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23 guidance documents

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23 guidance documents
Project Phase Across Lifecycle
  • This paper builds on existing data laws and ethical principles, as well as the Geospatial Commission’s own research.

  • The Technology Code of Practice is a set of criteria to help government design, build and buy technology.

  • The Model for Responsible Innovation is a practical tool created by DSIT’s Responsible Technology Adoption Unit (RTA) to help teams across the public sector and beyond to innovate responsibly with data and AI.

  • The PETs Adoption Guide is a question-based flowchart to aid decision-makers in thinking through which Privacy Enhancing Technologies (PETs) may be useful in their projects.

  • This guide introduces key AI assurance concepts and terms and situates them within the wider AI governance landscape.

  • This page provides details about DSIT's portfolio of AI assurance techniques and how to use it.

  • This review considers the impact that an increasing use of algorithmic tools is having on bias in decision-making, the steps that are required to manage risks, and the opportunities that better use of data offers to enhance …

  • The Data Ethics Framework guides appropriate and responsible data use in government and the wider public sector.

  • The Digital, Data and Technology (DDaT) Playbook provides guidance on sourcing and contracting for digital, data and technology projects and programmes.

  • Guidance on the expected standards and responsibilities when designing/conducting social and behavioural research for/on-behalf of government.

  • This high-level guidance explores ethical considerations associated with the use of machine learning techniques for research and statistical purposes.

  • Guidance for procuring and deploying AI responsibly in the HR and recruitment sector.

  • Towards a data quality culture: principles and practices to assess, communicate and improve the quality of data in government.

  • This 7 point framework will help government departments with the safe, sustainable and ethical use of automated or algorithmic decision-making systems.

  • Guidance on Artificial Intelligence (AI) in public sector services from the Equality and Human Rights Commission.

  • A comprehensive guide designed to support businesses and organisations in Scotland in implementing Artificial Intelligence (AI) in a trustworthy, ethical, and inclusive manner.

  • The Scottish AI Register provides information on the Artificial Intelligence (AI) systems in use or in development within the Scottish public sector.

  • This guidance document explores ethical considerations in the use of geospatial data for research, analysis and statistics.

  • This brief guidance has been developed by the UK Statistics Authority’s Centre for Applied Data Ethics. It aims to help researchers, statisticians and analysts to consider the public good of their research.

  • This guidance provides an overview of how project teams can consider public views regarding the use of data within their research and statistics projects.

  • This guidance document explores ethical considerations in the use of synthetic data for research, analysis, and statistics.

  • Understand how to use artificial intelligence ethically and safely.

  • This co-badged guidance by the ICO and The Alan Turing Institute aims to give organisations practical advice to help explain the processes, services and decisions delivered or assisted by AI, to the individuals affected by t…