How to Design AI for Social Good: Seven Essential Factors
| Autor: | Luciano Floridi, Josh Cowls, Thomas C. King, Mariarosaria Taddeo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Artificial intelligence
Health (social science) Best practice Social good Subject (philosophy) Context (language use) 02 engineering and technology 0603 philosophy ethics and religion Social issues Transparency Morals AI4SG Management of Technology and Innovation 0202 electrical engineering electronic engineering information engineering Humans Original Research/Scholarship Ethics Philosophy of science Health Policy 06 humanities and the arts Transparency (behavior) Issues ethics and legal aspects Privacy 020201 artificial intelligence & image processing Engineering ethics 060301 applied ethics Safety Psychology |
| Zdroj: | Science and Engineering Ethics |
| ISSN: | 1471-5546 1353-3452 |
| Popis: | The idea of artificial intelligence for social good (henceforth AI4SG) is gaining traction within information societies in general and the AI community in particular. It has the potential to tackle social problems through the development of AI-based solutions. Yet, to date, there is only limited understanding of what makes AI socially good in theory, what counts as AI4SG in practice, and how to reproduce its initial successes in terms of policies. This article addresses this gap by identifying seven ethical factors that are essential for future AI4SG initiatives. The analysis is supported by 27 case examples of AI4SG projects. Some of these factors are almost entirely novel to AI, while the significance of other factors is heightened by the use of AI. From each of these factors, corresponding best practices are formulated which, subject to context and balance, may serve as preliminary guidelines to ensure that well-designed AI is more likely to serve the social good. |
| Databáze: | OpenAIRE |
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