Reading the Machine Learning literature, you could get the impression that the aim is to develop a perfect model of the real world. That may be true when you are trying to distinguish between dogs and muffins, but for a lot of applications in education, I suspect that a model that achieved perfection would be […]
Month: April 2022
Swaddling AI
I’ve been reading a fascinating paper on “System Safety and Artificial Intelligence”, applying ways of thinking about safety-critical software to Artificial Intelligence (AI). Following is very much my interpretation: I hope it’s accurate but do read the paper as there’s lots more to think about. AI is a world of probabilities, statistics and data. That […]
Visualising the Draft EU AI Act
I’m hoping to use the EU’s draft AI Act as a way to think about how we can safely use Artificial Intelligence. The Commission’s draft sets a number of obligations on both providers and users of AI; formally these only apply when AI is used in “high-risk” contexts, but they seem like a useful “have […]
Explaining Network Telemetry
A really interesting series of talks on how to gather and share information about the performance of networks at today’s GEANT Telemetry and Data Workshop. One of the most positive things was a clear awareness that this information can be sensitive both to individuals and to connected organisations. So, as the last speaker, I decided […]
GDPR Article 21 provides a “right to object” whenever personal data are processed based on either Legitimate Interests or Public Interests. In both cases, an individual can highlight “grounds relating to his or her personal situation” and require the data controller to consider whether there remain “compelling legitimate grounds for the processing which override the […]