Skepticism can lead to a retreat into echo chambers and a lack of shared authority among different groups, which undermines democratic dialogue. It also facilitates lying by making people skeptical of even true information.
Deepfakes were prevalent but had limited direct impact on voter behavior. However, they contributed to a broader problem of politicians disclaiming true information as fake, which eroded trust in legitimate information.
AI turbocharges social media by enabling more sophisticated bots, propagating synthetic media, and influencing what users see. This can lead to anonymous communication, making it harder to discern between human and machine-generated content.
Concentrated AI power could lead to monopolistic control over speech and information, similar to concerns about social media monopolies. However, the rise of open models offers a potential counterbalance by allowing for greater competition and access.
Open models allow for greater competition and access, particularly in under-resourced nations, but they also pose risks such as misuse by bad actors, including the creation of harmful content like child pornography.
The European AI Act is a first mover in AI regulation, focusing on high-risk applications like facial recognition and discrimination. However, it initially excluded generative AI, which has since forced a reevaluation of its scope.
Competition between nations and companies drives rapid AI development, but it also raises concerns about regulatory lag and the potential for authoritarian governments to dominate the AI space, which could be detrimental to democratic values.
AI could assist in tasks like drafting legal documents and handling mass adjudication, particularly in areas with large backlogs of cases. However, human oversight will still be necessary to validate AI-generated decisions and prevent errors.
Two-time guest Nate Persily) is a professor of law and policy who studies the intersection of artificial intelligence and democracy. AI is creeping into democracy, he says, and 2024 saw its share of deepfakes and synthetic media, but with surprisingly little impact. His bigger concern is the opposite – politicians claiming the truth to be fake. It breeds distrust and, for democracy, that’s more pernicious, Persily tells host Russ Altman) on this episode of Stanford Engineering’s The Future of Everything podcast.
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Chapters:
(00:00:00) Introduction
Russ Altman introduces guest Nate Persily, a professor of law at Stanford University.
(00:02:49) How AI Impacts Democracy
AI's role in influencing elections and its implications for democratic systems.
(00:03:38) Deepfakes and the Election
The limited impact of deepfakes and emerging disinformation trends.
(00:04:37) Is Skepticism Beneficial?
The role of skepticism in navigating AI-driven disinformation.
(00:06:06) AI and Social Media
How AI powers social media and its implications for democratic dialogue.
(00:08:40) AI Monopoly and Democracy
Risks of concentrated AI power among tech giants.
(00:12:03) Risks of Open AI Models
Balancing innovation and misuse risks of open AI models.
(00:17:20) Regulating AI
Global efforts to regulate AI and lessons from the European AI Act.
(00:19:54) The Global AI Race
The international race to balance progress and safeguards with AI.
(00:23:35) Global South and AI
The digital divide and role of open models in under-resourced nations.
(00:25:05) AI in Legal Practice
Potential and challenges of AI in law, from drafting to adjudication.
(00:28:55) Conclusion
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