Join the DSxHE Data Diversity Theme and Yale Digital Ethics Center for an interactive session led by Dr. Jessica Morley, exploring responsible and equitable AI in health and care, from practical decision-making to bigger questions about where we’re heading.

We’ll start with a short introduction before taking a closer look at the NHS AI Selection/Assessment Tool, a tool designed to help NHS organisations assess whether an AI product is appropriate to procure and consider its potential equity impacts. We’ll work through examples of how the tool can be used in practice, followed by some open discussion and reflection, with an opportunity to share perspectives, questions and experiences arising from the session.

Finally, we’ll zoom out to the bigger picture. As data and AI become increasingly embedded in health and healthcare, what is happening to the nature of health itself? What questions should we be asking, and what might come next?

About Yale Digital Ethics Center

At the Yale Digital Ethics Center (DEC), we research the governance, ethical, legal, and social implications (GELSI) of digital innovation and technologies and their human, societal, and environmental impact. Through our work, we seek to design a better information society: critical, equitable, just, open, pluralistic, sustainable, and tolerant. We aim to identify and enhance the benefits of digital innovation and technologies while mitigating their risks and shortcomings.

About the DSxHE Data Diversity Theme Partner Events

The DSxHE Data Diversity Theme are co-hosting a series of events to showcase and share existing work, tools, and resources developed with partners across the health research sector. The aim of the events is to

• raise awareness of what is already available

• create space to share learning about how these resources were developed

• help identify priorities for future action.

About the Data Diversity Theme

Health datasets often don’t reflect the diversity of the populations they aim to serve. This lack of representativeness can limit the generalisability of research, reduce the effectiveness of new tools, and risk widening health inequalities.

A partnership between Data Science for Health Equity and Cancer Research UK, the Data Diversity Theme brings together researchers, clinicians, funders, and patient advocates to co-create practical ways of embedding diversity across the research lifecycle. It is co-led by Dr Toral Gathani (University of Oxford) and Dr Brieuc Lehmann (UCL).