Stay updated with the latest industry insights on AI compliance.

Securing AI: Treating Tools as New Team Members

AI's impact on fairness in housing is a growing concern, with debates surrounding its potential to both advance and hinder equitable practices.

An analysis of the controversy surrounding the Vice-Chancellor's AI-annotated welcome email at the University of Otago, exploring AI detection, university policies, and transparency issues.

The Challenges of Securing AI Insurance

Isle of Man's Groundbreaking Data Asset Laws: A New Era for AI Ownership

Global Initiative for AI Governance: Ensuring Safety and Well-being

AI Governance: Bridging the Gap in Hong Kong's Listed Companies

Exploring AI's impact on legal practice and regulation.

Championing Responsible AI Governance in Africa

Empowering Legal Operations with Responsible AI

WhiteHawk's strategic acquisition of Quixxi aims to boost its AI governance solutions and expand its digital risk management capabilities.

AI Disinformation: A Governance Challenge for Digital Platforms

Bridging the AI Governance Gap to Prevent Security Incidents

AI policy fragmentation threatens U.S. competitiveness as 50 states pursue independent regulations without a federal standard, creating a chaotic landscape. Appian Corp. aims to bridge the gap by leveraging its government‑relations expertise to help establish coherent, nation‑wide AI guardrails.

AI governance is essential for South Africa's financial institutions to safely adopt agentic AI in compliance operations, ensuring trust, transparency, and regulatory oversight. Embedding strong guardrails across the AI lifecycle enables continuous, efficient AML/KYC processes while meeting post-grey-list regulatory expectations.

AI tools are entering manufacturing systems without contracts or due diligence, creating blind spots in third-party risk management. Implementing AI-specific intake workflows and questionnaire addenda can close this gap and ensure compliance.

Florida lawmakers face mounting pressure to pass AI regulations that would protect children, but the House remains hesitant, while the Senate moves forward with a comprehensive AI bill of rights. Advocates argue swift state action is essential, warning that inaction would be a failure of leadership.

The article explains how AI washing—misrepresenting AI capabilities—creates significant board-level fiduciary and liability risks, and it outlines a framework for implementing quantitative AI governance metrics to ensure accurate disclosures. It emphasizes the role of the Chief Intellectual Property Officer in leading AI oversight and provides practical steps for boards to adopt robust AI governance and prevent regulatory exposure.

Missouri lawmakers are debating 16 AI regulation bills, but none have advanced as federal pressure and concerns about broadband funding stall progress. The proposed legislation would declare AI systems non‑sentient, prohibit legal personhood, and require owners to notify users when AI is involved.

Microsoft Copilot Health is a direct‑to‑consumer AI platform that aggregates users’ health records, wearable data, and lab results into a personalized profile, while emphasizing it is not a diagnostic tool. The post highlights key legal concerns such as data privacy, AI liability, unauthorized practice of medicine, and cybersecurity risks associated with this emerging health‑tech service.

SAS AI Navigator is a SaaS solution that provides a centralized overview of all AI assets, linking models and agents to internal policies and external regulations to mitigate shadow AI risks. It integrates with existing AI workflows, allowing organizations to register models, track their lifecycle, and enforce compliance across sectors such as finance and healthcare.

Defined.ai has been awarded ISO 42001 certification, confirming its leadership in responsible AI data governance, security, and privacy. This achievement complements its existing ISO 27001 and ISO 27701 certifications, reinforcing trust in its ethical AI training data services.

U.S.-based businesses operating high‑risk AI systems must prepare for the EU AI Act’s main compliance deadline of August 2, 2026, which will require conformity assessments, registration, and technical documentation for any AI output affecting the EU. Delays in the EU’s timeline could push key obligations to 2027 or 2028, but companies should act now to avoid penalties and market restrictions.

The webinar will explore how to transform unchecked “Shadow AI” adoption into a strategic advantage by presenting a practical, multi‑layered governance roadmap. Attendees will learn to audit AI entry points, implement a “Governance‑as‑Enabler” framework, and establish cross‑functional oversight for secure, scalable AI deployment.

Credo AI has joined the Coalition for Health AI (CHAI) Partner Program to bring its AI governance platform to healthcare, helping organizations manage risk, compliance, and auditability across clinical and operational AI systems. The partnership aims to operationalize CHAI’s framework, streamline regulatory obligations, and advance standardized AI governance for health AI.

China’s AI regulators are tightening rules, demanding platforms like ByteDance clearly label AI-generated content to curb misinformation and boost transparency. This stricter enforcement aims to balance responsible AI use with innovation, shaping the future of digital ecosystems in China and beyond.

The guide outlines a practical, risk‑based governance playbook for compliance leaders to safely adopt generative AI while maintaining transparency, accountability, and regulatory readiness. It details a tiered risk classification, use‑case registry, and controls such as approved platforms, technical guardrails, and continuous education to mitigate hallucinations, data privacy, bias, and Shadow AI risks.

The bipartisan Senate bill, known as the CHATBOT Act, aims to protect children by requiring AI companies to create family accounts with parental controls, privacy safeguards, and limits on manipulative features and targeted ads. It also seeks to study the mental health impact of chatbot use on minors while navigating potential First Amendment challenges.

AI integration in unified communications and customer experience boosts efficiency but creates significant compliance and governance challenges, especially with shadow IT and fragmented tech stacks. Organizations must adopt structured frameworks, like “approve, pilot, restrict,” and strengthen identity, access, and policy management to ensure secure, responsible AI adoption.

The AI Governance Conference in Chennai gathered policymakers, technologists, legal experts, industry leaders, and academics to discuss AI ethics, data protection, liability, bias, and sovereign AI, aiming to create actionable regional roadmaps for responsible AI governance. Organized by DCIR, Dhirubhai Ambani University – School of Law, and IITM Pravartak with MeitY support, the event featured keynote addresses, thematic sessions, and a special address by the CEO of Tamil Nadu Technology Hub.

The White House is pushing a federal AI regulatory framework to replace fragmented state laws, while states like California, Colorado, Utah, and Texas continue to enact their own AI legislation. This creates legal uncertainty, requiring businesses to comply with existing state rules until federal preemption is clarified.

PolicyGuard enables enterprises to define, edit, and enforce custom AI policies across models, agents, and applications in real time, with built-in reasoning and audit-ready decisions. It integrates over 30 regulatory frameworks and continuously refines policies using Policy Lab, all without requiring engineering effort.

SAS announced extensive platform updates that add a new AI governance layer, SAS AI Navigator, and enhanced agentic AI features such as Viya Copilot and industry‑specific AI agents. These enhancements aim to help enterprises operationalize AI at scale while ensuring trust, compliance, and integrated data management.