Rewiring Democracy

How AI Will Transform Our Politics, Government, and Citizenship

Part of Strong Ideas

From the New York Times–bestselling author of The Hacker's Mind and Data & Goliath, an informative and wide-ranging exploration of how AI will alter every facet of democracy, and how to harness the technology to distribute rather than concentrate power.

AI is changing democracy. We still get to decide how.

AI’s impact on democracy will go far beyond headline-grabbing political deepfakes and automated misinformation. Everywhere it will be used, it will create risks and opportunities to shake up long-standing power structures.

In this highly readable and advisedly optimistic book, Rewiring Democracy, security technologist Bruce Schneier and data scientist Nathan Sanders cut through the AI hype and examine the myriad ways that AI is transforming every aspect of democracy—for both good and ill.

The authors describe how the sophistication of AI will fulfill demands from lawmakers for more complex legislation, reducing deference to the executive branch and altering the balance of power between lawmakers and administrators. They show how the scale and scope of AI is enhancing civil servants’ ability to shape private-sector behavior, automating either the enforcement or neglect of industry regulations. They also explain how both lawyers and judges will leverage the speed of AI, upending how we think about law enforcement, litigation, and dispute resolution.

Whether these outcomes enhance or degrade democracy depends on how we shape the development and use of AI technologies. Powerful players in private industry and public life are already using AI to increase their influence, and AIs built by corporations don’t deliver the fairness and trust required by democratic governance. But, steered in the right direction, AI’s broad capabilities can augment democratic processes and help citizens build consensus, express their voice, and shake up long-standing power structures.

Democracy is facing new challenges worldwide, and AI has become a part of that. It can inform, empower, and engage citizens. It can also disinform, disempower, and disengage them. The choice is up to us. Schneier and Sanders blaze the path forward, showing us how we can use AI to make democracy stronger and more participatory.
Preface
Introduction
1. Core AI Capabilities
2. Democracy as an Information System
Part I: AI-Assisted Politics
3. Background: Making Mistakes
4. Talking to Voters
5. Conducting Polls
6. Organizing a Political Campaign
7. Fundraising for Politics
8. Being a Politician
Part II: AI-Assisted Legislators
9. Background: Explaining Itself
10. Background: Who’s to Blame?
11. Listening to Constituents
12. Writing Laws
13. Writing More Complex Laws
14. Writing Laws that Empower Machines
15. Negotiating Legislation
Part III: The AI-Assisted Administration
16. Background: Exhibiting Values and Bias
17. Background: Augmenting Versus Replacing People
18. Serving People
19. Operating Government
20. Enforcing Regulations
Part IV: The AI-Assisted Court
21. Background: Being Fair
22. Background: Getting Hacked
23. Acting as a Lawyer
24. Arbitrating Disputes
25. Enforcing the Law
26. Reshaping Legislative Intent
27. Being a Judge
Part V: AI-Assisted Citizens
28. Background: AI and Power
29. Background: AI and Trust
30. Explaining the News
31. Watching the Government
32. Moderating, Facilitating, and Building Consensus
33. Acting as Your Personal Advocate
34. Acting as Your Personal Political Proxy
Part VI: Ensuring That AI Benefits Democracy
35. Why AI is Not Yet Good for Democracy
36. How to Ensure AI is Good for Democracy
37. What We Need to Do Now
38. Conclusion
Bruce Schneier is an internationally renowned security technologist and the New York Times bestselling author of 14 books, including A Hacker’s Mind. He is Lecturer at the Harvard Kennedy School, a board member of EFF, and Chief of Security Architecture at Inrupt, Inc.
Nathan E. Sanders is a data scientist focused on making policymaking more participatory. His research spans machine learning, astrophysics, public health, environmental justice, and more. He has served in fellowships at the Massachusetts legislature and the Berkman-Klein Center at Harvard University.

About

From the New York Times–bestselling author of The Hacker's Mind and Data & Goliath, an informative and wide-ranging exploration of how AI will alter every facet of democracy, and how to harness the technology to distribute rather than concentrate power.

AI is changing democracy. We still get to decide how.

AI’s impact on democracy will go far beyond headline-grabbing political deepfakes and automated misinformation. Everywhere it will be used, it will create risks and opportunities to shake up long-standing power structures.

In this highly readable and advisedly optimistic book, Rewiring Democracy, security technologist Bruce Schneier and data scientist Nathan Sanders cut through the AI hype and examine the myriad ways that AI is transforming every aspect of democracy—for both good and ill.

The authors describe how the sophistication of AI will fulfill demands from lawmakers for more complex legislation, reducing deference to the executive branch and altering the balance of power between lawmakers and administrators. They show how the scale and scope of AI is enhancing civil servants’ ability to shape private-sector behavior, automating either the enforcement or neglect of industry regulations. They also explain how both lawyers and judges will leverage the speed of AI, upending how we think about law enforcement, litigation, and dispute resolution.

Whether these outcomes enhance or degrade democracy depends on how we shape the development and use of AI technologies. Powerful players in private industry and public life are already using AI to increase their influence, and AIs built by corporations don’t deliver the fairness and trust required by democratic governance. But, steered in the right direction, AI’s broad capabilities can augment democratic processes and help citizens build consensus, express their voice, and shake up long-standing power structures.

Democracy is facing new challenges worldwide, and AI has become a part of that. It can inform, empower, and engage citizens. It can also disinform, disempower, and disengage them. The choice is up to us. Schneier and Sanders blaze the path forward, showing us how we can use AI to make democracy stronger and more participatory.

Table of Contents

Preface
Introduction
1. Core AI Capabilities
2. Democracy as an Information System
Part I: AI-Assisted Politics
3. Background: Making Mistakes
4. Talking to Voters
5. Conducting Polls
6. Organizing a Political Campaign
7. Fundraising for Politics
8. Being a Politician
Part II: AI-Assisted Legislators
9. Background: Explaining Itself
10. Background: Who’s to Blame?
11. Listening to Constituents
12. Writing Laws
13. Writing More Complex Laws
14. Writing Laws that Empower Machines
15. Negotiating Legislation
Part III: The AI-Assisted Administration
16. Background: Exhibiting Values and Bias
17. Background: Augmenting Versus Replacing People
18. Serving People
19. Operating Government
20. Enforcing Regulations
Part IV: The AI-Assisted Court
21. Background: Being Fair
22. Background: Getting Hacked
23. Acting as a Lawyer
24. Arbitrating Disputes
25. Enforcing the Law
26. Reshaping Legislative Intent
27. Being a Judge
Part V: AI-Assisted Citizens
28. Background: AI and Power
29. Background: AI and Trust
30. Explaining the News
31. Watching the Government
32. Moderating, Facilitating, and Building Consensus
33. Acting as Your Personal Advocate
34. Acting as Your Personal Political Proxy
Part VI: Ensuring That AI Benefits Democracy
35. Why AI is Not Yet Good for Democracy
36. How to Ensure AI is Good for Democracy
37. What We Need to Do Now
38. Conclusion

Author

Bruce Schneier is an internationally renowned security technologist and the New York Times bestselling author of 14 books, including A Hacker’s Mind. He is Lecturer at the Harvard Kennedy School, a board member of EFF, and Chief of Security Architecture at Inrupt, Inc.
Nathan E. Sanders is a data scientist focused on making policymaking more participatory. His research spans machine learning, astrophysics, public health, environmental justice, and more. He has served in fellowships at the Massachusetts legislature and the Berkman-Klein Center at Harvard University.

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