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Mock-up of how a data science project at NHS England could communicate what might go wrong in data science projects, using the labels from the Data Hazards Project.

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Mock-up of a project using data hazards

Warning

This repository may contain references internal to NHS England that cannot be accessed publicly

This repository is a mock-up of how a data science project at NHS England could communicate what might go wrong in data science projects, using the labels from the Data Hazards Project.

You can find out more about the Data Hazards Project on the website.

Contact

This repository is maintained by the NHS England Data Science Team.

To contact us raise an issue on Github or via email.

See our other work on our website.

Description

We are thinking about how we can use the Data Hazard labels to talk about ethical hazards in data science projects in the data science team at NHS ENgland. This README.md demonstrates how this could look.

Important

This does not constitute official policy and is an experimental piece of work. This mock-up and any content are not based on a real piece of work.

Prerequisites

An awareness of the Data Hazards project.

Licence

The original Data Hazards repository is licensed under a CC-BY 4.0 license which allows us to use, remix and share this repo under the condition of proper attribution. The specific adaptations of this repo is © NHS England copyright and available under the terms of the Open Government 3.0 licence. In practice for this context and content these licences are very similar- please use, adapt, and attribute.

Hazards

Hazard: Automates Decision Making Hazard: Lacks Community Involvement Hazard: High Environmental Cost
Hazard: May Cause Direct Harm Hazard: Danger of Misuse Hazard: Ranks or Classifies People Hazard: Difficult to Understand Hazard: Lacks Informed Consent Hazard: Risk to Privacy Hazard: Reinforces Existing Bias

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Mock-up of how a data science project at NHS England could communicate what might go wrong in data science projects, using the labels from the Data Hazards Project.

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