Bias and Discrimination in Healthcare AI Models

Video intro screen - a doctor and patient and a list of topics

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.

AI and Bias in Healthcare

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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.

The Challenge of AI Bias and Diverse Healthcare Data

Logos for Visual DX and Healthcare IT Today, and screenshots of the 3 speakers

The double-edged sword of AI with bias; on the one hand it could treat every patient objectively and reduce bias, and on the other could impact certain patient populations adversely by using non-representative data. This video examines the potential of AI in reducing biases within medical diagnosis, by using AI technologies to understand how diseases […]

Racial Bias Found in Health Care Company Algorithm

black patient being checked out by a white doctor

New York news video reporting on the investigation into UnitedHealth Group over allegations that they are utilising a racially biased algorithm. A new study reports that the new AI software leads to lower levels of care for black patients compared to white patients.

Artificial Intelligence in Healthcare: The Need for Ethics

Speaker Varoon Mathur

The advent of AI promises to revolutionise the way we think about medicine and healthcare, but who do we hold accountable when automated procedures go awry? In this talk, Varoon focuses on the lack of affordable medicines within healthcare and the concerns over racial bias being brought into the healthcare system.

AI, Medicine, and Bias: Diversifying Your Dataset is Not Enough

image of talk title and speaker Rachel, Thomas

Using the example of machine learning in medicine as an example, Rachel Thomas examines examples of racial bias within the AI technologies driving modern-day medicines and treatments. Rachel Thomas argues that whilst the diversity of your data set, and performance of your model across different demographic groups is important, this is only a narrow slice […]

Bias + Artificial Intelligence (in Medicine)

Rachel Thomas speaking

Talk by Rachel Thomas on the prevalence of bias within AI-based technology used in medicine. AI has the potential to remove human biases in the healthcare system, however its integration within medicine could also amplify the existing biases.

Racial Bias in Science and Medicine: Who’s Included?

image of man talking

A short video examining the lack of inclusion within clinical biomedical research, and the consequence this has on the effectiveness of the treatments and medicines for non-white patients. Lack of research on minority patients means that we do not understand the racial differences in drug response, and so approved medical treatments are excluding a huge […]

Unmasking Facial Recognition | WebRoots Democracy Festival

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This video is an in depth panel discussion of the issues uncovered in the ‘Unmasking Facial Recognition’ report from WebRootsDemocracy. This report found that facial recognition technology use is likely to exacerbate racist outcomes in policing and revealed that London’s Metropolitan Police failed to carry out an Equality Impact Assessment before trialling the technology at […]

Amazon scraps AI recruiting tool showing bias against women

man talking

In 2018, Amazon’s use of AI for hiring was discovered to favour male job candidates, because its algorithms had been trained on 10 years’ worth of internal data that heavily skewed male. The algorithm was trained, in effect, to believe that male candidates were better than female candidates.