Millions of black people affected by racial bias in healthcare algorithms
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 people than white people who were equally sick to programmes that aim to improve care for patients with […]
Understanding Racial Bias in Medical AI Training Data
AI-powered systems are being designed to support medical activities ranging from patient diagnosis and triaging to drug pricing. But when AI systems are trained on misrepresentative data sets they stand to develop discriminatory biases. Three case studies are explored that demonstrate the potential for racial bias in medical AI, including how AI may be used […]
Understanding Racial Bias in Medical AI Training Data
AI-powered systems are being designed to support medical activities ranging from patient diagnosis and triaging to drug pricing. But when AI systems are trained on misrepresentative data sets they stand to develop discriminatory biases. Three case studies are explored that demonstrate the potential for racial bias in medical AI, including Melanoma Diagnosis and Diagnosis using […]
AI-Driven Dermatology Could Leave Dark-Skinned Patients Behind
AI technologies have the potential to save thousands of people from skin cancer yearly, by aiding early diagnosis. However, this shift is also potentially dangerous for darker-skinned patients, as the demographic imbalances in dermatology can leave machine learning diagnoses less effective for darker-skinned patients.
Can AI Tackle Racial Inequalities in Healthcare?
News article, drawing on a study by Nature Medicine, which explains how algorithms might be able to help tackle racial biases within doctors’ own judgements. Doctors’ judgement of how much pain a patient is feeling has been linked to discrimination and racism, with black patients likely to have their pain level underestimated, which can adversely […]
Using Simulated Data to Generate Images of Climate Change
Case Study: Explores the potential of using images from a simulated 3D environment to improve a domain adaptation task carried out by the MUNIT architecture, aiming to use the resulting images to raise awareness of the potential future impacts of climate change. The case study aims to develop an interactive website that, given a user-entered […]
Why the Climate Change AI Community Should Care About Weather: A New Approach for Africa
Case Study: Community perspective of the game-changing socio-economic value that could be achieved with better forecasts, especially among vulnerable communities. The paper presents a new way to view this opportunity by better understanding the problem, with the goal of inspiring the Climate Change AI community to contribute to this important aspect of the climate adaptation […]
Using Satellite Images and Artificial Intelligence to Improve Agricultural Resilience
Case Study: Most of Rwanda’s crop production comes from smallholder farms. The country’s agriculture officials have historically had insufficient data on where crops are cultivated or how much yield to expect — a hindrance for government’s future planning. Building on previous work with emerging technologies, machine learning, economics, and agriculture, the paper develops a new […]
How Flood Mapping From Space Protects The Vulnerable And Can Save Lives
Case Study: pioneering flood mapping and response organization that uses high-cadence, high-resolution satellite imagery to build country-wide flood monitoring and dynamic analytics systems for the most vulnerable around the world.
