Tootfinder

Several Issues Regarding Data Governance in AGI
Masayuki Hatta
https://arxiv.org/abs/2508.12168 https://arxiv.org/pdf/2508.12168

Several Issues Regarding Data Governance in AGI
The rapid advancement of artificial intelligence has positioned data governance as a critical concern for responsible AI development. While frameworks exist for conventional AI systems, the potential emergence of Artificial General Intelligence (AGI) presents unprecedented governance challenges. This paper examines data governance challenges specific to AGI, defined as systems capable of recursive self-improvement or self-replication. We identify seven key issues that differentiate AGI governan…

Concepts in AI Governance: Personality vs. Personalization
https://fpf.org/blog/concepts-in-ai-governance-personality-vs-personalization/
@…

US Commerce Secretary Howard Lutnick says Intel must give the government an equity stake in the company in return for CHIPS Act funds; INTC closes up 7% (CNBC)
https://www.cnbc.com/2025/08/19/lutnick-intel-stock-chips-trump.html

Lutnick says Intel has to give government equity in return for CHIPS Act funds
The potential deal would convert the CHIPS ACT grants into equity, but wouldn't come with governance rights in Intel, Lutnick said.

Urban AI Governance Must Embed Legal Reasonableness for Democratic and Sustainable Cities
Rashid Mushkani
https://arxiv.org/abs/2508.12174 https://arxiv.or…

Urban AI Governance Must Embed Legal Reasonableness for Democratic and Sustainable Cities
This position paper argues that embedding the legal "reasonable person" standard in municipal AI systems is essential for democratic and sustainable urban governance. As cities increasingly deploy artificial intelligence (AI) systems, concerns around equity, accountability, and normative legitimacy are growing. This paper introduces the Urban Reasonableness Layer (URL), a conceptual framework that adapts the legal "reasonable person" standard for supervisory oversight in municipal AI systems, i…

Uncovering AI Governance Themes in EU Policies using BERTopic and Thematic Analysis
Delaram Golpayegani, Marta Lasek-Markey, Arjumand Younus, Aphra Kerr, Dave Lewis
https://arxiv.org/abs/2509.13387

Uncovering AI Governance Themes in EU Policies using BERTopic and Thematic Analysis
The upsurge of policies and guidelines that aim to ensure Artificial Intelligence (AI) systems are safe and trustworthy has led to a fragmented landscape of AI governance. The European Union (EU) is a key actor in the development of such policies and guidelines. Its High-Level Expert Group (HLEG) issued an influential set of guidelines for trustworthy AI, followed in 2024 by the adoption of the EU AI Act. While the EU policies and guidelines are expected to be aligned, they may differ in their …

corporate_directors: Global corporate directors (2016)
Bipartite network of directors and the companies on whose boards they sit, spanning 54 countries worldwide, constructed from data collected by the Financial Times (c. Sept. 2016). Person nodes are annotated with age and gender. Company nodes are annotated with their country, sector, industry, and number of employees.
This network has 356638 nodes and 377060 edges.
Tags: Economic, Governance, Unweighted, Metadata

Reproducibility: The New Frontier in AI Governance
Israel Mason-Williams, Gabryel Mason-Williams
https://arxiv.org/abs/2510.11595 https://arxiv.org/pdf/251…

Reproducibility: The New Frontier in AI Governance
AI policymakers are responsible for delivering effective governance mechanisms that can provide safe, aligned and trustworthy AI development. However, the information environment offered to policymakers is characterised by an unnecessarily low Signal-To-Noise Ratio, favouring regulatory capture and creating deep uncertainty and divides on which risks should be prioritised from a governance perspective. We posit that the current publication speeds in AI combined with the lack of strong scientifi…

Rethinking Autonomy: Preventing Failures in AI-Driven Software Engineering
Satyam Kumar Navneet, Joydeep Chandra
https://arxiv.org/abs/2508.11824 https://a…

Rethinking Autonomy: Preventing Failures in AI-Driven Software Engineering
The integration of Large Language Models (LLMs) into software engineering has revolutionized code generation, enabling unprecedented productivity through promptware and autonomous AI agents. However, this transformation introduces significant risks, including insecure code generation, hallucinated outputs, irreversible actions, and a lack of transparency and accountability. Incidents like the Replit database deletion underscore the urgent need for robust safety and governance mechanisms. This p…

‘No suggestion of democracy’ in US plan for future governance of the Gaza Strip
https://www.france24.com/en/middle-east/20251014-no-suggestion-of-democracy-in-us-plan-for-future-governance-of-the-gaza-strip

As the saying goes, “if used responsibly…”
https://www.computerworld.com/article/4069521/deloittes-ai-governance-failure-exposes-critical-gap-in-enterprise-quality-controls.html

Airia, which is building a governance and orchestration layer for AI agents, raised $50M from its co-founder John Marshall, with an additional $50M commitment (Mike Wheatley/SiliconANGLE)
https://siliconangle.com/2025/09/16/airia-rais…

Airia raises $100M from its co-founder to build the security foundation for enterprise AI - SiliconANGLE
Airia raises $100M from its co-founder to build the security foundation for enterprise AI - SiliconANGLE

The dimensions of accessibility: proximity, opportunities, values
https://arxiv.org/abs/2509.11875

The dimensions of accessibility: proximity, opportunities, values
Accessibility is essential for designing inclusive urban systems. However, the attempt to capture the complexity of accessibility in a single universal metric has often limited its effective use in design, measurement, and governance across various fields. Building on the work of Levinson and Wu, we emphasise that accessibility consists of several key dimensions. Specifically, we introduce a conceptual framework that defines accessibility through three main dimensions: Proximity (which pertains…

Never Compromise to Vulnerabilities: A Comprehensive Survey on AI Governance
Yuchu Jiang, Jian Zhao, Yuchen Yuan, Tianle Zhang, Yao Huang, Yanghao Zhang, Yan Wang, Yanshu Li, Xizhong Guo, Yusheng Zhao, Jun Zhang, Zhi Zhang, Xiaojian Lin, Yixiu Zou, Haoxuan Ma, Yuhu Shang, Yuzhi Hu, Keshu Cai, Ruochen Zhang, Boyuan Chen, Yilan Gao, Ziheng Jiao, Yi Qin, Shuangjun Du, Xiao Tong, Zhekun Liu, Yu Chen, Xuankun Rong, Rui Wang, Yejie Zheng, Zhaoxin Fan, Hongyuan Zhang, Pan Zhou, Lei Jin, Hao Z…

Never Compromise to Vulnerabilities: A Comprehensive Survey on AI Governance
The rapid advancement of AI has expanded its capabilities across domains, yet introduced critical technical vulnerabilities, such as algorithmic bias and adversarial sensitivity, that pose significant societal risks, including misinformation, inequity, security breaches, physical harm, and eroded public trust. These challenges highlight the urgent need for robust AI governance. We propose a comprehensive framework integrating technical and societal dimensions, structured around three interconne…

"Questions for Ruby Central"
https://github.com/community-research-on-ruby-governance/questions-for-ruby-central

«The raging mob of peasants is told to put away their torches and pitchforks, and to be reasonable, and to let the adults in the room get on with governance. As the saying goes, "The purpose of a system is what it does", and this system seems to overwhelmingly favour Google at the expense of all those unruly peasants»
Shouldn't we trust Google and other pertinent questions - lolnope
https://cryptography.dog/blog/shouldnt-we-trust-google/

LinkedIn notifications.
(I’d rather my air carrier not be using AI but here we are.)

Prompt Commons: Collective Prompting as Governance for Urban AI
Rashid Mushkani
https://arxiv.org/abs/2509.12415 https://arxiv.org/pdf/2509.12415

Prompt Commons: Collective Prompting as Governance for Urban AI
Large Language Models (LLMs) are entering urban governance, yet their outputs are highly sensitive to prompts that carry value judgments. We propose Prompt Commons - a versioned, community-maintained repository of prompts with governance metadata, licensing, and moderation - to steer model behaviour toward pluralism. Using a Montreal dataset (443 human prompts; 3,317 after augmentation), we pilot three governance states (open, curated, veto-enabled). On a contested policy benchmark, a single-au…

RAGs to Riches: RAG-like Few-shot Learning for Large Language Model Role-playing
Timothy Rupprecht, Enfu Nan, Arash Akbari, Arman Akbari, Lei Lu, Priyanka Maan, Sean Duffy, Pu Zhao, Yumei He, David Kaeli, Yanzhi Wang
https://arxiv.org/abs/2509.12168

RAGs to Riches: RAG-like Few-shot Learning for Large Language Model Role-playing
Role-playing Large language models (LLMs) are increasingly deployed in high-stakes domains such as healthcare, education, and governance, where failures can directly impact user trust and well-being. A cost effective paradigm for LLM role-playing is few-shot learning, but existing approaches often cause models to break character in unexpected and potentially harmful ways, especially when interacting with hostile users. Inspired by Retrieval-Augmented Generation (RAG), we reformulate LLM role-pl…

A five-layer framework for AI governance: integrating regulation, standards, and certification
Avinash Agarwal, Manisha J. Nene
https://arxiv.org/abs/2509.11332 https://

A five-layer framework for AI governance: integrating regulation, standards, and certification
Purpose: The governance of artificial iintelligence (AI) systems requires a structured approach that connects high-level regulatory principles with practical implementation. Existing frameworks lack clarity on how regulations translate into conformity mechanisms, leading to gaps in compliance and enforcement. This paper addresses this critical gap in AI governance. Methodology/Approach: A five-layer AI governance framework is proposed, spanning from broad regulatory mandates to specific stand…

As the saying goes, “if used responsibly…”
https://www.computerworld.com/article/4069521/deloittes-ai-governance-failure-exposes-critical-gap-in-enterprise-quality-controls.html

As the saying goes, “if used responsibly…”
https://www.computerworld.com/article/4069521/deloittes-ai-governance-failure-exposes-critical-gap-in-enterprise-quality-controls.html

Musk holds hostage history's biggest meme stock delusion (Fortune)
https://fortune.com/2025/09/06/elon-musk-1-trillion-compensation-pay-package-tesla-shareholders-governance/
http://www.memeorandum.com/250907/p31#a250907p31

The Language of Approval: Identifying the Drivers of Positive Feedback Online
Agam Goyal, Charlotte Lambert, Eshwar Chandrasekharan
https://arxiv.org/abs/2509.10370 https://

The Language of Approval: Identifying the Drivers of Positive Feedback Online
Positive feedback via likes and awards is central to online governance, yet which attributes of users' posts elicit rewards -- and how these vary across authors and communities -- remains unclear. To examine this, we combine quasi-experimental causal inference with predictive modeling on 11M posts from 100 subreddits. We identify linguistic patterns and stylistic attributes causally linked to rewards, controlling for author reputation, timing, and community context. For example, overtly complic…

Replaced article(s) found for eess.SY. https://arxiv.org/list/eess.SY/new
[1/1]:
- From private to public governance: The case for reconfiguring energy systems as a commons
Chris Giotitsas, Pedro H. J. Nardelli, Vasilis Kostakis, Arun Narayanan

Balancing Innovation and Oversight: Regulatory Sandboxes as a Tool for AI Governance
https://fpf.org/blog/balancing-innovation-and-oversight-regulatory-sandboxes-as-a-tool-for-ai-governance/
@…

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- From private to public governance: The case for reconfiguring energy systems as a commons
Chris Giotitsas, Pedro H. J. Nardelli, Vasilis Kostakis, Arun Narayanan

Quantum Inspired Legal Tech Environmental Integration for Emergency Pharmaceutical Logistics with Entropy Modulated Collapse and Multilevel Governance
Ruicheng Li, Jingxu Wu
https://arxiv.org/abs/2508.08286

Quantum Inspired Legal Tech Environmental Integration for Emergency Pharmaceutical Logistics with Entropy Modulated Collapse and Multilevel Governance
Emergency pharmaceutical logistics during rapid-onset disasters must balance timeliness, legal compliance, and environmental uncertainty. We present a hybrid framework that co-designs quantum-inspired decision dynamics, embedded legal constraints, and blockchain-verified environmental feedback. Candidate routes are modeled as a superposed state whose collapse is governed by entropy modulation-delaying commitment under ambiguity and accelerating resolution when coherent signals emerge. Legal sta…

Listening to @… weaving ideas of commoning, governance, scale, institutions, rights, life and growth.
How can we start to practice commoning, taking advantage of fragile points during the omnicrisis, to make things better?
#FestivalOfCommoning

Governance-as-a-Service: A Multi-Agent Framework for AI System Compliance and Policy Enforcement
Helen Pervez, Suyash Gaurav, Jukka Heikkonen, Jatin Chaudhary
https://arxiv.org/abs/2508.18765

Governance-as-a-Service: A Multi-Agent Framework for AI System Compliance and Policy Enforcement
As AI systems evolve into distributed ecosystems with autonomous execution, asynchronous reasoning, and multi-agent coordination, the absence of scalable, decoupled governance poses a structural risk. Existing oversight mechanisms are reactive, brittle, and embedded within agent architectures, making them non-auditable and hard to generalize across heterogeneous deployments. We introduce Governance-as-a-Service (GaaS): a modular, policy-driven enforcement layer that regulates agent outputs at…

Metadata Management for AI-Augmented Data Workflows
Jinjin Zhao, Sanjay Krishnan
https://arxiv.org/abs/2508.06814 https://arxiv.org/pdf/2508.06814

Metadata Management for AI-Augmented Data Workflows
AI-augmented data workflows introduce complex governance challenges, as both human and model-driven processes generate, transform, and consume data artifacts. These workflows blend heterogeneous tools, dynamic execution patterns, and opaque model decisions, making comprehensive metadata capture difficult. In this work, we present TableVault, a metadata governance framework designed for human-AI collaborative data creation. TableVault records ingestion events, traces operation status, links exec…

Trump has officially given up on any semblance of attempting actual governance
and moved to pure man-baby-without-a-nap tantrum mode.
His latest “countering domestic terrorism and organized political violence” memorandum is basically him screaming
“EVERYONE WHO DOESN’T LIKE ME IS A TERRORIST!” in official government letterhead

Trump Declares Everyone Who Doesn’t Kiss His Ass Is A Terrorist
Trump has officially given up on any semblance of attempting actual governance and moved to pure man-baby-without-a-nap tantrum mode. His latest “countering domestic terrorism and organized p…

The Stories We Govern By: AI, Risk, and the Power of Imaginaries
Ninell Oldenburg, Gleb Papyshev
https://arxiv.org/abs/2508.11729 https://arxiv.org/pdf/250…

The Stories We Govern By: AI, Risk, and the Power of Imaginaries
This paper examines how competing sociotechnical imaginaries of artificial intelligence (AI) risk shape governance decisions and regulatory constraints. Drawing on concepts from science and technology studies, we analyse three dominant narrative groups: existential risk proponents, who emphasise catastrophic AGI scenarios; accelerationists, who portray AI as a transformative force to be unleashed; and critical AI scholars, who foreground present-day harms rooted in systemic inequality. Through …

By-the-way, it is clear that we are experiencing the end of Democracy and rise of Dictatorship in the US.
We have long observed the rise of large corporations as a class of privileged nobility.
And now we are watching the onset of governance by artificial "intelligence".
Perhaps we will resume democracy, but unless we change our ground rules - such as our Constitution - the power of corporations and, now, AI's will remain a serious problem.
So I will men…

Somebody (maybe it was Erin? can’t remember) proposed that we should have a menu of governance structures just as we currently have a menu of OSS licenses, crafted with the same care and granted the same importance, so that somebody looking to share code can:
- communicate very clearly where they are on that continuum from “Here’s some cool code, maybe it’s useful” to “There is solid, sustainable human infra behind this code,” and
- get guidance and support so that, as their project grows, it moves smoothly along that continuum of governance.
7/

The fact that the entire board of Ruby Central has not stepped down tells you everything you need to know about how trustworthy that organization is.
We need a new organization with new governance.

"The Nixpkgs core team has been tasked by the Steering Committee to provide leadership for Nixpkgs as a whole and to take delegated responsibility for its governance."
https://discourse.nixos.org/t/establishing-the-nixpkgs-core-team/69743

Measuring What Matters: The AI Pluralism Index
Rashid Mushkani
https://arxiv.org/abs/2510.08193 https://arxiv.org/pdf/2510.08193

Measuring What Matters: The AI Pluralism Index
Artificial intelligence systems increasingly mediate knowledge, communication, and decision making. Development and governance remain concentrated within a small set of firms and states, raising concerns that technologies may encode narrow interests and limit public agency. Capability benchmarks for language, vision, and coding are common, yet public, auditable measures of pluralistic governance are rare. We define AI pluralism as the degree to which affected stakeholders can shape objectives, …

Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation
Jiaying Wu, Zihang Fu, Haonan Wang, Fanxiao Li, Min-Yen Kan
https://arxiv.org/abs/2510.11423 …

Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation
Community Notes, the crowd-sourced misinformation governance system on X (formerly Twitter), enables users to flag misleading posts, attach contextual notes, and vote on their helpfulness. However, our analysis of 30.8K health-related notes reveals significant latency, with a median delay of 17.6 hours before the first note receives a helpfulness status. To improve responsiveness during real-world misinformation surges, we propose CrowdNotes+, a unified framework that leverages large language m…

Reclaiming Constitutional Authority of Algorithmic Power
Yiyang Mei, Michael J Broyde
https://arxiv.org/abs/2508.11699 https://arxiv.org/pdf/2508.11699

Reclaiming Constitutional Authority of Algorithmic Power
Whether and how to govern AI is no longer a question of technical regulation. It is a question of constitutional authority. Across jurisdictions, algorithmic systems now perform functions once reserved to public institutions: allocating welfare, determining legal status, mediating access to housing, employment, and healthcare. These are not merely administrative operations. They are acts of rule. Yet the dominant models of AI governance fail to confront this reality. The European approach cente…

Replaced article(s) found for cs.SE. https://arxiv.org/list/cs.SE/new
[1/1]:
- A Reference Architecture for Governance of Cloud Native Applications
William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy Miranskyy

SHERLOCK: Towards Dynamic Knowledge Adaptation in LLM-enhanced E-commerce Risk Management
Nan Lu, Yurong Hu, Jiaquan Fang, Yan Liu, Rui Dong, Yiming Wang, Rui Lin, Shaoyi Xu
https://arxiv.org/abs/2510.08948

SHERLOCK: Towards Dynamic Knowledge Adaptation in LLM-enhanced E-commerce Risk Management
The growth of the e-commerce industry has intensified the adversarial dynamics between shadow economy actors and risk management teams. Companies often conduct risk investigations into suspicious cases to identify emerging fraud patterns, thereby enhancing both preemptive risk prevention and post-hoc governance. However, the sheer volume of case analyses imposes a substantial workload on risk management analysts, as each case requires the integration of long-term expert experience and meticulou…

A Vision for Access Control in LLM-based Agent Systems
Xinfeng Li, Dong Huang, Jie Li, Hongyi Cai, Zhenhong Zhou, Wei Dong, XiaoFeng Wang, Yang Liu
https://arxiv.org/abs/2510.11108

A Vision for Access Control in LLM-based Agent Systems
The autonomy and contextual complexity of LLM-based agents render traditional access control (AC) mechanisms insufficient. Static, rule-based systems designed for predictable environments are fundamentally ill-equipped to manage the dynamic information flows inherent in agentic interactions. This position paper argues for a paradigm shift from binary access control to a more sophisticated model of information governance, positing that the core challenge is not merely about permission, but about…

The dimensions of accessibility: proximity, opportunities, values
Matteo Bruno, Bruno Campanelli, Hygor Piaget Monteiro Melo, Lavinia Rossi Mori, Vittorio Loreto
https://arxiv.org/abs/2509.11875

The dimensions of accessibility: proximity, opportunities, values
Accessibility is essential for designing inclusive urban systems. However, the attempt to capture the complexity of accessibility in a single universal metric has often limited its effective use in design, measurement, and governance across various fields. Building on the work of Levinson and Wu, we emphasise that accessibility consists of several key dimensions. Specifically, we introduce a conceptual framework that defines accessibility through three main dimensions: Proximity (which pertains…

Crosslisted article(s) found for cs.GL. https://arxiv.org/list/cs.GL/new
[1/1]:
- Reproducibility: The New Frontier in AI Governance
Israel Mason-Williams, Gabryel Mason-Williams

Governance by inferiority complex (pbump)
https://www.pbump.net/o/governance-by-inferiority-complex/
http://www.memeorandum.com/250725/p76#a250725p76

Between #GiveUpGitHub and #iNaturalist jumping the "AI" shark, I'm extra grateful for infrastructures like @… that have democratic governance mechanisms to give contributors a real vote and power in decision making.
I hope more folks use those opportunities to find infrastructures that they can actually co-own, instead of wasting time & energy in dictatorial platforms that at best "make the community feel heard" (notice the subtle difference between being heard and feeling heard).

Fairness in Token Delegation: Mitigating Voting Power Concentration in DAOs
Johnnatan Messias, Ayae Ide
https://arxiv.org/abs/2510.05830 https://arxiv.org/…

Fairness in Token Delegation: Mitigating Voting Power Concentration in DAOs
Decentralized Autonomous Organizations (DAOs) aim to enable participatory governance, but in practice face challenges of voter apathy, concentration of voting power, and misaligned delegation. Existing delegation mechanisms often reinforce visibility biases, where a small set of highly ranked delegates accumulate disproportionate influence regardless of their alignment with the broader community. In this paper, we conduct an empirical study of delegation in DAO governance, combining on-chain da…

Excellent article by @… , a staff writer for Privacy Guides, on the risks of government overreach to privacy.
This section focuses on the issue of chat control:

FOIA of AI
https://www.publictechnology.net/2025/10/07/society-and-welfare/our-transparency-rules-need-to-adapt-to-the-rise-of-ai/

Our transparency rules need to adapt to the rise of AI
As automated technology becomes more widely used by public bodies, and for a broader range of purposes, Louise Crow of mySociety outlines why governance rules and processes must keep pace As the government makes a significant investment into AI in public services, we need to update our transp

Weekend Reads
* DNS root governance
https://www.potaroo.net/ispcol/2025-08/rssgwg.html
* Putin's new cyber empire

Good to see an organized response to the RFKJr idiocy. #MAHA is to #PublicHealth what #MAGA is to good #governance. …

Good to see an organized response to the RFKJr idiocy. #MAHA is to #PublicHealth what #MAGA is to good #governance. …

corporate_directors: Global corporate directors (2016)
Bipartite network of directors and the companies on whose boards they sit, spanning 54 countries worldwide, constructed from data collected by the Financial Times (c. Sept. 2016). Person nodes are annotated with age and gender. Company nodes are annotated with their country, sector, industry, and number of employees.
This network has 356638 nodes and 377060 edges.
Tags: Economic, Governance, Unweighted, Metadata

Zero Data Retention in LLM-based Enterprise AI Assistants: A Comparative Study of Market Leading Agentic AI Products
Komal Gupta, Aditya Shrivastava
https://arxiv.org/abs/2510.11558

Zero Data Retention in LLM-based Enterprise AI Assistants: A Comparative Study of Market Leading Agentic AI Products
Governance of data, compliance, and business privacy matters, particularly for healthcare and finance businesses. Since the recent emergence of AI enterprise AI assistants enhancing business productivity, safeguarding private data and compliance is now a priority. With the implementation of AI assistants across the enterprise, the zero data retention can be achieved by implementing zero data retention policies by Large Language Model businesses like Open AI and Anthropic and Meta. In this work,…

For several years
– since conservatives, gained a six-three majority on the bench thanks to Donald Trump’s nominations during his first presidency
– the court has been delivering transformative rulings that have reverberated across the social and political landscape.
In 2022, it overturned Roe v Wade, ending the constitutional right to abortion that had existed for nearly half-a-century.
In July 2024, in a far-reaching decision, it granted Trump
– and, by exten…

"remote governance"

Content Moderation Futures
Lindsay Blackwell
https://arxiv.org/abs/2509.09076 https://arxiv.org/pdf/2509.09076

Content Moderation Futures
This study examines the failures and possibilities of contemporary social media governance through the lived experiences of various content moderation professionals. Drawing on participatory design workshops with 33 practitioners in both the technology industry and broader civil society, this research identifies significant structural misalignments between corporate incentives and public interests. While experts agree that successful content moderation is principled, consistent, contextual, pro…

Democracy for DAOs: An Empirical Study of Decentralized Governance and Dynamic (Case Study Internet Computer SNS Ecosystem)
Burak Arda Okutan, Stefan Schmid, Yvonne-Anne Pignolet
https://arxiv.org/abs/2507.20234

Democracy for DAOs: An Empirical Study of Decentralized Governance and Dynamic (Case Study Internet Computer SNS Ecosystem)
Decentralized autonomous organizations (DAOs) rely on governance mechanism without centralized leadership. This paper presents an empirical study of user behavior in governance for a variety of DAOs, ranging from DeFi to gaming, using the Internet Computer Protocol DAO framework called SNS (Service Nervous System). To analyse user engagement, we measure participation rates and frequency of proposals submission and voter approval rates. We evaluate decision duration times to determine DAO agilit…

Can We Trust AI to Govern AI? Benchmarking LLM Performance on Privacy and AI Governance Exams
Zane Witherspoon, Thet Mon Aye, YingYing Hao
https://arxiv.org/abs/2508.09036 https…

Can We Trust AI to Govern AI? Benchmarking LLM Performance on Privacy and AI Governance Exams
The rapid emergence of large language models (LLMs) has raised urgent questions across the modern workforce about this new technology's strengths, weaknesses, and capabilities. For privacy professionals, the question is whether these AI systems can provide reliable support on regulatory compliance, privacy program management, and AI governance. In this study, we evaluate ten leading open and closed LLMs, including models from OpenAI, Anthropic, Google DeepMind, Meta, and DeepSeek, by benchmarki…

DIRF: A Framework for Digital Identity Protection and Clone Governance in Agentic AI Systems
Hammad Atta, Muhammad Zeeshan Baig, Yasir Mehmood, Nadeem Shahzad, Ken Huang, Muhammad Aziz Ul Haq, Muhammad Awais, Kamal Ahmed, Anthony Green
https://arxiv.org/abs/2508.01997

DIRF: A Framework for Digital Identity Protection and Clone Governance in Agentic AI Systems
The rapid advancement and widespread adoption of generative artificial intelligence (AI) pose significant threats to the integrity of personal identity, including digital cloning, sophisticated impersonation, and the unauthorized monetization of identity-related data. Mitigating these risks necessitates the development of robust AI-generated content detection systems, enhanced legal frameworks, and ethical guidelines. This paper introduces the Digital Identity Rights Framework (DIRF), a structu…

Israel security cabinet approves plan to take over Gaza City amid reports of disagreements with military
The announcement comes after Benjamin Netanyahu said Israel intended to take full control of Gaza and hand over the territory’s governance to friendly Arab forces

Safe, Untrusted, "Proof-Carrying" AI Agents: toward the agentic lakehouse
Jacopo Tagliabue, Ciro Greco
https://arxiv.org/abs/2510.09567 https://a…

Safe, Untrusted, "Proof-Carrying" AI Agents: toward the agentic lakehouse
Data lakehouses run sensitive workloads, where AI-driven automation raises concerns about trust, correctness, and governance. We argue that API-first, programmable lakehouses provide the right abstractions for safe-by-design, agentic workflows. Using Bauplan as a case study, we show how data branching and declarative environments extend naturally to agents, enabling reproducibility and observability while reducing the attack surface. We present a proof-of-concept in which agents repair data pip…

OpenAI sent subpoenas to AI governance nonprofits Encode and CANI, alleging they are part of a conspiracy involving Elon Musk, Mark Zuckerberg, and others (Emily Shugerman/The San Francisco Standard)
https://sfstandard.com/2025/09/02/openai-sam-altman-elon-musk-a…

OpenAI thinks its critics are funded by billionaires. Now it’s going after them
The multibillion-dollar AI giant thinks it's critics are part of a billionaire conspiracy. We examined the evidence

corporate_directors: Global corporate directors (2016)
Bipartite network of directors and the companies on whose boards they sit, spanning 54 countries worldwide, constructed from data collected by the Financial Times (c. Sept. 2016). Person nodes are annotated with age and gender. Company nodes are annotated with their country, sector, industry, and number of employees.
This network has 356638 nodes and 377060 edges.
Tags: Economic, Governance, Unweighted, Metadata

Openness in AI and downstream governance: A global value chain approach
Christopher Foster
https://arxiv.org/abs/2509.10220 https://arxiv.org/pdf/2509.1022…

Openness in AI and downstream governance: A global value chain approach
The rise of AI has been rapid, becoming a leading sector for investment and promising disruptive impacts across the economy. Within the critical analysis of the economic impacts, AI has been aligned to the critical literature on data power and platform capitalism - further concentrating power and value capture amongst a small number of "big tech" leaders. The equally rapid rise of openness in AI (here taken to be claims made by AI firms about openness, "open source" and free provision) signal…

A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, and Governance in 14 Open Large Language Model Projects
Johan Lin{\aa}ker, Cailean Osborne, Jennifer Ding, Ben Burtenshaw
https://arxiv.org/abs/2509.25397

A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, and Governance in 14 Open Large Language Model Projects
The proliferation of open large language models (LLMs) is fostering a vibrant ecosystem of research and innovation in artificial intelligence (AI). However, the methods of collaboration used to develop open LLMs both before and after their public release have not yet been comprehensively studied, limiting our understanding of how open LLM projects are initiated, organized, and governed as well as what opportunities there are to foster this ecosystem even further. We address this gap through an …

Governing Together: Toward Infrastructure for Community-Run Social Media
Sohyeon Hwang, Sophie Rollins, Thatiany Andrade Nunes, Yuhan Liu, Richmond Wong, Aaron Shaw, Andr\'es Monroy-Hern\'andez
https://arxiv.org/abs/2509.19653

Governing Together: Toward Infrastructure for Community-Run Social Media
Decentralizing the governance of social computing systems to communities promises to empower them to make independent decisions, with nuance and in accordance with their values. Yet, communities do not govern in isolation. Many problems communities face are common, or move across their boundaries. We therefore propose designing for "inter-community governance:" mechanisms that support relationships and interactions between communities to coordinate on governance issues. Drawing from workshops w…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/8]:
- A Human Behavioral Baseline for Collective Governance in Software Projects
Mobina Noori, Mahasweta Chakraborti, Amy X Zhang, Seth Frey

The longtime appeal of the BDFL (“benevolent dictator for life”) model of OSS governance comes in part from the fact that most projects naturally start there — “here’s some cool code” — and partly in our impostor-phenom-driven culture of hero worship, but…
…it also comes from our dev culture allergy to taking human systems seriously.
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Farewell to Westphalia: Crypto Sovereignty and Post-Nation-State Governaance
Jarrad Hope, Peter Ludlow
https://arxiv.org/abs/2510.09840 https://arxiv.org/p…

Farewell to Westphalia: Crypto Sovereignty and Post-Nation-State Governaance
We argue that the principal application for blockchain technology will not be in the financial sector, but rather in maintaining decentralized human governance, from archives to transparent policies encoded in the blockchain in the form of smart contracts.. Such decentralized, blockchain-grounded governance comes not a moment too soon, as nation states are dissolving before our eyes. Will blockchain-based communities replace the nation state? What are the prospects and dangers of this developme…

Supreme Court justices like to talk about the Constitution's separation of powers
and how it limits the exercise of official authority.
But Chief Justice John G. Roberts and his conservative colleagues have given no sign so far they will check Donald Trump's one-man governance by executive order.
To the contrary,
the conservative justices have repeatedly ruled for Trump on fast-track appeals
and overturned federal judges who said the president had exceed…

Tariffs and birthright citizenship will test whether Trump's power has limits
The Supreme Court's conservatives have yet to put limits on Trump's broad claims of executive power.

Spending Soars, Rankings Fall at New College of Florida (Josh Moody/Inside Higher Ed)
https://www.insidehighered.com/news/governance/state-oversight/2025/10/01/spending-soars-rankings-fall-new-college-florida
http://www.memeorandum.com/251001/p18#a251001p18

Decentralised Blockchain Management Through Digital Twins
Georgios Diamantopoulos, Nikos Tziritas, Rami Bahsoon, Georgios Theodoropoulos
https://arxiv.org/abs/2510.07901 https:/…

Decentralised Blockchain Management Through Digital Twins
The necessity of blockchain systems to remain decentralised limits current solutions to blockchain governance and dynamic management, forcing a trade-off between control and decentralisation. In light of the above, this work proposes a dynamic and decentralised blockchain management mechanism based on digital twins. To ensure decentralisation, the proposed mechanism utilises multiple digital twins that the system's stakeholders control. To facilitate decentralised decision-making, the twins are…

AI Governance in Higher Education: A course design exploring regulatory, ethical and practical considerations
Zsolt Alm\'asi (P\'azm\'any P\'eter Catholic University, Hungary), Hannah Bleher (University of Bonn, Germany), Johannes Bleher (University of Hohenheim, Germany), Rozanne Tuesday Flores (Bukidnon State University, Philippines), Guo Xuanyang (Southwest University of Political Science and Law, China), Pawe{\l} Pujszo (College of Europe, Natolin, Poland), Rapha\&q…

AI Governance in Higher Education: A course design exploring regulatory, ethical and practical considerations
As artificial intelligence (AI) systems permeate critical sectors, the need for professionals who can address ethical, legal and governance challenges has become urgent. Current AI ethics education remains fragmented, often siloed by discipline and disconnected from practice. This paper synthesizes literature and regulatory developments to propose a modular, interdisciplinary curriculum that integrates technical foundations with ethics, law and policy. We highlight recurring operational failure…

At the UN, the US rejected calls for collaborative efforts around AI governance, even as many leaders endorsed a need for urgent international collaboration (Jared Perlo/NBC News)
https://www.nbcnews.com/tech/tech-news/us-rejects-in…

U.S. rejects international AI oversight at U.N. General Assembly
The United States clashed with world leaders over artificial intelligence at the United Nations General Assembly this week.

SCOR: A Framework for Responsible AI Innovation in Digital Ecosystems
Mohammad Saleh Torkestani, Taha Mansouri
https://arxiv.org/abs/2509.10653 https://arx…

SCOR: A Framework for Responsible AI Innovation in Digital Ecosystems
AI-driven digital ecosystems span diverse stakeholders including technology firms, regulators, accelerators and civil society, yet often lack cohesive ethical governance. This paper proposes a four-pillar framework (SCOR) to embed accountability, fairness, and inclusivity across such multi-actor networks. Leveraging a design science approach, we develop a Shared Ethical Charter(S), structured Co-Design and Stakeholder Engagement protocols(C), a system of Continuous Oversight and Learning(O), an…

Enabling Regulatory Multi-Agent Collaboration: Architecture, Challenges, and Solutions
Qinnan Hu, Yuntao Wang, Yuan Gao, Zhou Su, Linkang Du
https://arxiv.org/abs/2509.09215 htt…

Enabling Regulatory Multi-Agent Collaboration: Architecture, Challenges, and Solutions
Large language models (LLMs)-empowered autonomous agents are transforming both digital and physical environments by enabling adaptive, multi-agent collaboration. While these agents offer significant opportunities across domains such as finance, healthcare, and smart manufacturing, their unpredictable behaviors and heterogeneous capabilities pose substantial governance and accountability challenges. In this paper, we propose a blockchain-enabled layered architecture for regulatory agent collabor…

Designing the Hybrid Cooperative: A Socio-Technical Architecture for Scalable, Global Coordination Using Blockchain
Henrik Axelsen, Jan Damsgaard
https://arxiv.org/abs/2509.13156

Designing the Hybrid Cooperative: A Socio-Technical Architecture for Scalable, Global Coordination Using Blockchain
Blockchain has been promoted as a remedy for coordination in fragmented, multi-stakeholder ecosystems, yet many projects stall at pilot stage. Using a design-science approach, we develop the Hybrid Cooperative (HC), a digitally native governance architecture that combines smart-contract coordination with a minimal, code-deferent legal interface and jurisdictional modules. This selective decentralization decentralizes rules where programmability lowers agency and verification costs, and centrali…

(When) Should We Delegate AI Governance to AIs? Some Lessons from Administrative Law
Nicholas Caputo
https://arxiv.org/abs/2509.22717 https://arxiv.org/pdf…

(When) Should We Delegate AI Governance to AIs? Some Lessons from Administrative Law
Advanced AI systems are now being used in AI governance. Practitioners will likely delegate an increasing number of tasks to them as they improve and governance becomes harder. However, using AI for governance risks serious harms because human practitioners may not be able to understand AI decisions or determine whether they are aligned to the user's interests. Delegation may also undermine governance's legitimacy. This paper begins to develop a principled framework for when to delegate AI gove…

The Signalgate Case is Waiving a Red Flag to All Organizational and Behavioral Cybersecurity Leaders, Practitioners, and Researchers: Are We Receiving the Signal Amidst the Noise?
Paul Benjamin Lowry, Gregory D. Moody, Robert Willison, Clay Posey
https://arxiv.org/abs/2509.07053

The Signalgate Case is Waiving a Red Flag to All Organizational and Behavioral Cybersecurity Leaders, Practitioners, and Researchers: Are We Receiving the Signal Amidst the Noise?
The Signalgate incident of March 2025, wherein senior US national security officials inadvertently disclosed sensitive military operational details via the encrypted messaging platform Signal, highlights critical vulnerabilities in organizational security arising from human error, governance gaps, and the misuse of technology. Although smaller in scale when compared to historical breaches involving billions of records, Signalgate illustrates critical systemic issues often overshadowed by a focu…

DealStreetAsia: VC funding in Indonesian startups fell to just $80M in H1 2025 from $200M a year earlier, as startups face fallout from corruption scandals (Nikkei Asia)
https://asia.nikkei.com/spotlight/asean-money/indonesian-s…

Indonesian startups face funding fallout from corruption scandals
Experts urge better governance and more hands-on investor oversight to revive ecosystem

An Adaptive Responsible AI Governance Framework for Decentralized Organizations
Kiana Jafari Meimandi, Anka Reuel, Gabriela Aranguiz-Dias, Hatim Rahama, Ala-Eddine Ayadi, Xavier Boullier, J\'er\'emy Verdo, Louis Montanie, Mykel Kochenderfer
https://arxiv.org/abs/2510.03368

An Adaptive Responsible AI Governance Framework for Decentralized Organizations
This paper examines the assessment challenges of Responsible AI (RAI) governance efforts in globally decentralized organizations through a case study collaboration between a leading research university and a multinational enterprise. While there are many proposed frameworks for RAI, their application in complex organizational settings with distributed decision-making authority remains underexplored. Our RAI assessment, conducted across multiple business units and AI use cases, reveals four key …

A NIS2 pan-European registry for identifying and classifying essential and important entities
Fabian Aude Steen, Daniel Assani Shabani
https://arxiv.org/abs/2508.19395 https://

A NIS2 pan-European registry for identifying and classifying essential and important entities
The NIS2 Directive establishes a common cybersecurity governance model across the European Union, requiring member states to identify, classify, and supervise essential and important entities. As part of a broader governance network, member states are also obligated to notify the European Commission, the Cooperation Group, and ENISA about their cybersecurity infrastructure landscape. This thesis presents an analysis of the NIS2 Directive in this context and translates its provisions into concre…

Howard Lutnick says the US took a 10% stake in Intel; he said earlier that the US won't be on the board or play a role in Intel's governance; INTC closes up 5% (Wall Street Journal)
https://www.wsj.com/tech/trump-to-announce…

The Agent Behavior: Model, Governance and Challenges in the AI Digital Age
Qiang Zhang, Pei Yan, Yijia Xu, Chuanpo Fu, Yong Fang, Yang Liu
https://arxiv.org/abs/2508.14415 https…

The Agent Behavior: Model, Governance and Challenges in the AI Digital Age
Advancements in AI have led to agents in networked environments increasingly mirroring human behavior, thereby blurring the boundary between artificial and human actors in specific contexts. This shift brings about significant challenges in trust, responsibility, ethics, security and etc. The difficulty in supervising of agent behaviors may lead to issues such as data contamination and unclear accountability. To address these challenges, this paper proposes the "Network Behavior Lifecycle" mode…

Modeling and Managing Temporal Obligations in GUCON Using SPARQL-star and RDF-star
Ines Akaichi, Giorgos Flouris, Irini Fundulaki, Sabrina Kirrane
https://arxiv.org/abs/2510.04652

Modeling and Managing Temporal Obligations in GUCON Using SPARQL-star and RDF-star
In the digital age, data frequently crosses organizational and jurisdictional boundaries, making effective governance essential. Usage control policies have emerged as a key paradigm for regulating data usage, safeguarding privacy, protecting intellectual property, and ensuring compliance with regulations. A central mechanism for usage control is the handling of obligations, which arise as a side effect of using and sharing data. Effective monitoring of obligations requires capturing usage trac…

Trump says Intel has agreed to give US a 10% stake in the chipmaker; source: the government won't be on the board or play a major role in Intel's governance (Wall Street Journal)
https://www.wsj.com/tech/trump-to-announce-u-s-taking-nearly-10-s…

PersonaTeaming: Exploring How Introducing Personas Can Improve Automated AI Red-Teaming
Wesley Hanwen Deng, Sunnie S. Y. Kim, Akshita Jha, Ken Holstein, Motahhare Eslami, Lauren Wilcox, Leon A Gatys
https://arxiv.org/abs/2509.03728

PersonaTeaming: Exploring How Introducing Personas Can Improve Automated AI Red-Teaming
Recent developments in AI governance and safety research have called for red-teaming methods that can effectively surface potential risks posed by AI models. Many of these calls have emphasized how the identities and backgrounds of red-teamers can shape their red-teaming strategies, and thus the kinds of risks they are likely to uncover. While automated red-teaming approaches promise to complement human red-teaming by enabling larger-scale exploration of model behavior, current approaches do no…

Do AI Companies Make Good on Voluntary Commitments to the White House?
Jennifer Wang, Kayla Huang, Kevin Klyman, Rishi Bommasani
https://arxiv.org/abs/2508.08345 https://…

Do AI Companies Make Good on Voluntary Commitments to the White House?
Voluntary commitments are central to international AI governance, as demonstrated by recent voluntary guidelines from the White House to the G7, from Bletchley Park to Seoul. How do major AI companies make good on their commitments? We score companies based on their publicly disclosed behavior by developing a detailed rubric based on their eight voluntary commitments to the White House in 2023. We find significant heterogeneity: while the highest-scoring company (OpenAI) scores a 83% overall on…

Economic Competition, EU Regulation, and Executive Orders: A Framework for Discussing AI Policy Implications in CS Courses
James Weichert, Hoda Eldardiry
https://arxiv.org/abs/2509.25524

Economic Competition, EU Regulation, and Executive Orders: A Framework for Discussing AI Policy Implications in CS Courses
The growth and permeation of artificial intelligence (AI) technologies across society has drawn focus to the ways in which the responsible use of these technologies can be facilitated through AI governance. Increasingly, large companies and governments alike have begun to articulate and, in some cases, enforce governance preferences through AI policy. Yet existing literature documents an unwieldy heterogeneity in ethical principles for AI governance, while our own prior research finds that disc…

Patterns in the Transition From Founder-Leadership to Community Governance of Open Source
Mobina Noori, Mahasweta Chakraborti, Amy X Zhang, Seth Frey
https://arxiv.org/abs/2509.16295

Patterns in the Transition From Founder-Leadership to Community Governance of Open Source
Open digital public infrastructure needs community management to ensure accountability, sustainability, and robustness. Yet open-source projects often rely on centralized decision-making, and the determinants of successful community management remain unclear. We analyze 637 GitHub repositories to trace transitions from founder-led to shared governance. Specifically, we document trajectories to community governance by extracting institutional roles, actions, and deontic cues from version-control…

Responsible AI Adoption in the Public Sector: A Data-Centric Taxonomy of AI Adoption Challenges
Anastasija Nikiforova, Martin Lnenicka, Ulf Melin, David Valle-Cruz, Asif Gill, Cesar Casiano Flores, Emyana Sirait, Mariusz Luterek, Richard Michael Dreyling, Barbora Tesarova
https://arxiv.org/abs/2510.09634

Responsible AI Adoption in the Public Sector: A Data-Centric Taxonomy of AI Adoption Challenges
Despite Artificial Intelligence (AI) transformative potential for public sector services, decision-making, and administrative efficiency, adoption remains uneven due to complex technical, organizational, and institutional challenges. Responsible AI frameworks emphasize fairness, accountability, and transparency, aligning with principles of trustworthy AI and fair AI, yet remain largely aspirational, overlooking technical and institutional realities, especially foundational data and governance. …

EU Digital Regulation and Guatemala: AI, 5G, and Cybersecurity
Victor Lopez Juarez
https://arxiv.org/abs/2508.08315 https://arxiv.org/pdf/2508.08315…

EU Digital Regulation and Guatemala: AI, 5G, and Cybersecurity
The paper examines how EU rules in AI, 5G, and cybersecurity operate as transnational governance and shape policy in Guatemala. It outlines the AI Act's risk approach, the 5G Action Plan and Security Toolbox, and the cybersecurity regime built on ENISA, NIS2, the Cybersecurity Act, and the Cyber Resilience Act. It traces extraterritorial channels such as the Brussels effect, private standards, supply chain clauses, and data transfer controls. Guatemala specific impacts include SME compliance co…

Interactive AI and Human Behavior: Challenges and Pathways for AI Governance
Yulu Pi, Cagatay Turkay, Daniel Bogiatzis-Gibbons
https://arxiv.org/abs/2508.16608 https://

Interactive AI and Human Behavior: Challenges and Pathways for AI Governance
As Generative AI systems increasingly engage in long-term, personal, and relational interactions, human-AI engagements are becoming significantly complex, making them more challenging to understand and govern. These Interactive AI systems adapt to users over time, build ongoing relationships, and even can take proactive actions on behalf of users. This new paradigm requires us to rethink how such human-AI interactions can be studied effectively to inform governance and policy development. In th…

An Overview of the Risk-based Model of AI Governance
Veve Fry
https://arxiv.org/abs/2507.15299 https://arxiv.org/pdf/2507.15299

An Overview of the Risk-based Model of AI Governance
This paper provides an overview and critique of the risk based model of artificial intelligence (AI) governance that has become a popular approach to AI regulation across multiple jurisdictions. The 'AI Policy Landscape in Europe, North America and Australia' section summarises the existing AI policy efforts across these jurisdictions, with a focus of the EU AI Act and the Australian Department of Industry, Science and Regulation's (DISR) safe and responsible AI consultation. The 'Analysis' sec…

Documenting Deployment with Fabric: A Repository of Real-World AI Governance
Mackenzie Jorgensen, Kendall Brogle, Katherine M. Collins, Lujain Ibrahim, Arina Shah, Petra Ivanovic, Noah Broestl, Gabriel Piles, Paul Dongha, Hatim Abdulhussein, Adrian Weller, Jillian Powers, Umang Bhatt
https://arxiv.org/abs/2508.14119

Documenting Deployment with Fabric: A Repository of Real-World AI Governance
Artificial intelligence (AI) is increasingly integrated into society, from financial services and traffic management to creative writing. Academic literature on the deployment of AI has mostly focused on the risks and harms that result from the use of AI. We introduce Fabric, a publicly available repository of deployed AI use cases to outline their governance mechanisms. Through semi-structured interviews with practitioners, we collect an initial set of 20 AI use cases. In addition, we co-desig…

Deep Hype in Artificial General Intelligence: Uncertainty, Sociotechnical Fictions and the Governance of AI Futures
Andreu Belsunces Gon\c{c}alves
https://arxiv.org/abs/2508.19749

Deep Hype in Artificial General Intelligence: Uncertainty, Sociotechnical Fictions and the Governance of AI Futures
Artificial General Intelligence (AGI) is promoted by technology leaders and investors as a system capable of performing all human intellectual tasks, and potentially surpassing them. Despite its vague definition and uncertain feasibility, AGI has attracted major investment and political attention, fuelled by promises of civilisational transformation. This paper conceptualises AGI as sustained by deep hype: a long-term, overpromissory dynamic articulated through sociotechnical fictions that rend…

Blueprints of Trust: AI System Cards for End to End Transparency and Governance
Huzaifa Sidhpurwala, Emily Fox, Garth Mollett, Florencio Cano Gabarda, Roman Zhukov
https://arxiv.org/abs/2509.20394

Blueprints of Trust: AI System Cards for End to End Transparency and Governance
This paper introduces the Hazard-Aware System Card (HASC), a novel framework designed to enhance transparency and accountability in the development and deployment of AI systems. The HASC builds upon existing model card and system card concepts by integrating a comprehensive, dynamic record of an AI system's security and safety posture. The framework proposes a standardized system of identifiers, including a novel AI Safety Hazard (ASH) ID, to complement existing security identifiers like CVEs, …

Governing AI R&D: A Legal Framework for Constraining Dangerous AI
Alex Mark, Aaron Scher
https://arxiv.org/abs/2509.05361 https://arxiv.org/pdf/2509.05…

Governing AI R&D: A Legal Framework for Constraining Dangerous AI
As AI advances, governing its development may become paramount to public safety. Lawmakers may seek to restrict the development and release of AI models or of AI research itself. These governance actions could trigger legal challenges that invalidate the actions, so lawmakers should consider these challenges ahead of time. We investigate three classes of potential litigation risk for AI regulation in the U.S.: the First Amendment, administrative law, and the Fourteenth Amendment. We discuss exi…

Asking For It: Question-Answering for Predicting Rule Infractions in Online Content Moderation
Mattia Samory, Diana Pamfile, Andrew To, Shruti Phadke
https://arxiv.org/abs/2510.06350

Asking For It: Question-Answering for Predicting Rule Infractions in Online Content Moderation
Online communities rely on a mix of platform policies and community-authored rules to define acceptable behavior and maintain order. However, these rules vary widely across communities, evolve over time, and are enforced inconsistently, posing challenges for transparency, governance, and automation. In this paper, we model the relationship between rules and their enforcement at scale, introducing ModQ, a novel question-answering framework for rule-sensitive content moderation. Unlike prior clas…