Audrey Tang
Boards are being asked to deploy AI faster than they can govern it. The question is no longer whether to adopt the technology but how to make decisions about it that hold up under scrutiny from regulators, employees, and the public. Most organisations have no working model for that, only policies that lag the systems they are meant to oversee.
Audrey Tang served as Taiwan’s first Digital Minister and shows organisations how to design AI and digital systems that earn public trust under real political and operational pressure.
Full Profile
Why organisations work with Audrey Tang
- She has run the experiment that most boards are still debating: AI governance, digital deliberation, and disinformation defence deployed at national scale, with measurable outcomes during a pandemic and a presidential election.
- She offers a working alternative to the binary of techno-libertarianism and centralised AI control, set out in “Plurality” with E. Glen Weyl and tested inside Taiwan’s government.
- She built the civic infrastructure she talks about. g0v, the Mask Map, vTaiwan, and Join.gov.tw are operational systems, not concepts, and have been adopted in Japan, the EU, and the United States.
- Her authority is rare in this category: a TIME100 AI honoree and Foreign Policy Top 100 Global Thinker who has signed off on policy decisions, not just commented on them.
Biography highlights
- First Minister of Digital Affairs of Taiwan, 2022 to 2024; Digital Minister from 2016.
- Co-author with E. Glen Weyl of “Plurality: The Future of Collaborative Technology and Democracy”.
- TIME100 Most Influential People in AI, 2023.
- Foreign Policy Top 100 Global Thinkers, 2019.
- Co-founder of g0v and architect of Taiwan’s open-data COVID-19 response, including the Mask Map.
- Ambassador-at-large, University of Oxford Accelerator Fellowship Programme.
Biography
Most governments responded to COVID-19 with top-down distribution and mandates. Taiwan ran an open-data Mask Map built with civic coders, a participatory platform called vTaiwan, and a disinformation playbook with a 20-minute response window. The minister responsible was Audrey Tang.
Tang served as Taiwan’s first Digital Minister from 2016, and as the first Minister of Digital Affairs from 2022 to 2024. Before government, she was a Silicon Valley engineer and a core contributor to Perl and Haskell. She joined the g0v civic-tech community in its early years and helped shape the open-government practices that later became state policy.
Her book with E. Glen Weyl, “Plurality: The Future of Collaborative Technology and Democracy”, argues that AI and digital tools can be designed to widen democratic participation rather than narrow it. The book was written openly on GitHub, translated by volunteers into more than a dozen languages, and released into the public domain. It draws directly on what Taiwan built and ran.
She has been named to TIME100 AI, Foreign Policy’s Top 100 Global Thinkers, and serves as an ambassador-at-large in the University of Oxford’s Accelerator Fellowship Programme. For a senior audience weighing how to govern AI inside a regulated organisation, she offers something most speakers in this category cannot: a record of decisions made in office, with results visible in pandemic outcomes and election integrity.
Key speaking topics
- Digital democracy and participatory governance
- AI ethics and trustworthy AI design
- Plurality and collaborative technology
- Disinformation defence and election integrity
- Open-source civic infrastructure
- Public trust in technology
- Cybersecurity as democratic resilience
Ideal for
- Boards and executive committees setting AI governance and risk policy
- Chief Digital, Data, and AI Officers designing deployment frameworks
- Public-sector and regulated-industry leaders facing trust and legitimacy questions
- CISOs and risk leads responsible for disinformation, election, or platform integrity
Audience outcomes
- A working mental model for AI governance grounded in a national case, not a thought experiment.
- A clear view of what participatory and open-source approaches add to organisational decision-making, and where they break.
- Specific tactics for disinformation response, drawn from Taiwan’s 2-2-2 playbook.
- A vocabulary for “Plurality” that gives leaders an alternative to the techno-libertarian and centralised-control framings of AI.
Talks
How participatory technology and AI can strengthen rather than erode democratic institutions and corporate trust.
Key takeaways:
- How Taiwan ran AI-assisted deliberation at national scale.
- The governance design choices that made it work.
- Where the same approach applies inside large organisations.
What boards and leadership teams can learn from g0v, vTaiwan, and the Mask Map about coordinating expertise without ceding control.
Key takeaways:
- The reverse-procurement model and why it outperformed centralised distribution.
- How to structure open contribution without losing accountability.
- Practical limits of crowdsourced governance.
How Taiwan defended its 2024 election against sophisticated disinformation, and what the playbook means for any organisation under information attack.
Key takeaways:
- The 2-2-2 response standard: 20 minutes, 200 words, 2 images.
- Coordinating civil society, platforms, and government without a single point of failure.
- Translating public-sector defence into private-sector communications.
Videos
Testimonials
Books
Fees
| EUR | GBP | USD | |
|---|---|---|---|
| Home Country | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| Asia Pacific | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| Europe | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| Middle East & Africa | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| South America | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| United Kingdom | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| US East Coast | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| US West Coast | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| Virtual | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |