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How to Design AI for Social Good: Seven Essential Factors.
Luciano Floridi1,2, Josh Cowls3,4, Thomas C King1
1Digital Ethics Lab, Oxford Internet Institute, University of Oxford, Oxford, UK.
Science and Engineering Ethics
|April 5, 2020
Summary
Artificial intelligence for social good (AI4SG) offers solutions to societal challenges. This study identifies seven key ethical factors and best practices to guide AI4SG initiatives and ensure AI benefits society.
Area of Science:
- Computer Science
- Ethics
- Sociology
Background:
- Artificial intelligence for social good (AI4SG) is an emerging field with significant potential to address societal issues.
- A lack of clear theoretical understanding and practical guidelines hinders the consistent success and replication of AI4SG initiatives.
- Existing AI4SG projects offer valuable insights but require a structured ethical framework for broader application.
Purpose of the Study:
- To define the theoretical underpinnings of socially beneficial artificial intelligence.
- To identify practical criteria for what constitutes AI for social good (AI4SG).
- To establish reproducible policy guidelines for AI4SG initiatives.
Main Methods:
- Analysis of 27 diverse case examples of AI4SG projects.
- Identification of seven core ethical factors crucial for AI4SG.
- Formulation of best practices derived from these ethical factors.
Main Results:
- Seven essential ethical factors for AI4SG have been identified.
- Some factors are novel to AI, while others gain heightened importance due to AI's application.
- Best practices are proposed as preliminary guidelines for developing AI for social good.
Conclusions:
- A structured ethical framework is necessary for effective AI4SG implementation.
- The identified factors and best practices can guide future AI4SG projects towards greater social impact.
- Ensuring AI serves the social good requires careful consideration of ethical principles and context-specific application.
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