Events

How to Quantify AI Explainability for Improved Safety and Trust

Avi Rosenfeld

26 January 2023 3:00 pm - 4:30 pm

STAI CDT PhD Student Seminar Afternoon

7 December 2022 12:00 pm - 6:00 pm

From Model-free to Model-based AI: Target Languages for Learning in Planning

Hector Geffner

14 July 2021 9:30 am - 12:45 pm

AI in Industry: the case of British Telecom

Detlef Nauck

13 July 2021 2:00 pm - 5:15 pm

AI, Norms and Institutions

Nardine Osman

13 July 2021 9:30 am - 12:45 pm

Ethics of AI

Michael Rovatsos

12 July 2021 10:00 am - 1:15 pm

XAI/Explainable AI

Oana Cocarascu

12 July 2021 2:15 pm - 5:30 pm

Explainability for AI and Law in the Wild

Prof Katie Atkinson

7 July 2021 2:00 pm - 3:00 pm

Grounded Compositionality in AI

Aldo Gangemi

31 March 2021 2:00 pm - 3:00 pm

Value-aligned norm selection

Marc Serramià

26 March 2021 - 3:00 pm

Generating faithful and interpretable explanations for the classifications of a deep neural network

Sophia Kalanovska, Year 2 STAI CDT Student

5 March 2021 2:00 pm - 3:00 pm

Transitioning from Researcher to Start-up Founder

Dr Ronal Ashri

24 February 2021 2:00 pm - 3:00 pm

Using Arguments to Update Quantified Beliefs

Nandi Schoots

19 February 2021 2:00 pm - 3:00 pm

Analysis and Control of Active Particle Systems

Aamal Hussain, Year 2 STAI CDT Student

20 January 2021 2:00 pm - 3:00 pm

Ensuring AI Robustness & Safety: An Industry Perspective

Tarek Besold

2 December 2020 2:00 pm - 3:30 pm

Neural-Symbolic Computing

Professor Artur d'Avila Garcez

13 May 2020 2:00 pm - 3:00 pm