AI Fairness: What does it mean for your business?

The use of AI is transforming all sectors of business and society. In order to do better and innovate responsibly as a society, as businesses, and as individuals, we need widespread strategic approaches to combat various biases. 

Join us in this session where will explore AI fairness and its implications on business of all sizes. We will cover the ways of assessing, measuring, and mitigating bias, as well as the importance of having diverse and multidisciplinary teams, and robust governance and accountability frameworks. 

Register now to find out sector-specific best practices to safeguard privacy while implementing broader responsible AI principles. 

Speakers

● Dr Sara Zannone, Head of Research - Holistic AI

● Anna Thomas, Co-Founder and Director - Institute for the Future of Work 

Chair 

• Graça Carvalho, Director of UCL Centre for Digital Innovation powered by AWS 

UCL Centre for Digital Innovation (UCL CDI) and Responsible Digital Innovation 

With the rapid adoption of technology in business and society there is a growing concern to safeguard the public interest. Researchers, policymakers and industry sharing this view convened to collectively identify key areas of focus in order to foster Digital Innovation - in a practical and empirically informed manner. From these discussions three themes emerged:

1. Building public trust

2. Accountability and Operationalisation

3. Experimentation

The principal aim of the Responsible Innovation Lab is to facilitate experimentation that has accountability and operationalisation of research and ideas at its core. It is in this way that we will foster public trust, community building and communication. The Lab’s mission is also to provide thought-leadership in responsible digital innovation through experimentation.