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Anthropic is calling on Americans to help it create its AI Constitution

Most AI companies are creating their own AI guardrails, but Anthropic, the multi-billion dollar AI startup is asking the public to help build its AI Constitution.

Key takeaways

  • In March, the CIP partnered with Anthropic for the Collective Constitutional AI initiative to develop an AI model designed with outside inputs and to explore how democratic processes can influence AI development.
  • The sample size, Anthropic said, aimed to represent US adults across age, gender, income, and location.
  • According to Anthropic, participants contributed 1,117 statements.
Cite or link to this article

Griffin, M. (2023) 'Anthropic is calling on Americans to help it create its AI Constitution', 311 Institute, 12 November. Available at: https://www.311institute.com/anthropic-is-calling-on-americans-to-help-it-create-its-ai-constitution/ (Accessed: 25 October 2026).

In a bid to democratise the development of AI tools, and find new ways to govern and regulate their development, ChatGPT competitor Anthropic, the company behind Claude, a constitution based AI which recently secured billions of dollars of funding from Amazon and Google, have announced that they’ve teamed with the non-profit Collective Intelligence Project to explore a different course for AI development, surveying 1,000 Americans to draft what’s being called an AI constitution.

“AI is going to have a transformative impact on the world,” said Collective Intelligence Project co-founder Divya Siddarth. “Yet very few people get to decide exactly what that looks like. We wanted to build processes so that wouldn't be true anymore.”

Launched in January by Siddarth, a political economist and social technologist, and researcher, writer, and engineer, Saffron Huang, the Collective Intelligence Project aims to promote collective intelligence for collective progress. In March, the CIP partnered with Anthropic for the Collective Constitutional AI initiative to develop an AI model designed with outside inputs and to explore how democratic processes can influence AI development.

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“We wanted to put together some of the work that's been done in the democracy space, in the collective intelligence space around what it means to make good decisions for whom and who gets involved,” Siddarth said. “There is a lot of research on that with transformative technology, particularly AI, which is something we've both been working on.”

The project, Anthropic said in a blog post, asked 1,000 members of the American public to help the AI developer pick rules for its AI chatbot. The sample size, Anthropic said, aimed to represent US adults across age, gender, income, and location. Participants could choose from a list of rules for the AI or come up with their own.

According to Anthropic, participants contributed 1,117 statements. They cast over 38,000 votes on questions like whether AI should discriminate on race or sexual preference, adding that while there were different opinions, there was a high degree of consensus on most statements.

While the survey attempted to collect a diverse sample size, Siddarth acknowledged that future experiments must go beyond tech-savvy and affluent Americans.

“It's only people in the US, that's obviously extremely constrained in terms of everyone in the world,” she said. “If anything, like many people who are developing technology, probably have more values overlap with people in the US and many other places.”

Siddarth said that the Collective Intelligence Project has also worked with rival AI developer OpenAI on other democratic AI projects. The AI Constitution project was done only using Anthropics’ Claude AI models.

“I think that's why it's a good comparison because we take the model that [Anthropic] already trained on a constitution that Anthropic researchers wrote and compared it directly to the same model,” Siddarth said. “But with a constitution that was written by the public.”

A surprising finding in the experiment, Siddarth said, was the several statements that also said the AI model should not discriminate based on disability. Those were not included in the Anthropic constitution.

“I don't think because they intended it not to be there,” she said. “It's just not something that they ended up highlighting, and that was significantly emphasised.”

Launched in 2021, Anthropic is just one of the developers racing to bring faster and more advanced Artificial Intelligence (AI) to the market. Microsoft, Google, Meta, and Amazon have invested billions into Generative AI (GAI) developers. As a result, 2023 has been a lucrative year for AI developers: in February, Google announced an investment of $400 million in Anthropic. This investment was followed by Amazon's $4 billion investment in Anthropic in September.

Earlier this year, Anthropic joined with OpenAI, Google, and Microsoft, pledging to work towards developing AI responsibly after a meeting with the Biden Administration. Others joining the pledge included Amazon, Meta, and Inflection. In September, NVIDIA, Scale AI, Cohere, Adobe, IBM, Palantir, Salesforce, and Stability AI also joined the pledge.

Despite limitations in the Constitutional AI experiment, Siddarth is optimistic about the future of the Collective Intelligence Project, democracy in AI, and looking to include more public input into the development of the emerging technology.

“I think the core is let's do more of these processes; let's learn from what we've already done,” she said. “We're working with civil society groups, different policymakers, all of these different companies to get that done.”

311 Intelligence

What this means for your organisation

Written rules can come from people.

Anthropic and the Collective Intelligence Project asked 1,000 Americans to pick rules for a chatbot. Participants offered 1,117 statements and cast over 38,000 votes, with a high degree of consensus on most. Constitutional AI trains a system to follow a written set of rules, so the people who write those rules now matter a great deal.

Outside input can expose blind spots.

Several participants said the model should not discriminate based on disability. That point was not in the Anthropic constitution. Siddarth said it was not left out on purpose, it was just not highlighted. Leaders should ask what their own rule sets leave unsaid.

Treat the evidence as early.

The sample covered only people in the US. Siddarth said future work must go beyond tech-savvy and affluent Americans. Generative AI and wider AI use are both marked Act now, so organisations should start gathering input from their own staff and customers while the method matures.

Three questions for your next leadership meeting

  1. Who helps write the rules our AI systems follow today?
  2. Which groups of people are missing from how we set AI policy?
  3. How would we test our AI rules against public views?

The trends and technologies behind this story

From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.

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Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s article and 311 data. First published on Fanatical Futurist.

FAQ

Why does this matter?

Most AI companies are creating their own AI guardrails, but Anthropic, the multi-billion dollar AI startup is asking the public to help build its AI Constitution.

Matthew Griffin

About the author

Matthew Griffin Founder, President and Futurist, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

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Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 17-time best selling author of the "Codex of the Future" series, Matthew is the Founder, President and Futurist of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

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Sources and further reading

  1. Anthropic cip.org
  2. Collective Constitutional AI anthropic.com
  3. CCAI demographic data.png efficient-manatee.transforms.svdcdn.com
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