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Updated: Oct 19, 2025

Artificial Intelligence Approaches to Assessing Primary Cilia

Artificial Intelligence Approaches to Assessing Primary Cilia

Published on: May 1, 2021

A high-level overview of AI ethics.

Emre Kazim¹, Adriano Soares Koshiyama¹

¹Computer Science, University College London, Gower St, London WC1E 6EA, UK.

Patterns (New York, N.Y.)

|September 23, 2021

Summary

Artificial intelligence (AI) ethics is a growing field addressing AI's impact. This article introduces AI ethics concepts, approaches, and themes for responsible technology development.

Keywords:

AI ethics Trustworthy AI artificial intelligence governance humane-AI law machine learning philosophy regulation

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Area of Science:

Digital Ethics
Philosophy of Technology
Science and Technology Studies

Background:

AI ethics emerges due to concerns over AI's societal impact.
It is a subset of digital ethics, encompassing AI, big data, and blockchain.
Addresses ethical challenges in developing and deploying new digital technologies.

Purpose of the Study:

Provide a high-level conceptual discussion of AI ethics.
Introduce basic concepts, approaches, and central themes.
Explore predecessors and practical applications of AI ethics.

Main Methods:

Conceptual analysis of AI and ethics.
Exploration of historical and related fields (engineering ethics, philosophy of technology, STS).
Discussion of current approaches (principles, processes, ethical consciousness) and practical translation.

Main Results:

Defines AI and ethics in the context of the field.
Identifies key predecessors and foundational concepts.
Outlines three primary approaches and practical considerations for AI ethics.

Conclusions:

AI ethics is an interdisciplinary field with ongoing debates.
Highlights the need for translating ethical considerations into engineering practice.
Suggests future research directions and unresolved issues in AI ethics.