Experimental Governance Sandboxes and LLM Agent-Based Simulations

Abstract: The presentation and demo will explore how we can "hum" over AI Agents and use prompts as regulatory artifacts and tools of communicative action.

Against the promises of a "model" Civitas Dei over responsible, trustworthy, human-centered AIs, we will emphasize the disobedience of prompts and exploits to preserve political and social agency. In response to the procedural and overly bureaucratic AI governance efforts—such as those outlined by the OECD, the EU AI Act, and various US directives—which we claim lead to regulatory capture, we propose a return to a more experimental and participatory form of governance.

Inspired by the TCP/IP protocol "wars" and principles like "robustness" and "rough consensus and running code," our project seeks to apply these lessons to manage emerging AI infrastructures. We advocate open, transparent practices and environments, such as exploratory sandboxes, which involve a broad range of stakeholders in experiments and decision-making processes. This approach contrasts sharply with the current emphasis on compliance and (self)assessments that centralize power and limit public participation.

Our ongoing experiments with LLMs agent-based simulations aim to demonstrate robust, decentralized governance of AIs, ensuring their development remains aligned with democratic values and the public interest, and preventing the concentration of technological power over our common future. How can we save political and social agency in an age of closed models that cannibalize and compress the Internet into API calls?

Dr. Denisa Reshef Kera is the founder of the Design and Policy lab, Dando.design, and explores innovative and creative ways of public engagement in science and technology regulations. She currently works as a Senior Lecturer in the Science, Technology and Society program at Bar Ilan University, Israel, and she is also active as the alternate AI national expert appointed by the Czech Ministry of Foreign Affairs. Her global and interdisciplinary work on experimental governance of emerging infrastructures (open hardware, blockchain/DLTs, AIs) is captured in her book on "Algorithms and Automation" www.routledge.com/Algorithms-and-Automation-Governance-over-Rituals-Machines-and-Proto/Kera/p/book/9781032038636. Her academic career over the past decade includes University of Malta, Tel Aviv University, University of Salamanca, the National University of Singapore, Arizona State University, and Charles University in Prague, her hometown.

www.anonette.net/ | github.com/anonette/ | www.researchgate.net/profile/Denisa-Reshef-Kera | www.linkedin.com/in/denisakera/ |

game theoryhuman-computer interactionsocial and information networkslaw and economics

Audience: researchers in the topic

( chat | video )

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Metagovernance Seminar

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- - > > Meeting Link: us06web.zoom.us/j/89433841305?pwd=lIX1rkSiVfqDd7hwwTUppQS8kDmbno.1 < < - -

The Metagovernance Seminar invites individuals working in online governance to present their work to a community of other researchers and practitioners. Topics of the seminar include, but are not limited to, computational tools for governance, governance incidents and case studies from online communities, topics in cryptoeconomics, and the design of digital constitutions.

See archived videos: archive.org/search.php?query=creator%3A%22Metagovernance%20Seminar%22

The seminar is intended for researchers and practitioners in online governance, broadly defined. We welcome guests and curious members of the public, but please note that the discussion is moderated. Our governance structure is defined here: metagov.pubpub.org/metagov-governance

Please contact a planning committee member (Nathan Schneider, Divya Siddarth, Michael Zargham, Joshua Tan, and Seth Frey) if you are interested in becoming a member of the seminar.

Where available, a direct link to the archived video is linked beneath the video tags.

Join our community to participate in the discussions around this series: metagov.org/join/community

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- Time: every Wednesday at 12:00pm ET (GMT-4). - Meeting Link: us06web.zoom.us/j/89433841305?pwd=lIX1rkSiVfqDd7hwwTUppQS8kDmbno.1

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