Data quality Archives - Page 5 of 13

This document specifies requirements and provides guidance for establishing, implementing, maintaining and continually improving the quality for data used in…

Draft

Last Updated: 18 Jul 2024

P7003

Algorithmic Bias Considerations

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Horizontal AI-specific Bias and discrimination Data quality

Stakeholder engagement and communication Process, management and governance

This standard describes specific methodologies to help users certify how they worked to address and eliminate issues of negative bias…

Draft

Last Updated: 18 Jul 2024

Research and analysis item

The Bank of England and the Financial Conduct Authority launched the Artificial Intelligence Public-Private Forum (AIPPF) on 12 October 2020.

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Topic:

Data Data protection Data quality Ethical considerations Explainability and transparency Good practice for development and use Organisational governance Risk management

Domain:

Financial services

Last Updated: 4 Sep 2023

Research and analysis item

Ethics of machine learning in children’s social care

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Topic:

Accountability Bias and discrimination Data collection Data processing Data quality Ethical considerations Human rights

Domain:

Public sector

Across the press, academia, and the worlds of policy and practice, concerns abound about the possible impacts of the growing…

Last Updated: 12 Oct 2022

Research and analysis item

Good practice in training set preparation for marine navigation systems

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Topic:

Data collection Data processing Data quality Good practice for development and use

Last Updated: 12 Oct 2022

Reports, resolutions, and position papers

Better, broader, safer: using health data for research and analysis

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Topic:

Data Data collection Data processing Data protection Data quality Safety Security and resilience

Domain:

Healthcare and medicine

Professor Ben Goldacre was commissioned by the government in February 2021 to review how to improve safety and security in…

Last Updated: 12 Oct 2022

Official policy proposals and consultations

Guidance on the AI auditing framework: draft guidance and consultation

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Topic:

Assurance and testing Data Data collection Data processing Data protection Data quality Ethical considerations Good practice for development and use

Domain:

Horizontal

Applications of artificial intelligence (AI) increasingly permeate many aspects of our lives. We understand the distinct benefits that AI can…

Last Updated: 19 Dec 2022

Regulation and official guidance

Explaining decisions made with AI

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Topic:

Accountability Data Data collection Data processing Data protection Data quality Ethical considerations Explainability and transparency Good practice for development and use

Domain:

Horizontal

This co-badged guidance by the ICO and The Alan Turing Institute aims to give organisations practical advice to help explain…

Last Updated: 19 Dec 2022

Regulation and official guidance

Explaining decisions made with AI: a workbook (use case 1: AI-assisted recruitement tool)

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Topic:

Accountability Data Data collection Data processing Data protection Data quality Ethical considerations Explainability and transparency Good practice for development and use

Domain:

HR, recruitment and employment

Over the last two years, The Alan Turing Institute and the Information Commissioner’s Office (ICO) have been working together to…

Last Updated: 24 Jan 2023

Regulation and official guidance

Explaining decisions made with AI: a workbook (use case 2: machine learning for children’s social care)

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Topic:

Accountability Data Data collection Data processing Data protection Data quality Ethical considerations Explainability and transparency Good practice for development and use

Domain:

Public sector

Over the last two years, The Alan Turing Institute and the Information Commissioner’s Office (ICO) have been working together to…

Last Updated: 24 Jan 2023

Content Type

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 1: Overview, terminology, and examples

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines

Algorithmic Bias Considerations

The Bank of England and the Financial Conduct Authority launched the Artificial Intelligence Public-Private Forum (AIPPF) on 12 October 2020.

Ethics of machine learning in children’s social care

Good practice in training set preparation for marine navigation systems

Guidance on the AI auditing framework: draft guidance and consultation

Explaining decisions made with AI

Explaining decisions made with AI: a workbook (use case 1: AI-assisted recruitement tool)

Explaining decisions made with AI: a workbook (use case 2: machine learning for children’s social care)

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