Information Technology
Paragraphs

On December 23, 2025, Taiwan’s Legislative Yuan passed the AI Basic Act, and on January 14, the Act was officially promulgated and entered into force by President William Lai Ching-te. The law, consisting of only 20 clauses, is intended to lay the groundwork for building a ‘smart nation’ by fostering human-centric artificial intelligence research and industry development with an emphasis on constituting a safe application environment with fundamental rights protection, in order to balance the needs of the citizens’ quality of life and the nation’s sustainable development while safeguarding national cultural values and social ethics and promoting international competitiveness.

All Publications button
1
Publication Type
Journal Articles
Publication Date
Journal Publisher
Tech Policy Press
Authors
Charles Mok
Paragraphs

In the AI era, sovereignty is exercised through infrastructure design, not territorial control, which is why establishing interoperable standards to govern how layers of the AI stack interact should be a priority for policymakers, writes Eileen Donahoe.

All Publications button
1
Publication Type
Journal Articles
Publication Date
Journal Publisher
Tech Policy Press
Authors
Eileen Donahoe
News Type
News
Date
Paragraphs

In an unprecedented collaboration, Stanford's Deliberative Democracy Lab has spearheaded the first-ever Industry-Wide Forum, a cross-industry effort putting everyday people at the center of decisions about AI agents. This unique initiative involving industry leaders Cohere, Meta, Oracle, PayPal, DoorDash, and Microsoft marks a significant shift in how AI technologies could be developed.

AI agents, advanced artificial intelligence systems designed to reason, plan, and act on behalf of users, are poised to revolutionize how we interact with technology. This Industry-Wide Forum provided an opportunity for the public in the United States and India to deliberate and share their attitudes on how AI agents should be deployed and developed.

The Forum employed a method known as Deliberative Polling, an innovative approach that goes beyond traditional surveys and focus groups. In November 2025, 503 participants from the United States and India engaged in an in-depth process on the AI-assisted Stanford Online Deliberation Platform, developed by Stanford's Crowdsourced Democracy Team. This method involves providing balanced information to participants, facilitated expert Q&A sessions, and small-group discussions. The goal is to capture informed public opinion that can provide durable steers in this rapidly evolving space.

As part of the process, academics, civil society, and non-profit organizations, including the Collective Intelligence Project, Center for Democracy and Technology, and academics from Ashoka University and Institute of Technology-Jodhpur, vetted the briefing materials for balance and accuracy, and some served as expert panelists for live sessions with the nationally representative samples of the United States and India.  

"This groundbreaking Forum represents a pivotal moment in AI development," said James Fishkin, Director of Stanford's Deliberative Democracy Lab. "By actively involving the public in shaping AI agent behavior, we're not just building better technology — we're building trust and ensuring these powerful tools align with societal values."

"This groundbreaking Forum represents a pivotal moment in AI development. By actively involving the public in shaping AI agent behavior, we're not just building better technology — we're building trust and ensuring these powerful tools align with societal values.
James Fishkin
Director, Deliberative Democracy Lab

The deliberations yielded clear priorities for building trust through safeguards during this early phase of agentic development and adoption. Currently, participants favor AI agents for low-risk tasks, while expressing caution about high-stakes applications in medical or financial domains. In deliberation, participants indicated an openness to these higher-risk applications if provided safeguards around privacy or user control, such as requiring approval before finalizing an action.

The Forum also revealed support for culturally adaptive agents, with a preference for asking users about norms rather than making assumptions. Lastly, the discussions underscored the need for better public understanding of AI agents and their capabilities, pointing to the importance of transparency and education in fostering trust in these emerging technologies.

"The perspectives coming out of these initial deliberations underscore the importance of our key focus areas at Cohere: security, privacy, and safeguards,” said Joelle Pineau, Chief AI Officer at Cohere. “We look forward to continuing our work alongside other leaders to strengthen industry standards for this technology, particularly for enterprise agentic AI that works with sensitive data."

The perspectives coming out of these initial deliberations underscore the importance of our key focus areas at Cohere: security, privacy, and safeguards. We look forward to continuing our work alongside other leaders to strengthen industry standards for this technology.
Joelle Pineau
Chief AI Officer, Cohere

This pioneering forum sets a new standard for public participation in AI development. By seeking feedback directly from the public, combining expert knowledge, meaningful public dialogue, and cross-industry commitment, the Industry Wide Forum provides a key mechanism for ensuring that AI innovation is aligned with public values and expectations.

“Technology better serves people when it's grounded in their feedback and expectations,” said Rob Sherman, Meta’s Vice President, AI Policy & Deputy Chief Privacy Officer.  “This Forum reinforces how companies and researchers can collaborate to make sure AI agents are built to be responsive to the diverse needs of people who use them – not just at one company, but across the industry.”

Technology better serves people when it's grounded in their feedback and expectations. This Forum reinforces how companies and researchers can collaborate to make sure AI agents are built to be responsive to the diverse needs of people who use them.
Rob Sherman
Vice President, AI Policy & Deputy Chief Privacy Officer, Meta

Through Stanford’s established methodology and their facilitation of industry partners, the Industry-Wide Forum provides the public with the opportunity to engage deeply with complex technological issues and for AI companies to benefit from considered public perspectives in developing products that are responsive to public opinion. We hope this is the first step towards more collaboration among industry, academia, and the public to shape the future of AI in ways that benefit everyone.

“We have more industry partners joining our next forum later this year”, says Alice Siu, Associate Director of Stanford's Deliberative Democracy Lab. “The 2026 Industry-Wide Forum expands our discussion scope and further deepens our understanding of public attitudes towards AI agents. These deliberations will help ensure AI development remains aligned with societal values and expectations.”

The 2026 Industry-Wide Forum expands our discussion scope and further deepens our understanding of public attitudes towards AI agents. These deliberations will help ensure AI development remains aligned with societal values and expectations.
Alice Siu
Associate Director, Deliberative Democracy Lab

For a full briefing on the Industry-Wide Forum, please contact Alice Siu.

Read More

Close-up of a computer chip labeled ‘AI Artificial Intelligence,’ embedded in a circuit board with gold connectors and electronic components.
News

DoorDash and Microsoft join Industry-Wide Deliberative Forum on Future of AI Agents

The inclusion of these companies in the Industry-Wide Deliberative Forum, convened by Stanford University’s Deliberative Democracy Lab, speaks to its importance and the need to engage the public on the future of AI agents.
DoorDash and Microsoft join Industry-Wide Deliberative Forum on Future of AI Agents
Futuristic 3D Render
News

Industry-Wide Deliberative Forum Invites Public to Weigh In on the Future of AI Agents

There is a significant gap between what technology, especially AI technology, is being developed and the public's understanding of such technologies. We must ask: what if the public were not just passive recipients of these technologies, but active participants in guiding their evolution?
Industry-Wide Deliberative Forum Invites Public to Weigh In on the Future of AI Agents
Hero Image
Human finger touching a screen with AI agent tadamichi via iStock
All News button
1
Subtitle

In an unprecedented collaboration, Stanford's Deliberative Democracy Lab has spearheaded the first-ever Industry-Wide Forum, a cross-industry effort putting everyday people at the center of decisions about AI agents.

Date Label
Display Hero Image Wide (1320px)
No
-
Alexis Opferman, MBA'26

G101- Gunn Building, Stanford Graduate School of Business
655 Knight Way, Stanford

Nicole Perlroth
Lectures

Nicole Perlroth, former NYT journalist and cyber investor, explores how AI is amplifying threats and reshaping defense—implications for risk, resilience, and governance.

Date Label
Paragraphs

On January 22, South Korea introduced its AI Basic Act, which it claimed to be “the world’s first comprehensive body of laws to regulate artificial intelligence.” The government claims the legislation will help propel the country to be a leader in the global race for AI leadership by establishing a “foundation for trust” while also protecting the interests of citizens.

All Publications button
1
Publication Type
Commentary
Publication Date
Journal Publisher
Tech Policy Press
Authors
Charles Mok
Paragraphs

Europe’s non-coercive form of global influence on technology governance faces new challenges and opportunities in the world of artificial intelligence regulations and governance. As the United States and China pursue divergent models of competition and control, Europe must evolve from exporting regulation to exercising genuine governance. The challenge is to transform regulatory strength into strategic capability, while balancing human rights, innovation, and digital sovereignty. By advancing a new Brussels Agenda grounded in values, institutional coherence, and multi-stakeholder collaboration, Europe can reaffirm its global role, demonstrating that ethical governance and technological ambition don’t need to be opposing forces in the age of intelligent systems.

ABOUT THE VOLUME

Designing Europe’s Future: AI as a Force of Good

AI is not just a technological tool; it is a transformative force that can make our societies more prosperous, sustainable, and free – if we dare to embrace it.

All Publications button
1
Publication Type
Book Chapters
Publication Date
Subtitle

Essay within "Designing Europe’s Future: AI as a Force of Good," published by the European Liberal Forum EUPF (ELF), edited by Francesco Cappelletti, Maartje Schulz, and Eloi Borgne.

Journal Publisher
European Liberal Forum EUPF
Authors
Charles Mok
Paragraphs

Latin American politics has undergone substantial transformation through the resurgence of Indigenous communities as political actors. This review examines Indigenous movements' evolution from social mobilization to institutional governance, analyzing how they captured political power in Bolivia and Ecuador while reshaping constitutional frameworks regionally.  Indigenous identity proves endogenous to political exclusion, with census data showing dramatic increases in self-identification linked to political empowerment. Approximately 58 million Indigenous peoples (9.8% of regional population) concentrate in 2,174 municipalities where they constitute majorities. Traditional governance institutions demonstrate superior democratic practices compared to conventional systems. Contemporary challenges include environmental criminalization of defenders, digital colonialism through AI knowledge extraction, and hybrid legal pluralism. Three research priorities emerge: historical trauma as determinant of political behavior; Indigenous health disparities as political barriers; and youth political participation in urban settings. Political science must incorporate Indigenous epistemologies and recognize these communities as engines of democratic innovation.

All Publications button
1
Publication Type
Working Papers
Publication Date
Authors
Alberto Díaz-Cayeros
Authors
News Type
News
Date
Paragraphs

Motivation & Overview


India’s services sector is internationally renowned and has helped propel the country’s economic growth. Indeed, in recent years, a majority of the value added to India’s GDP has been concentrated in services. Especially noteworthy are India’s software and computing services, which include large multinational conglomerates like Infosys and Tata Communications Services. 

Yet as Indian software has flourished, the growth of its computer hardware and manufacturing has been sluggish. Tellingly, India is still a net importer of hardware and other electronics. At first glance, this divergence is puzzling because both the software and hardware sectors should have benefited from India’s educated labor pool and infrastructure. How can these different sectoral outcomes be explained?
 


 

Image
Fig. 1: Electronics production value compared to software and software service revenues

 

Fig. 1: Electronics production value compared to software and software service revenues.
 



In “Comparing Advantages in India’s Computer Hardware and Software Sectors,” Dinsha Mistree and Rehana Mohammed offer an explanation in terms of state capacity to meet the different functional needs of each sector. Their account of India’s computing history emphasizes the inability of various state ministries and agencies to agree on policies that would benefit the hardware sector, such as tariffs. Meanwhile, cumbersome rulemaking procedures inherited from British colonialism impeded the state’s flexibility. Although this disadvantaged India’s hardware sector, its software sector needed comparatively less from the state, building instead on international networks and the efforts of individual agencies.

The authors provide a historically and theoretically rich account of the political forces shaping India’s economic rise. The paper not only compares distinct moments in Indian history but also draws parallels with other landmark cases, like South Korea’s 1980s industrial surge. Such a sector-based analysis could be fruitfully applied to understand why different industries succeed or lag in emerging economies. 

Different Sectors, Different Needs


In order to become competitive — both domestically and (especially) internationally — hardware manufacturers often need much from the state, what the authors call a “produce and protect regime.” This can include the construction of factories and the formation of state-owned industries (SOEs), as well as tariffs to reduce competition or labor laws that restrict union strikes. Perhaps most importantly, manufacturers need a state whose legislators and bureaucrats can coordinate with each other in response to market challenges. Such a regime is incompatible with excessive “red tape” or with the “capture” of regulators by narrow interest groups. Because customers tend to view manufactured goods as “substitutable” with each other, firms will face intense competition as regards price and quality.
 


 

Image
Fig. 2: Inter-agency coordination required for sectoral success

 

Fig. 2: Inter-agency coordination required for sectoral success.
 



The situation is very different for service providers, whose success depends on building strong relationships with customers. States are not essential to this process, even if their promotional efforts can be helpful. Coordination across government agencies is similarly less important, as just one agency could provide tax breaks or host promotional events that benefit service providers. Compared with manufacturing, customers tend to view services as less substitutable — they are more intangible and customizable, which renders competition less fierce. Understanding India’s computing history reveals that the state’s inability to meet hardware manufacturers’ needs severely constrained the sector’s growth. 

The History of Indian Computing


Although India inherited a convoluted bureaucracy from the British Raj, the future of its computing industry in the 1960s seemed promising: political elites in New Delhi supported a produce-and-protect regime, relevant agencies and SOEs were created, and foreign computing firms like IBM successfully operated in the country. 

Yet by the 1970s, some bureaucrats and union leaders feared that automation would threaten the federal government’s functioning and India’s employment levels, respectively. Strict controls in both the public and private sectors were thus adopted, for example, requiring trade unions — which took a strong anti-computer stance — to approve the introduction of computers in specific industries. The authors make special mention of India’s semiconductor industry. It arguably failed to develop due to lackluster government investment, the need for manufacturers to obtain multiple permits across agencies, decision makers ignoring recommendations from specialized panels, and so on.

Meanwhile, implementing protectionist policies proved challenging. For example, decisions to allow the importation of previously banned components required permission from multiple ministries and agencies. After India’s 1970s balance-of-payments crisis, international companies deemed inessential were forced to dilute their equity to 40% and take on an Indian partner. IBM then left the Indian market. At the same time, SOEs faced growing competition over government contracts and workers, owing to the growth of state-level SOEs.

The mid-1980s represented a partial turning point as Rajiv Gandhi became Prime Minister and liberalized the computing industry. Within weeks, Rajiv introduced a host of new policies and shifted the government’s focus from supporting public sector production to promoting private firms, which would no longer face manufacturing limits and would be eligible for duty exemptions. Changes to tariff rates and import limits would not require approval from multiple agencies. Meanwhile, international firms reengaged with Indian markets via the building of satellite links, facilitating cross-continental work, such as between Citibank employees in Mumbai and Santa Cruz.

However, this liberalizing period was undermined and partially reversed after 1989, when Rajiv’s Congress Party (INC) lost its legislative majority and public policy became considerably more fragmented. Anti-computerization forces, especially the powerful Indian trade unions, worked to stymie Rajiv’s reforms. Pro-market reformists were forced out of their positions in Indian bureaucracies. Rajiv was assassinated in 1991, after which Congress formed a minority government with computer advocate P. V. Narasimha Rao as PM. Yet all of this occurred at a delicate time, as India was at risk of defaulting and had almost completely exhausted its foreign exchange.

By the late 1990s, both the hardware and software sectors should have benefited from the rising global demand for computers, yet India’s history of poor state coordination hindered manufacturers. Meanwhile, software firms were able to take advantage of global opportunities given their comparatively limited needs from state actors and political networks — for example, helping European Union banks change their computer systems to Euros. Ultimately, the Indian state has powerfully shaped the fortunes of these different sectors.

*Research-in-Brief prepared by Adam Fefer.

Hero Image
Monitor showing Java programming Ilya Pavlov via Unsplash
All News button
1
Subtitle

CDDRL Research-in-Brief [4-minute read]

Date Label
News Type
News
Date
Paragraphs

In an exciting development, the Industry-Wide Deliberative Forum convened by Stanford University’s Deliberative Democracy Lab is announcing the addition of two new companies — DoorDash and Microsoft — joining the group of technology companies Cohere, Meta, Oracle, and PayPal, advised by the Collective Intelligence Project in a collaborative effort to engage the public in shaping the future of AI agents. 

There is a gap between the development of technology, particularly AI, and the public's understanding of these advancements. This Forum is answering the question: what if the public could be more than just passive users of these technologies, but instead take an active role in shaping their progress? This growing group of technology companies is excited to engage in a collaborative approach to consulting the public on these complex issues. 

The inclusion of DoorDash and Microsoft speaks to the importance of this Forum and of engaging the public on the future of AI agents. "We believe the future of AI agents must be shaped thoughtfully, with meaningful public input. This forum provides an important platform to elevate diverse voices and guide the responsible development of AI that all businesses can benefit from,” said Chris Roberts, Director of Community Policy and Safety, at DoorDash

“We’re proud to support and participate in this effort.”

The Industry-Wide Deliberative Forum is set to take place in Fall 2025 and will be conducted on the AI-assisted Stanford Online Deliberation Platform. This Forum is rooted in deliberation, which involves bringing together representative samples of the public, presenting them with options and their associated tradeoffs, and encouraging them to reflect on both this education and their personal experiences. Research has shown that deliberative methods yield more thoughtful feedback for decision-makers, as individuals must consider the complexities of the issues at hand, rather than simply top-of-mind reactions.

“Microsoft is excited to join this cross-industry collaborative effort to better understand public perspectives on how to build the next generation of trustworthy AI systems,” Amanda Craig, Senior Director of Public Policy, Office of Responsible AI, Microsoft

The collaboration encourages thoughtful feedback rather than reactive opinions, ensuring that the public’s perspective is both informed and actionable. “Welcoming DoorDash and Microsoft to our collaborative table is an excellent opportunity to broaden the impact of our work,” said James Fishkin, Director of Stanford’s Deliberative Democracy Lab. “This expansion embodies a shared commitment to collectively shaping our future with AI through public consultations that are both representative and thoughtful.”

Media Contact: Alice Siu, Stanford Deliberative Democracy Lab

Read More

Agentic AI Workflow Automation, Artificial intelligence AI driven decision-making concept illustration blue background
News

Deliberative Democracy and the Ethical Challenges of Generative AI

CDDRL Research-in-Brief [4-minute read]
Deliberative Democracy and the Ethical Challenges of Generative AI
America in One Room: Pennsylvania
News

Pennsylvania Voters Bridge Deep Political Divides, Reduce Polarization in Groundbreaking Deliberative Polling® Event

America in One Room: Pennsylvania brings together a representative sample of registered Pennsylvania voters for a statewide Deliberative Poll in this crucial swing state, revealing surprising common ground and public opinion shifts on issues from immigration to healthcare to democratic reform.
Pennsylvania Voters Bridge Deep Political Divides, Reduce Polarization in Groundbreaking Deliberative Polling® Event
Futuristic 3D Render
News

Industry-Wide Deliberative Forum Invites Public to Weigh In on the Future of AI Agents

There is a significant gap between what technology, especially AI technology, is being developed and the public's understanding of such technologies. We must ask: what if the public were not just passive recipients of these technologies, but active participants in guiding their evolution?
Industry-Wide Deliberative Forum Invites Public to Weigh In on the Future of AI Agents
Hero Image
Close-up of a computer chip labeled ‘AI Artificial Intelligence,’ embedded in a circuit board with gold connectors and electronic components. BoliviaInteligente via Unsplash
All News button
1
Subtitle

The inclusion of these companies in the Industry-Wide Deliberative Forum, convened by Stanford University’s Deliberative Democracy Lab, speaks to its importance and the need to engage the public on the future of AI agents.

Date Label
0
CDDRL Honors Student, 2025-26
img_1259_3_-_emma_wang.jpg

Major: Political Science
Hometown: Naperville, Illinois
Thesis Advisor: Jonathan Rodden

Tentative Thesis Title: Broadband for All: Historical Lessons and International Models for U.S. Internet Policy

Future aspirations post-Stanford: After completing my master's in computer science, I hope to go to law school and work in technology law.

A fun fact about yourself: I started lion dancing when I came to college!

Date Label
Subscribe to Information Technology