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)