Bayes Centre

Interpretability, safety, and security in AI

This conference - organised under the auspices of the Isaac Newton Institute “Mathematics of Deep Learning” Programme — brings together leading researchers along with other stakeholders in industry and society to discuss issues surrounding trustworthy artificial intelligence.

This conference will overview the state-of-the-art within the wide area of trustworthy artificial intelligence including machine learning accountability, fairness, privacy, and safety; it will  overview emerging directions in trustworthy artificial intelligence, and engage with academia, industry, policy makers, and the wider public.

The conference consists of two parts:

1) Academic-oriented event - Monday 13 December (10:00 - 16:45 GMT)

2) Public-oriented event - Tuesday 14 - Wednesday 15 December (12:00 - 18:00 GMT)

dice being thrown

Interpretability, safety, and security in AI

This public event brings together leading academics, leading industrialists, policy makers, or journalists in order to foster conversations with the wider public about the merits and perils of artificial intelligence technology.