant and not Excessive!

It’s still common to hear stories where privacy is supposedly in conflict with other objectives. I’ve been writing for years about how that’s not the case in security or access management. This morning’s ICO webinar on Security and Data Minimisation in Artificial Intelligence came up with a counter-example in that field, too… You might think […]

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Improving security and privacy with AI

Two talks at last week’s FIRST conference looked at how Artificial Intelligence might be used in incident response. In both cases, the use of AI improves user privacy directly – by reducing or eliminating the need for human responders to look at user data – and also indirectly, by producing faster detection and mitigation of […]

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Sandbox Tales: Machine Learning

The latest reports from the ICO sandbox provide important clarification of how data protection law applies to, and can guide, the application of novel technologies. This post looks at machine learning… Onfido’s engagement looked at how to train and review the performance of machine learning models. In thinking about that I’d concluded that the GDPR […]

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Working with non-human intelligence

Today’s expert panel on Data Ethics took a fascinating turn: to consider what a healthy relationship between human and AI would look like. Although we tend to discuss characteristics and affordances of technology, proper use of technology depends on the human side of the partnership, too. When choosing or using any tool that uses AI, […]

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AI: thinking about definitions…

To ensure a lively discussion at a recent round-table on AI Ethics participants were asked, provocatively, “was the A Level algorithm fair?”. OK, I can be provoked… It depends on what you mean by “fair”… As has been widely discussed, the main objective set for those who designed the algorithm  seems to have been to […]

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AI: Regulation isn’t enough

Alan Shark’s SOCITM ShareNational keynote looked at why regulation is not sufficient to deal with emerging technologies, and the complementary role that needs to be played by ethics. Although privacy is not the only threat posed by such technologies, it does seem to be the one that has got people interested in the debate, whether over […]

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AI: It’s not (just) what you use…

Allison Gardner’s keynote to the SOCTIM ShareNational conference last week highlighted how using AI responsibly is at least as much about how decisions are made as about the technology itself. Questions of “transparency” often focus on whether the AI is explainable, but how decisions were made – even how a particular problem was identified and […]

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Framing the Algorithm

A panel on Algorithms at the UK IGF asked whether the summer of 2020 was a catastrophe – “mutant algorithm” having entered political discourse – or an opportunity to work with a population that is now much more aware of the personal significance of the debate? “Transparency” is often cited as a remedy, but we […]

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Presentations

AI & Ethics – a mini-MOOC

As part of Jisc’s exploration of Artificial Intelligence, we’ve created a free “mini-MOOC” (mini, because you should be able to complete it in 30 minutes, or longer if you do the additional reading). We’re planning to run it monthly, but you can sign up any time for the next run. The course, and the format […]

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Machine Learning and Data Protection

Might some of the problems in applying data protection law to machine learning arise because we’re using too simple a model? Sometimes an over-simplified model can be hard to apply in practice. So here’s a model that’s a bit more complex but, I hope, a lot easier to apply. It’s also a lot more informative, […]