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Actionable Principles for Artificial Intelligence Policy: Three Pathways.

Charlotte Stix¹

¹Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, The Netherlands. c.stix@tue.nl.

Science and Engineering Ethics

|February 20, 2021

Summary

This summary is machine-generated.

This study introduces a new framework for creating actionable artificial intelligence (AI) ethics principles that can be implemented in government policy. It addresses the gap between AI ethics principles and their practical application in policy development.

Keywords:

Actionable principles Artificial intelligence policy Ethics Ethics of artificial intelligence Governance of artificial intelligence

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Area of Science:

Computer Science
Public Policy
Ethics

Background:

Governmental artificial intelligence (AI) policy development often relies on AI Ethics Principles.
These principles frequently lack practical implementation within policy processes.
A need exists for a more actionable approach to integrating AI ethics into policy.

Purpose of the Study:

To propose a novel framework for developing 'Actionable Principles for AI'.
To enhance the practical implementability of AI Ethics Principles in governmental policy.
To contribute a prototype framework for actionable AI policy development.

Main Methods:

Reviewing and extracting methodological elements from the European Commission's High-Level Expert Group on AI's development process for Ethics Guidelines for Trustworthy AI.
Expanding upon and evaluating these extracted elements for their contribution to a prototype framework.
Proposing three key propositions for the formation of an actionable AI principles framework.

Main Results:

The study identifies key methodological elements for increasing the practical implementability of AI Ethics Principles.
A prototype framework for developing 'Actionable Principles for AI' is proposed.
Three core propositions are put forth: preliminary landscape assessments, multi-stakeholder participation, and implementation/operationalization mechanisms.

Conclusions:

Existing AI Ethics Principles require methodological enhancements for effective policy integration.
The proposed framework offers a pathway to bridge the gap between AI ethics principles and actionable governmental policy.
The three propositions provide a foundation for creating practical and implementable AI governance.