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Créer une IA digne de confiance

Un livre blanc de Mozilla sur les défis et les opportunités à l’ère de l’IA

Projet V1.0 — 15 décembre 2020
Becca Ricks
Mark Surman

Rédigé par Becca Ricks, Mark Surman et Contributors

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Table des matières

README

Executive Summary

What’s at stake
Making trustworthy AI a reality
Working like a movement

Challenges with AI

Introduction
1. Monopoly and Centralization
2. Data Governance and Privacy
3. Bias and Discrimination
4. Accountability and Transparency
5. Industry Norms
6. Exploitation of Workers and the Environment
7. Safety and Security

The Path Forward

Conclusion

References

Introduction to the Theory of Change

1. Shifting Industry Norms

1.1 Best practices emerge in key areas of trustworthy AI, driving changes to industry norms.
1.2 Engineers, product managers, and designers with trustworthy AI training and experience are in high demand across industry.
1.3 Diverse stakeholders — including communities and people historically shut out of tech — are involved in the design of AI.
1.4 There is increased investment in and procurement of trustworthy AI products, services and technologies.

2. Building New Tech and Products

2.1 More foundational trustworthy AI technologies emerge as building blocks for developers.
2.2 Transparency is included as a feature in more AI enabled products, services, and technologies.
2.3 Entrepreneurs develop — and investors support — alternative business models for consumer tech.
2.4 The work of artists and journalists helps people understand, imagine, and critique what trustworthy AI looks like.

3. Generating Demand

3.1 Trustworthy AI products and services emerge that serve the needs of people and markets previously ignored.
3.2 Consumers are increasingly willing and able to choose products critically based on information regarding AI trustworthiness.
3.3 Citizens are increasingly willing and able to pressure and hold companies accountable for the trustworthiness of their AI.
3.4 A growing number of civil society actors are promoting trustworthy AI as a key part of their work.

4. Creating Regulations and Incentives

4.1 Governments develop the vision, skills, and capacities needed to effectively regulate AI, relying on both new and existing laws
4.2 Progress toward trustworthy AI is made through wider enforcement of existing laws like the GDPR.
4.3 Regulators have access to the data and expertise they need to scrutinize the trustworthiness of AI in consumer products and services.
4.4 Governments develop programs to invest in and incent trustworthy AI.

Créée en 2003 et guidée par le Manifeste de Mozilla, la Fondation Mozilla est convaincue qu’Internet est une ressource publique mondiale qui doit rester ouverte et accessible à tout le monde. La Fondation Mozilla est une organisation à but non lucratif qui existe pour soutenir et piloter collectivement le projet open source Mozilla. Elle considère son travail comme faisant partie d’un mouvement international pour un environnement numérique qui vise à mettre les individus en charge de leurs propres données et à rendre Internet plus démocratique en mobilisant une masse critique d’internautes sensibilisés. De nombreux membres du personnel, titulaires de bourses et alliés de Mozilla ont généreusement fourni des données et des idées, aux côtés d’innombrables lecteurs qui ont participé.

Le rapport a été rédigé par Becca Ricks et Mark Surman.

Les auteurs et autrices qui ont contribué : Abigail Cabunoc Mayes ; Ashley Boyd ; Brandi Geurkink ; Cathleen Berger ; David Zeber ; Frederike Kaltheuner ; Ilana Segall ; J.Bob Alotta ; Jane Polak Scowcroft ; Jess Stillerman ; Jofish Kaye ; Kevin Zawacki ; Marshall Erwin ; Martin Lopatka ; Mathias Vermeulen ; Muriel Rovira Esteva ; Owen Bennett ; Rebecca Weiss ; Richard Whitt ; Sarah Watson ; et Solana Larsen.

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