Regulation

Publication date: October 2026 Source: Telecommunications Policy, Volume 50, Issue 9 Author(s): Shuyu Pan, Ye Yuan, Wenle Jiang, Zixin Xu, Zhelun Zhu, Jiacheng Liu

Publication date: September 2026 Source: Technology in Society, Volume 88 Author(s): Ye Zheng, Muhammad Farhan

arXiv:2607.27029v1 Announce Type: new Abstract: This paper reports findings from a structured participatory foresight study comprising two expert forecasting studios convened by The GovLab between 2025 and 2026. The studios brought together nineteen senior practitioners spanning official statistics, digital and trade policy, open science, AI governance, geospatial systems, and public-sector innovation across multiple jurisdictions. Applying a qualitative signal-scanning methodology grounded in t

arXiv:2607.26068v1 Announce Type: cross Abstract: Existing AI governance frameworks, including the EU AI Act and NIST AI RMF, address safety, transparency, and accountability but do not operationalize quantitative constraints on macro-socioeconomic stability. As a result, AI systems may satisfy regulatory requirements while contributing to labor displacement, rising inequality, and reduced economic resilience. We introduce the Human Utility Factor (HUF), a differentiable welfare metric that mode

arXiv:2607.26204v1 Announce Type: cross Abstract: A decentralized autonomous organization (DAO) is a governance entity that allows its stakeholders to manage blockchain-based protocols through smart contracts. The DAO explicitly specifies how stakeholders make and enforce decisions concerning a protocol's operation in a smart contract, aptly referred to as its governance contract. The design of this governance contract, therefore, has far-reaching implications for the security (trust) and privac

arXiv:2607.26348v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used as synthetic users, stand-ins for human respondents whose simulated answers feed product, policy, and market decisions. We ask when this substitution is valid and when it fails, and package the answer as an evaluation framework for intelligent synthetic-user systems. A single protocol, run across four models spanning two families and an 8B-to-frontier capability range, is applied to two independe

arXiv:2502.10605v4 Announce Type: replace-cross Abstract: Problem definition: Estimating causal effects of interventions is central to policy and operations, but outcome data are often missing or costly to obtain. LLMs can provide text annotation at scale but may be subject to unknown bias. When ground-truth outcomes require expensive expert labeling or follow-up, budget limits typically allow only a fraction of the data to be labeled. Motivated by collaboration with a nonprofit conducting stree

arXiv:2512.18072v3 Announce Type: replace-cross Abstract: Conversation is a cornerstone of social connection and is linked to well-being outcomes. Conversations vary widely in type with some portion generating complex, dynamic stories. One approach to studying how conversations unfold in time is through statistical patterns such as Heaps' law, which holds that vocabulary size scales with document length. Little work on Heaps' law has looked at conversation and considered how language features im

Join experts at MediaNama event to discuss age verification, social media restrictions for children, platform design, privacy, online safety, and practical regulatory approaches. The post Final Call: Age Verification and Restricting Social Media for Children, Delhi, 31 July #NAMA appeared first on MEDIANAMA .

First-in-nation law sets up test on states’ power to regulate use of AI as it tries to outlaw fake nude images of real people Elon Musk’s company xAI has sued Minnesota over the state’s first-in-the-nation law banning “nudification” technology on websites and apps, potentially providing a test for how far states can go in constitutionally regulating the use of artificial intelligence. Musk’s company sued on Monday in federal court, days before the law is set to take effect on Saturday and make M

Embodied picking for e-commerce fulfillment remains vulnerable to dense clutter, reflective packaging, and background variation, which can undermine the effectiveness and robustness of visuomotor policies learned from demonstrations. A key limitation is the absence of explicit object grounding, causing policies to exploit spurious contextual cues rather than task-relevant visual evidence. To address this issue, we propose the Foveated Diffusion Policy (FDP), which integrates object-centric visua

“The White House Office of Science and Technology Policy (OSTP) will convene an interagency group to monitor advancements at the intersection of biological sciences and artificial intelligence, including in silico life sciences research,” the guidance says.

The Enhancing K-12 Cybersecurity Act failed to pass in 2023. Sens. Mark Warner and Marsha Blackburn said their bill is urgently needed in 2026.

A standoff over the restrictive voting bill Trump is pushing has left nerves raw at the Capitol, with even the typically staid Thune showing signs of frustration.

Hwaseong, South Korea, past midnight. An engineer watches a defect pattern surface on her screen – the kind that, caught now, saves a week of wafers. She is locked in, fully absorbed, the way engineers get when a breakthrough is close. But she has to go home. The law says so. Yet something is disrupting the clock she races against. Artificial intelligence is quietly rewriting what her hours are worth. On June 29, South Korean President Lee Jae Myung stood alongside the leaders of Samsung...

xAI is suing Minnesota Attorney General Keith Ellison over a law passed back in May that broadly targets "nudification" apps, claiming that the statute's punitive provisions leave the company with "no practical choice but to restrict Grok Imagine's image-editing features in various ways." The law, the company argues, violates the First Amendment. Back in January, […]

Takes aim at eSafety.

The post Senators Push Federal Regulator to Prove School Bus Safety Data Is Accurate appeared first on ProPublica .

Artificial intelligence is changing how legal services are delivered. At Debevoise, we are using AI to help our lawyers work more efficiently while maintaining the legal judgment, rigorous governance and quality standards our clients expect. To provide greater transparency into our approach, we have launched a new AI@Debevoise page. It explains how we use AI [...]

New bipartisan legislation would employ artificial intelligence to improve the longitudinal data systems built by state governments to improve educational and workforce outcomes.

Following KPMG, Deloitte, and Ernst & Young, GPTZero has now found fabricated sources and false claims in four PwC Middle East reports. One governance report scored 84 percent AI-generated and promoted a PwC product with unverified customer references. All Big Four firms are now affected by AI hallucinations. The article PwC has allegedly published AI-generated reports containing false or fabricated sources appeared first on The Decoder .

The new rules give the central bank direct oversight to cut off local access to foreign stablecoins without having to regulate the offshore issuers themselves.

The lawmaker referred to the legislation as the "latest counterproductive attempt to hold Russia accountable for its war against Ukraine."

Nigeria no longer has a payments problem. It has a trust problem. That is the central argument of a new report by Bridgforte, a policy research institute, published in partnership with the United Nations Development Programme (UNDP) Innovation Hub in Lagos, which argues that confidence in Nigeria's financial system is now determined less by how quickly money moves than by how reliably the system responds when something goes wrong. The country processed more than ₦1.2 quad

Fine-tuning is the dominant paradigm for specializing large language models (LLMs), yet it exposes a critical vulnerability: malicious data providers can embed harmful behaviors into downstream corpora, creating models that retain professional skills while violating human values on demand. Existing safety-realignment defenses often fail in practice due to three key limitations: they frequently cause catastrophic forgetting of specialized skills; their effectiveness collapses when the defender ca

As commerce vendors embed genAI assistants into their platforms, digital leaders must balance productivity gains against growing governance risks to ensure that AI-generated work remains visible, auditable, explainable, and aligned with organizational policies.

This paper reports findings from a structured participatory foresight study comprising two expert forecasting studios convened by The GovLab between 2025 and 2026. The studios brought together nineteen senior practitioners spanning official statistics, digital and trade policy, open science, AI governance, geospatial systems, and public-sector innovation across multiple jurisdictions. Applying a qualitative signal-scanning methodology grounded in the horizon-scanning and anticipatory-governance

For years, financial institutions have treated compliance as a cost of doing business. A regulation ...

Deep reinforcement policy learning directly in physical robots (on-robot learning) remains bottlenecked by slow wall-clock training times. We present SymmGrid, a trajectory level augmentation framework inspired by parallelized symmetries that super-scales group transformations to significantly accelerate on-robot learning in both egocentric and exocentric visual setups. We model a Markov Decision Process (MDP) under a symmetry tree, in which state-action pairs have admissible parallelized invari

If 2024 was about GenAI experimentation and 2025 was about finding use cases, 2026 is the year of operationalisation, governance and control. Take a look at our product launch table […] The post The latest Orange Rag Product Table – link here appeared first on Legal IT Insider .

Recent advancements in Computer Go, driven by AlphaZero and MuZero, rely heavily on Monte Carlo Tree Search (MCTS) to correct the errors of the neural network policy. While effective on massive computational clusters, this dependence creates a critical bottleneck on consumer-grade hardware, where the computational cost of tree management severely limits inference rates. Furthermore, without deep search, these models suffer from hallucination, proposing moves with high confidence that are strateg

American Television Alliance says FCC is issuing conflicting guidance on raising retransmission consent cost issues in connection with TV station mergers and TV station ownership rulemakings

Group Relative Policy Optimization (GRPO) has become a standard reinforcement learning method for post-training language models. Recent work shows that GRPO can reduce the base model's reasoning capacity and underperform it in Pass@k when k is large, indicating reduced coverage of reasoning paths. We find that this reduction is associated with GRPO concentrating on responses that the base model already generates with high probability. We trace this concentration to two mechanisms in the GRPO upd

A standardized framework for regulating the safety and efficacy of AI in healthcare has yet to be established.

Open source communities have been flooded with AI-generated contributions. In defense, they have written contribution rules to regulate coding agents' behavior, spanning from a total ban, mandatory disclosure, to verification gates and human sign-offs. Yet, whether coding agents read and follow those rules, and behave in open source repositories, remains unknown. To estimate real-world rule compliance of coding agents, we curate 106 issues from 49 repositories containing AI contribution rules in

The regulator said a fee of between £237,500 to £712,500 per megawatt should be charged for upcoming projects.

The proposed Kenya Artificial Intelligence and Other Emerging Technologies Policy says individuals "are entitled to know when an AI system is acting on them" and requires organisations to disclose when customers are communicating directly with AI.

Chinese manufacturers of multilayer ceramic capacitors (MLCCs) – tiny components required in great numbers to regulate electrical flow in electronic devices – are riding a stock rally on the back of explosive first-half earnings, fuelled by insatiable global demand for artificial intelligence infrastructure. Shares of Shenzhen-listed Guangdong Fenghua Advanced Technology, one of the country’s leading producers of consumer-grade MLCCs, surged by the exchange-imposed 10 per cent daily limit on...

In fünf Sessions lernen IT-Entscheider, KI strategisch im Unternehmen zu verankern und dabei Mitarbeitende mitzunehmen – alles im Einklang mit dem EU AI Act.