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We are developing easy to understand awareness, education and inclusion programmes about the risks and rewards of Artificial Intelligence. We aim to bridge the gap between those making decisions on how AI is used and controlled, and the wider public whose lives are being shaped by it.

We are developing easy to understand awareness, education and inclusion programmes about the risks and rewards of Artificial Intelligence. We aim to bridge the gap between those making decisions on how AI is used and controlled, and the wider public whose lives are being shaped by it.

We are developing easy to understand awareness, education and inclusion programmes about the risks and rewards of Artificial Intelligence. We aim to bridge the gap between those making decisions on how AI is used and controlled, and the wider public whose lives are being shaped by it.

CogX is a Global Leadership Summit and Festival of AI Transformational Technology which brings together professionals from spheres such as business, technology and government.

About us Better images of AI ( betterimagesofai.org) We and AI runs the programme Better images of AI, which is a collaboration with the Leverhulme Centre for the Future of Intelligence, […]

The intent of the study was to determine the influence of skin type and wavelength on light reflectance for pulse rate detection. PPG sensors detecting changes in blood flow are […]

The ability to measure physical activity through wrist-worn devices provides an opportunity for cardiovascular medicine. However, the accuracy of commercial devices is largely unknown. The aim of this work is […]

Study reveals rampant racism in decision-making software used by US hospitals — and highlights ways to correct it. An algorithm widely used in US hospitals to allocate health care to […]

Show Analytics Exchange: Podcasts from SAS, Ep The Health Pulse: AI and Bias in Healthcare – Mar 5, 2021 Data scientist Hiwot Tesfaye joins Greg for a conversation about the […]

AI is helping healthcare organisations determine care management programs and treatment plans – who gets what care – but these models and algorithms can be biased and introduce discrimination in […]

This guest panel series examines the use of AI in assisting healthcare, with a particular focus on automating tasks, communicating diagnoses and allocating resources. It examines the sources of bias […]

This study sheds more light on factors affecting perceived risks and proposes some recommendations on how to practically reduce these concerns. The findings of this study provide implications for research […]