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23 January 2024
Date Added:

Understanding
artificial intelligence
ethics and safety

David Leslie
Author(s):
Department/Study Group:
N/A
Organisation:
The Alan Turing Institute
Country / International Org.:
UK
Short Description:
This document provides end-to-end guidance on how to apply principles of AI ethics and safety to the design
and implementation of algorithmic systems in the public sector.
Abstract:

This document provides guidance on ethical, safe, and responsible development and deployment of Artificial Intelligence (AI), supplementing the Data Ethics Framework. It addresses the convergence of big data, cloud computing, and advanced machine learning, highlighting AI's potential to improve social goods and services. However, it also acknowledges the risks and challenges posed by AI, including bias, discrimination, loss of autonomy, non-transparency, privacy invasion, social disconnection, and unreliable outcomes. The guidance emphasizes the importance of integrating ethical considerations into AI project delivery, involving collaboration among various stakeholders. It aims to ensure that AI technologies align with ethical values and principles, safeguarding community wellbeing and promoting moral conduct in AI development and use. The document outlines potential harms caused by AI systems and provides an ethical framework for responsible AI project delivery.

ethics, safety
Tag(s):
Document Type:
Guide
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