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Data Ethics
Framework
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Department for Digital, Culture, Media and Sport (DCMS)
and Government Digital Service (GDS)
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The Data Ethics Framework guides appropriate and
responsible data use in government and the wider public
sector. It helps public servants understand ethical
considerations, address these within their projects,
and encourages responsible innovation.
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For anyone working directly or indirectly with data in
the public sector, including data practitioners
(statisticians, analysts and data scientists),
policymakers, operational staff and those helping
produce data-informed insight, to ensure the highest
ethical standard of their projects.
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August 2018
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A guide to using
AI in the public sector
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Office for AI, Government Digital Service and the Alan
Turing Institute
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The guide to using AI in the public sector is a guide
on how to choose, build and use AI in the public sector
to ensure that government is maximising the benefits of
such technology.
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For public servants deciding whether AI is the right
solution in their project and looking for information
on how to use AI safely and ethically.
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June 2019
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AI procurement
guidelines
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Office for AI and World Economic Forum
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The AI procurement guidelines are a guide that
addresses the ethical uncertainty around AI procurement
so that officials feel equipped to use innovative
technology whilst being able to mitigate risks.
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For public servants and commercial specialists
procuring AI. The guidelines set a baseline for the
harmonisation of AI procurement standards.
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June 2020
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UKSA
Self-assessment
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UK Statistics Authority
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The UK Statistical Authority’s self-assessment aims to
offer researchers an easy-to-use framework to review
the ethics of their projects throughout the research
cycle. The self-assessment provides a timely means to
identify ethical issues and shape future discussions.
The process aims to support an accurate and consistent
estimation of the ethical risk of research proposals.
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For public servants creating statistical research
projects.
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May 2019
|
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Code of conduct
for data-driven health and care technology
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Department of Health and Social Care (DHSC)
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The code of conduct is a guide that tackles a number of
emerging ethical challenges associated with the use of
data-driven technologies in the NHS and the wider
health and care system. It applies data ethics to the
specific sensitivities and challenges of the health
care system. The code of conduct aims to ensure that
the NHS capitalises on the possible technical benefits
for users and staff.
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For public servants involved in health-care specific
projects who are considering the use of data-driven
technologies in their work.
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July 2019
|
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NHSX: A Buyer’s
Checklist for AI in Health and Care
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NHSX
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The Buyer’s Checklist for AI in Health and Social Care
is a short reference checklist to assist the
decision-making of those responsible for procuring AI
solutions in their organisations.
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For procurement officials working in health and social
care; for chief finance officers, service
transformation and commissioning leads, in-house data
scientists and analysts and other chief officers
considering procurement of AI solutions.
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May 2020
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Intelligent
security tools
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National Cyber Security Centre (NCSC)
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The NCSC’s intelligent security tools provide guidance
on using AI tools in the security sector. Consideration
of intelligent security tools is divided into four
sections, each with a series of questions designed to
aid users.
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For public servants looking to use an off the shelf
security tool that employs AI as a core component. It
may also be of use to those developing in-house AI
security tools or when considering AI for some
non-security business function.
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April 2019
|
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The Dstl Biscuit
Book
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Defence, Science and Technology Laboratory (DSTL)
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The Biscuit Book explains some of the most common
terminology in artificial intelligence and data science
in an informative and accessible way. The guide is
arranged as a series of easily digestible chunks that
each cover a topic in a manner that provides the
essential information without being too technical.
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For public servants looking for a non-technical,
easily-digestible guide to AI, data science and machine
learning.
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December 2019
|
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The Magneta
Book
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Her Majesty’s Treasury (HMT)
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The Magneta Book provides guidance on evaluation in
government. It focuses on the scoping, design, conduct,
use and dissemination of evaluations as well as the
capabilities required of government evaluators. It
provides guidance on how to incorporate evaluation
through the design, implementation, delivery and review
stages of policy making. It also explains how results
can be interpreted and presented, and what should be
considered in this process.
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For the policy, delivery and analytical professions,
all of which are responsible for securing and using
good evidence.
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March 2020
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Analytical
Quality Assurance Book (AQuA)
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Her Majesty’s Treasury (HMT)
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The Aqua Book is a good practice guide on analysis and
analytical models. It was created by a
cross-departmental working group on analytical quality
assurance.
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For those working with analysis and analytical models.
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March 2015
|
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Service Standard
- Service Manual
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Government Digital Service (GDS)
|
The Service Standard is a 14-point manual to helps
teams to create and run great public services. The
Service Manual focuses on user needs, as well as the
team involved in the project and how to create the
service.
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For civil servants creating public services using data
and AI.
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June 2019
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