The Recommendations

The potential for artificial intelligence (AI) to benefit our health must be balanced against the risks posed by algorithmic bias and harms. These technologies may work better for some groups and worse for others, causing or worsening health inequalities.

STANDING Together aims to ensure that inclusivity and diversity are considered when developing health datasets and AI health technologies.

We have built recommendations, through an international consensus process, which provide guidance on transparency around 'who' is represented in the data, 'how' people are represented, and how data is used when developing AI technologies for healthcare.

By getting the data foundation right, STANDING Together ensures that 'no-one is left behind' as we seek to unlock the benefits of AI in healthcare.


We intend for these items to be...

An extended scientific paper on these recommendations, including detailed explanatory text giving context and rationale for each item, will be published in due course.

STANDING Together is building STANdards for data Diversity, INclusivity, & Generalisablity. Established in 2021 as part of the NHS AI Lab’s AI Ethics initiative, it is a partnership between over 30 academic, regulatory, policy, industry, and charitable organisations worldwide. STANDING Together is funded by the NHS AI Lab at the NHS Transformation Directorate and The Health Foundation and managed by the National Institute for Health and Care Research (AI_HI200014).