Regulation

End-to-end vision-language navigation (VLN) with causal vision-language models can map instructions and egocentric observations directly to actions, but standard behavior cloning supervises only the next action and does not explicitly train the policy state to be predictive of future visual outcomes. We first ask a diagnostic question: if the policy is given an expert-trajectory future image as privileged input at training and testing time, is that additional visual evidence useful for choosing

Discovery's a bitch, man. The post Trump Bit Off More Than He Could Chew Suing BBC, So DOJ Will Chew It For Him appeared first on Above the Law .

Most AI chips are general-purpose. You load a model onto them, and they run it. Google is reportedly trying something stranger: a chip that is the model, with Gemini’s blueprint etched into the hardware itself. The project, informally called “Frozen v2,” was reported by The Information and picked up by Reuters and Bloomberg Law. Alphabet […] This story continues at The Next Web

“There isn’t going to be a third reconciliation package. So anything that’s in there is not going anywhere,” said Sen. Jeanne Shaheen, D-N.H.

* After the Trump family and his administration prevailed upon Romanian officials to release suspected international sex traffickers, the Tate brothers are now set to be extradited to the UK. [ Forbes ] * Litigation funders getting squeezed on both sides. Some states have attempted to ban their work, and elsewhere investors are putting money behind law firms directly rather than work with a funder. [ Bloomberg Law News ] * ACLU gearing up to take on state surveillance tactics, which are much mor

Alternative legal services provider QuisLex today (20 July) unveiled a new advisory framework designed to help legal departments and law firms build the institutional capability needed to produce AI-assisted legal work that […] The post QuisLex launches AI capability framework as focus shifts from adoption to accountability appeared first on Legal IT Insider .

These EU AI Act provisions will start to apply on August 2 | Edition #307

'I thank FCC Chairman Brendan Carr for supporting our efforts and for his continued commitment to connecting households across our country to the Internet,' Thune said

The singularity will be seen in hindsight as an interregnum

Airtel allows hotspot use under its Unlimited 5G Data plan, with a 300GB fair-use limit. Detecting tethering may raise questions under India’s net-neutrality rules and about user privacy. The post How would Airtel detect hotspot use amid questions over its Unlimited 5G policy? appeared first on MEDIANAMA .

Data centers have become a kind of boogeyman among voters lately. Recent polling even suggests that new data center construction is less popular than the IRS. Only 27% of Americans at least somewhat ...

Financial services professionals caution that AI tools lack regulation, fiduciary duty and the contextual understanding needed for sound financial decision-making.

PPaint/Ikon Images Balancing the daily grind of operations with the spark of innovation is one of the most persistent challenges managers face.1 Regulatory compliance, performance metrics, and the never-ending demands of customers can easily crowd out creative thinking. Work overload or mismanaged operations elevate employee stress, which directly constrains ideation capacity. This cognitive bottleneck triggers […]

Florida Republican congressman and governor's race candidate Byron Donalds has announced legislation intended to prevent artificial intelligence data centers from increasing utility costs.

Financial statements (FS) such as Balance Sheet (BS), Income Statement (IS) and Cash-flow Statement (CS) summarize the annual financial performance of a company. FS are widely used for evaluating corporate governance, credit appraisal, risk analysis, validate taxation, make investment decisions etc. Financial auditing is a complex and knowledge-intensive discipline whose one important aim is ensuring integrity, accuracy, fairness and absence of material misstatement in the published FS. Given th

Does adding a reasoning step make a Vision-Language-Action (VLA) model more robust to perturbation? Intuitively, a policy that reasons before acting should absorb a perturbed input better than one that maps observations directly to actions. We test this premise head-on across three models that span the reasoning spectrum (no reasoning, a text chain-of-thought, and a latent iterative loop), perturbing each at the vision, reasoning, and action stages on LIBERO and SimplerEnv. Two questions organiz

SCAORA opposes mandatory AI-use disclosures for lawyers, calling them unworkable. It also flags hallucinations, opaque AI systems, weak accountability, and risks to judicial data. The post Supreme Court lawyers’ body opposes mandatory AI disclosure in draft AI regulations appeared first on MEDIANAMA .

In brief On 2 February 2026, Saudi Arabia issued Royal Decree No. M/169 approving a new Copyright Law, by virtue of Cabinet Decision No. 560/1447 dated 27 January 2026. The Law was published in the Official Gazette on 13 February 2026 and will enter into force on 12 August 2026, replacing the 2003 Copyright Law [...] The post Saudi Arabia: New Copyright Law Modernises KSA IP Framework appeared first on Connect On Tech .

Startups operating in regulated or trust-sensitive sectors can now apply for VOVE ID's Compliance Infrastructure Program, designed to identify gaps in their onboarding, fraud prevention, and other compliance processes.

On Wednesday 15 July 2026, the Court of Appeal (Vos MR, Warby LJ and Whipple LJ) handed down judgement in the appeal of Vince v ANL [2026] EWCA Civ 899. Eco entrepreneur, Dale Vince brought a defamation and subsequent data protection claim against Associated Newspapers in relation to the publication of an article which juxtaposed […]

The secretary of defense’s November announcement on acquisition reform laid out an unprecedented vision across the entire acquisition spectrum to improve the delivery speed of critical capabilities to our warfighters. One foundational pillar is the implementation of a commercial first policy, which laid out several initiatives: leveraging existing but less often used acquisition authorities, maximizing non-traditional contract vehicles, and increasing the use of more flexible solicitations. Most

Commission publishes guidelines on transparency obligations for providers and deployers of certain AI systems Anonymous (not verified) Mon, 07/20/2026 - 09:08 Today, the European Commission published guidelines to assist providers and deployers of artificial intelligence (AI) systems in meeting the AI Act's transparency obligations, which start to apply on 2 August 2026. Transparency obligations will help people recognise when they are interacting with AI or when content has been generated or al

Inside the ‘Culture of Fear’ at One American-Chinese University Emma Whitford Mon, 07/20/2026 - 03:00 AM Faculty at Wenzhou-Kean have accused their employer of obfuscatory employment agreements, wrongful termination, discrimination, retaliation and lack of shared governance. University officials dispute the charges. Byline(s) Emma Whitford

On Techpoint Digest, we talk about Kenya restoring the president's website after a hack, how fertility struggles led to a health startup, and Tinubu signing an executive order on virtual assets.

Guidelines on transparency obligations for providers and deployers of AI systems Anonymous (not verified) Mon, 07/20/2026 - 08:58 These guidelines define the scope of transparency obligations for providers and deployers of AI systems under article 50 of the AI Act. The AI Act follows a risk-based approach, classifying AI systems into four different risk categories, one of which is AI systems posing transparency risks that are subject to the obligations laid down in Article 50 of the AI Act . The

SEBI has warned regulated entities and listed companies about the "Boss Scam", in which fraudsters impersonate senior executives using deepfakes, voice cloning and malware to authorise fund transfers. The post SEBI warns of AI impersonation scams with fraudsters posing as company CXOs appeared first on MEDIANAMA .

Group Relative Policy Optimization (GRPO) is a powerful reinforcement learning algorithm for aligning generative models with human preferences. While successful in large language models~\cite{shao2024deepseekmathpushinglimitsmathematical}, its extension to diffusion and flow matching models introduces a severe computational bottleneck: gradients must be back-propagated through the high-capacity DiT backbone at \emph{every} timestep of the sampling trajectory, making high-resolution text-to-image

Join our invite-only New Delhi roundtable on age verification, children’s social media access, enforcement challenges, and policy alternatives to blanket restrictions in India. The post Agenda: Age Verification and Restricting Social Media for Children, Delhi, 31 July #NAMA appeared first on MEDIANAMA .

Publication date: Available online 18 July 2026 Source: Computers and Education: Artificial Intelligence Author(s): Hongming Li, Shan Zhang, Anthony F. Botelho

China’s market regulator is poised to announce the outcome of its months-long antitrust investigation into Trip.com Group, the country’s largest online travel services provider, as soon as this week, according to three people familiar with the matter. The probes, launched in January by the State Administration for Market Regulation (SAMR), could be concluded as early as Monday, one of the people said. The company could face a fine of between 2 billion yuan (US$295 million) and 6 billion yuan,...

arXiv:2607.15397v1 Announce Type: new Abstract: Electronic health record audit logs record timestamped actions through which clinical work is carried out. Generated as operational metadata, they now support research on clinician effort, patient outcomes, care-team coordination, and workflow structure. This Perspective explains that breadth by articulating audit logs as multi-axial event streams and drawing implications for representation learning, evaluation, and governance. Each logged action b

arXiv:2607.15704v1 Announce Type: new Abstract: Policymakers around the world face the question of how to use artificial intelligence in general, and large language models in particular, to improve the policymaking process. Used well, large language models can strengthen the collection, interpretation and synthesis of policy-relevant information and the drafting of policy-relevant output. Yet the use of large language models in policymaking is associated with risks. Output that is plausible but

arXiv:2607.15738v1 Announce Type: new Abstract: Generative AI (GenAI) is increasingly used by students for programming explanation, debugging, and assignment support. Yet unrestricted large language model (LLM) tutors can hallucinate, contradict course policy, reveal complete solutions, and foster passive dependence. This paper presents EduGuard, a safe retrieval-augmented generation (RAG) tutoring framework for introductory programming. EduGuard integrates query understanding, instructor-approv

arXiv:2607.15888v1 Announce Type: new Abstract: Autonomous driving ethics is not only an expert concern, but also a public issue involving risk, responsibility, and governance. However, non-experts often struggle to interpret these issues in concrete incidents, especially when responsibility is distributed across multiple stakeholders. This paper investigates interactive narrative as a public-facing method for eliciting situated ethical reflection on autonomous driving. We present Red Light, Gre

arXiv:2607.16130v1 Announce Type: new Abstract: AI governance increasingly requires judgments about whether an AI system remains adequately trustworthy over time, whether observed changes are tolerable, and how such judgments should be documented in a transparent and contestable way. Yet existing work on AI trustworthiness remains either too high-level to support lifecycle monitoring and reassessment or too narrowly metric-driven to connect with governance needs. We therefore propose a lightweig

arXiv:2607.15769v1 Announce Type: cross Abstract: Generative AI and coding agents are intensifying a central governance tension in open-source software (OSS): they scale contribution generation faster than maintainers can assess risk, evidence, and accountability. Existing responses improve agent-readability and traceability, but project rules must also organize contribution-specific risk, evidence, accountability, and review-gate states. We theorize this organizational arrangement as project-si

arXiv:2607.15879v1 Announce Type: cross Abstract: Much empirical legal research depends on translating unstructured text into structured variables. In corporate governance research as elsewhere, this translation has traditionally relied on human coding of documents such as charters and bylaws, a process that is costly, difficult to scale, and often opaque. This paper introduces DECODEM, a set of benchmark datasets for evaluating the automated extraction of corporate governance variables from org

arXiv:2607.15944v1 Announce Type: cross Abstract: Standard automation ROI misses four categories of systemic risk -- tacit knowledge erosion, resilience reduction, regulatory exposure, and socio-institutional capital degradation -- that affect long-term organizational performance. PHP-AIO (Protocol for Human Preservation in AI-Optimized Organizations) is a five-gate sequential decision protocol with a final composite check that quantifies these unpriced systemic risks at the role level and produ

arXiv:2607.16010v1 Announce Type: cross Abstract: Governments are increasingly mandating that LLM-generated content carry watermarks. The EU AI Act calls for markings that are "sufficiently reliable and robust." California's SB 942 requires disclosure that is "permanent or extraordinarily difficult to remove." Both mandates rest on an untested assumption: that watermark detection yields evidence reliable enough for courts. This paper tests that assumption directly. We evaluate three representati