Stay updated with the latest industry insights on AI compliance.

OMS has integrated Curvestone AI’s compliance checker into its mortgage case journey, automatically reviewing documents for completeness, consistency, and regulatory compliance. The AI-driven tool provides instant alerts on missing or mismatched information, creating a full audit trail while allowing brokers to continue using the existing OMS platform.

Colorado’s AI Act, set to take effect on June 30, 2026, imposes extensive obligations on employers. However, a new proposal from the state’s AI Policy Work Group aims to replace much of the law with a streamlined framework and delay its effective date to January 1, 2027. If adopted, the proposal would eliminate many risk management and disclosure requirements, focusing only on transparency for covered automated decision‑making tools.

The article explains how AI washing—misrepresenting AI capabilities—creates legal and fiduciary risks for boards and executives, and it proposes adopting quantitative AI governance metrics, such as the AIQ Score™, to verify claims and mitigate liability. It outlines a practical framework, led by the Chief Intellectual Property Officer, for implementing board‑level AI oversight, integrating metrics into committee reporting, and using verified scores to gain competitive advantage and regulatory compliance.

AI governance is now a core board responsibility, requiring expertise, continuous oversight, and dedicated agenda items to manage risks such as hallucinations, bias, and operational harm. The checklist outlines actions for boards to ensure AI expertise, accountability, risk assessment, and resource alignment while mitigating regulatory, financial, and reputational threats.

The government aims to finalize an AI Governance Framework within two months, emphasizing a trusted, inclusive, and ethically governed AI ecosystem aligned with national priorities. The framework will promote responsible AI development, safeguard data privacy, and support innovation across sectors like education, health, and agriculture.

The Philippines' first AI governance framework is set to be finalized within two months, aiming to close the country's AI readiness gap by establishing a human‑centered, rights‑based policy that safeguards data privacy, security, and accountability. It will guide coordinated efforts across government, academia, and the private sector to harness AI for sustainable economic growth while mitigating risks.

AI governance is shifting from vague principles to measurable evidence, requiring organizations to track metrics like inventory coverage, risk tiering, and fairness audits. By adopting a concise scorecard and regular reporting, companies can demonstrate compliance, control, and trust to boards and regulators.

AI initiatives often stall not because of technology but due to a lack of governance, with fragmented data, unmanaged APIs, and unclear decision‑making authority creating invisible risks. Establishing robust control, traceability, and compliance layers is essential for turning AI prototypes into safe, scalable production solutions.

California Governor Gavin Newsom’s Executive Order N‑5‑26 directs state agencies to embed AI safety, bias mitigation, and risk‑management safeguards into public procurement contracts, creating new certification and disclosure requirements for AI vendors. This state‑level framework could clash with federal AI policies and adds significant compliance obligations for companies doing business with California’s government.

Saudi Arabia has opened a public consultation on its draft Responsible AI Policy, introducing a risk-tiered framework and operational mechanisms such as system registration, AI ethics labeling, and audit obligations. The policy aims to shift AI governance from high‑level principles to concrete, implementation‑focused requirements for government, private sector, and individuals.

South Korea’s AI Basic Act, effective Jan 22, 2026, establishes a multi-layered regulatory framework that combines a binding horizontal AI law, cross-cutting data-protection rules, and sector-specific regulations. It imposes differentiated obligations—such as transparency for generative AI, risk management for high-impact AI, and enhanced safety for high-performance AI—while providing a one-year grace period for organizations to build compliant AI governance.

Agentic AI can autonomously take actions on behalf of users, raising legal, governance, and security risks that require clear authority definitions, human oversight, and robust monitoring. Organizations should implement pre‑deployment risk assessments, assign accountable owners, and establish controls such as audit logs and the ability to pause or disable agents.

Merz’s push to loosen EU AI rules for industrial sectors faced opposition from his coalition partner, Germany’s Social Democrats, who warned that the cuts would weaken consumer protections and favor foreign companies. The Social Democrats sent an urgent letter urging EU lawmakers to resist any changes that would undermine the AI Act’s horizontal approach.

The University of Johannesburg launched the "Beyond the Code: AI and Law" podcast, positioning the institution at the forefront of global AI governance debates. Hosted by Vice‑Chancellor Prof Letlhokwa George Mpedi, the series calls for enforceable regulations to ensure AI serves humanity responsibly.

The EU’s AI Act Omnibus negotiations have stalled, leaving the high‑risk AI system enforcement deadline of 2 August 2026 unchanged while debates continue over carve‑outs for sector‑specific regulations. A new trilogue is expected in the coming weeks, with the Irish EU presidency taking over on 30 June, which could shape the final path forward.

SAS unveiled a suite of AI governance tools, including the SAS AI Navigator and new Viya assistants, to make agentic AI trustworthy and compliant for enterprises. The company also announced upcoming initiatives like the SAS Quantum Lab, aimed at democratizing quantum AI while emphasizing human oversight.

EU AI Act reform talks have stalled, delaying the agreed postponement of high‑risk AI compliance dates and risking a return to the original 2 Aug 2026 deadline. Negotiators plan to resume discussions in two weeks, while critics warn the deadlock could increase compliance costs and fragment the regulatory framework.

The article argues that current knowledge about AI is insufficient for effective regulation, emphasizing the need for an industry consortium to develop flexible standards before formal government rules can be enacted. It highlights recent concerns, such as Anthropic's Mythos model exposing zero‑day bugs, as examples of why cautious, collaborative oversight is essential.

AI safety faces a collective-action problem where competitive pressure drives labs to cut safety measures, and existing regulatory approaches struggle with information asymmetry, rapid pacing, and irreversible harms. Adopting a supervised self-regulatory organization, modeled on finance’s SROs, could coordinate standards, enforce rules, and provide real-time oversight while balancing industry expertise with public accountability.

The 2026 China Internet Civilization Conference in Nanning will focus on AI, releasing new Artificial Intelligence Application Ethics and Safety Guidelines. Over two days, the event features a main forum and 14 sub-forums addressing internet development, digital society, and responsible technology use.

The post discusses how the rise of AI in health technology raises stakes for insurers and healthcare entities, highlighting the challenges of balancing sophisticated AI capabilities with robust data stewardship and compliance. It outlines three vendor profiles—AI-native, general-purpose AI, and legacy healthcare tech—and emphasizes the need to ask targeted questions to ensure responsible and secure AI deployment.

The Digital Regulation Cooperation Forum, comprising the UK's four main digital regulators, will prioritize AI developments that pose new regulatory challenges and opportunities in its 2026‑27 work plan. It aims to generate cross‑cutting insights, strengthen joint work on smart data, promote economic growth, and address online harms.

EU countries and European Parliament lawmakers failed to reach a deal on a watered‑down version of the AI Act after 12 hours of negotiations, delaying the next round of talks to next month. The proposed changes, part of the Digital Omnibus, aim to simplify digital regulations but have sparked criticism for potentially giving Big Tech an advantage.

AI adoption is soaring across financial services, with 61% of professionals using AI daily, but only 32% have monitoring systems that can fully detect AI‑generated risks, creating compliance gaps. Organizations seek stronger oversight to ensure transparent, supervised, and defensible AI‑assisted communications.

Trust.AI has partnered with Carahsoft to distribute its AI governance platform to public sector agencies, helping them meet stricter regulatory and compliance requirements. The collaboration aims to provide secure, auditable AI solutions across high‑risk sectors such as defense, healthcare, and law enforcement.

EU lawmakers and member states failed to reach a deal on a softened AI Act, leaving the original high-risk deadlines unchanged and pushing negotiations to May. If no agreement is reached by August 2, the strict obligations will apply as originally drafted.

The bipartisan legislative package introduced by Reps. Ted Lieu and Jay Obernolte consolidates over 20 AI policy proposals to advance standards, innovation, governance, workforce development, and public safety. It builds on the AI Task Force’s findings, aiming to strengthen U.S. leadership in AI through coordinated legislation.

Lookout launches AI Visibility & Governance, a mobile‑native solution that discovers, monitors and controls both sanctioned and unsanctioned AI activity on devices, exposing “Shadow AI” risks. The platform offers real‑time AI app discovery, agent behavior monitoring, data guardrails and automated compliance evidence to secure AI use across the mobile ecosystem.

Senior leaders warn that the lack of AI governance standards leaves UK financial services exposed to systemic risk, as AI tools become more generative and harder to validate. The report calls for sector‑specific operational guidance and a shared implementation standard to close the oversight gap and protect the industry from AI‑enabled attacks.

EU legislators failed to reach a deal to delay the AI Act, leaving high‑risk AI rules set to take effect this August. Talks stalled over whether machinery and medical devices should follow sectoral laws instead of the AI Act, with no new meeting date scheduled.

The Colorado attorney general announced that he will not enforce the state’s AI law when it takes effect this summer, requesting a temporary delay in enforcement amid the xAI lawsuit. Lawmakers and advocacy groups warn that postponing enforcement could expose Coloradans to ongoing harms from unregulated AI systems.

AI State Regulatory Frontiers explores how existing laws—such as anti-discrimination, employment, and privacy regulations—already govern AI use and shape corporate risk. The episode shows that, without a single federal AI law, organizations can manage compliance by aligning AI applications with current legal frameworks and thoughtful risk assessment.

EU institutions failed to reach an agreement on AI Act amendments after 12 hours of talks, with disputes over how the law interacts with sectoral rules causing a pause in negotiations. A new meeting is expected in about two weeks to address the delays affecting high‑risk AI system provisions.