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Wed, 16 Jan 2019 / 19:00 - 21:00
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Register Lecture: For AI's sake - taming the wild data frontier

Blighty's metrology experts define terms

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Register Lecture: For AI's sake – taming the wild data frontier

Blighty's metrology experts define terms

The National Physical Laboratory has quantified many fundamentals during its lifetime – SI units for the second and the metre, for example.

NPL - which is the birthplace of the atomic clock - is now participating in an ambitious project for a universally agreed, standard definition of "what data is".

Data is already beginning to drive society and industry with more coming as frontiers are explored and pushed. Fleets of AI-driven vehicles are planned while major providers in health, banking and financial services seek to take vital decisions about you based simply on their clever analysis of streams and pools of data.

That's all fine until data is described incorrectly and when errors get passed downstream. The capacity for mistakes and mishaps has never been greater, meaning there has never been a better time to agree a standard description of data, its quality and provenance.

But are we too late in introducing controls to this expanding world? And how do you get strong-willed and maverick actors like those in IT - famed for attempting to force their own, de facto standards - to adhere to such work?

Find out with NPL's head of digital Neil Stansfield at our inaugural 2019 Register lecture, on January 16. Neil will explain why the guardian of the UK's primary measurement standard has agreed to embrace such a daunting mission. Well, we guess, if anybody can do this then the place with more applied physicists than anywhere else in the UK can do this. Theoretically.

Neil runs NPL's work on digital technology, data, sensors, quantum technologies and graphene and has previously led government programmes to identity and harness emerging and disruptive technologies.

He will discuss the challenges of standardising data, the technical and international work that's helped establish earlier fundamental standards such as length and time, and how this might provide a pathway to quantifying data.

Along the way we talk combining data flows, the trustworthiness of real-time data in AI, algorithms and much more.

The venue is the Rugby Tavern, 19 Great James St, London, WC1N 3ES. Doors will be open from 18:30 with Neil taking the floor at 19:00. An audience question-and-answer will follow a quick refreshment break.

Ticket and details are here. ®




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