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Memoirs of the Trustworthy and Responsible AI Conference at Cambridge

Memoirs of the Trustworthy and Responsible AI Conference at Cambridge

Trustworthy and Responsible AI Conference was successfully held at the Downing College of Cambridge University on June 26, 2023.

Relive the inspiring keynote talks, insightful panel discussions, vibrant networking sessions, delightful drink and formal dinner. Experience the energy and passion of the participants as they shared their insights, research findings, and visions for a trustworthy and responsible AI future.

This short video takes a captivating journey through the highlights and memorable moments of the conference, offering a glimpse into the intellectually stimulating atmosphere that permeated every corner. Access to the photographs can be found here.

Watch the Sessions

On-demand here

Conference Details

Principal Partner : Kavli Centre for Ethics, Science and the Public

Other supporting partners : AI@Cam, Bitfount, Centre for Human-Inspired Artificial Intelligence (CHIA) and Cambridge Global Consulting Ltd (CGC). 

Artificial Intelligence (AI) systems are increasingly being deployed in society and generating a profound impact on our daily lives. Despite the various advantages of these AI systems, it is also necessary to prevent their direct and indirect potential harm and risks to the users and society. Therefore, it is critical to ensure that these AI systems are trustworthy, responsible, safe and ethical, in particular in high-stake real-world applications. In the meanwhile, research-users are highly recommended to use AI systems with wisdom, prudence and integrity.  

Trustworthy and responsible AI has been gaining significant attention from the government, industry and scientific communities. This conference will bring together speakers, delegates and research-users with diverse backgrounds, such as industry leaders, policymakers, government officials and frontier academic researchers and data scientists, to share cutting-edge knowledge, inspiring findings and views in this timely and trending domain. Such an occasion will facilitate knowledge dissemination with a wide range of research-users, help identification of challenges and mutual strengths, create opportunities to build and strengthen partnerships and collaborations, take the conversation further through highly interactive discussion and networking activities. 


Opening and Introductions

Session 1: Chair - Dr Lefan Wang

Keynote talks:

  • Prof. Zoe Kourtzi  - Robust and interpretable AI-guided tools for early dementia prediction
  • Dr David Krueger - Baby Steps Towards Safe and Trustworthy AI in Large Scale Deep Learning
  • Dr Richard Milne  - AI, trust and the public

Session 1 Panel Discussion : Chair - Dr Richard Milne

Challenges and issues in existing AI Systems: opaqueness, bias, fragility, privacy invasion, inefficiency, lack of ethical guidelines,..

  • Prof. Alexandra BrintrupProf. Helena Earl, Dr David KruegerDr Richard Milne and Dr Sebastian Pattinson

Session 2: Chair  - Dr. Vihari Piratla

Keynote talks:

  • Prof. Alessandro Abate - Certified learning, or learning for verification?
  • Dr Lucas Dixon - Large Language Models, Prototypes & Responsibility
  • Prof. Miguel Rodrigues - Fair Federated Learning
  • Dr Blaise Thomson - How the real world impacts the use of trustworthy & responsible AI

Session 2 Panel Discussion : Chair -  Dr. Carolyn Ashurst

Measures and Techniques to Achieve Trustworthy and Responsible AI - Enhancing transparency, interpretability, fairness, robustness, privacy protection, efficiency, regulation and accountability, Human-AI collaboration, Continual Monitoring,...

  • Prof. Alessandro AbateDr. Carolyn AshurstDr Lucas Dixon Prof. Miguel RodriguesDr Blaise Thomson and Dr Miri Zilka 

Wrap up and thank you 

Session 3: Poster session and networking 

Speakers, Chairs and Panellists

Biographies can be found here.

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

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