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Creating Trustworthy AI

A Mozilla white paper on challenges and opportunities in the AI era

Draft V1.0 — 15 grudnia 2020
Becca Ricks
Mark Surman

Autorzy: Becca Ricks, Mark Surman i Contributors

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Table of Contents

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.

Established in 2003, guided by the Mozilla Manifesto, the Mozilla Foundation believes the internet is a global public resource that must remain open and accessible to all. The Mozilla Foundation is a not-for-profit organization that exists to support and collectively lead the open source Mozilla project. It views its work as part of a global movement for a digital environment that aims at putting people in charge of their own data and that makes the internet a more democratic place by mobilizing a critical mass of conscious internet users. Many staff, fellows, and allies of Mozilla generously contributed data and ideas alongside countless readers who participated.

The report was written by Becca Ricks and Mark Surman.

Contributing authors included: 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; and Solana Larsen.

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