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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.

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, BBC Research & Development, and contributed to and supported by a range of individual volunteers and supporting organisations. These include The Alan Turing Institute, Finnish […]

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 assessed for effectiveness on dark and light skin tones. Studies have shown that green light lacks precision and accuracy, and may not read at all […]

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 to assess the accuracy of seven commercially available wrist-worn devices in estimating hea… This research paper assesses the accuracy of seven commercially available wrist-worn devices, […]

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 patients has been systematically discriminating against black people, a sweeping analysis has found. The study concluded that the algorithm was less likely to refer black […]

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 use of algorithms in healthcare and how models can introduce bias. They’ll discuss current examples of health care bias, who should be held responsible and […]

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 the allocation or denial of care.

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 in AI integrated systems and what we can do to eliminate it.

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 and practice in the area of AI-based CDS. Regulatory agencies, in cooperation with healthcare… This paper examines AI-based tools for healthcare from a consumer’s perspective. […]

By Adriana Krasniansky Interest in artificially intelligent (AI) health care has grown at an astounding pace: the global AI health care market is expected to reach $17.8 billion by 2025 and AI-powered systems are being designed to support medical activities ranging from patient diagnosis and triagin… AI-powered systems are being designed to support medical activities […]