Stay updated with the latest industry insights on AI compliance.

Key EU lawmakers have supported a ban on AI applications that generate unauthorized sexually explicit images, urging that this ban be included in the forthcoming changes to the AI Act. The European Parliament is set to vote on this proposal on March 26, as discussions continue between lawmakers and EU governments.

AI-generated music and playlists raise complex questions regarding copyright protection under Canadian law, particularly concerning originality and human involvement. As AI tools increasingly influence music creation, organizations must ensure that human contributions are well-documented to support claims of copyright.

The EPP Group is set to vote on delaying and simplifying the EU's new AI rules to better support companies, especially start-ups and scale-ups, by reducing overlapping requirements. The proposal aims to ensure that existing industry rules apply, minimizing costs and facilitating innovation in AI technologies.

The Colorado AI Policy Work Group has reached an agreement on a new framework to replace the controversial 2024 AI law, which was criticized for being overly restrictive. Governor Jared Polis supports the new draft, emphasizing the need for transparency in AI usage that affects residents' lives.

Recent studies reveal that AI systems can generate convincing ethical responses without genuinely reasoning about morality, which could mislead users into thinking the AI understands ethical principles. Researchers argue that for true moral reasoning, AI would need formal representations of ethical rules, rather than merely reflecting patterns from training data.

The Texas Responsible AI Governance Act addresses the growing concerns about AI safety by imposing restrictions on harmful uses of the technology without stifling innovation. This law represents an effort to find a balance between protecting the public and fostering technological advancement.

The EU's proposed changes to the AI Act risk weakening essential safeguards against potentially harmful AI systems, despite increasing evidence of AI-related harms. Lawmakers must focus on reinforcing protections and improving redress mechanisms rather than diluting existing regulations.

Many executives expected AI to enhance customer experience performance by now, but only about 5.5% of organizations are realizing its value due to data compliance challenges. As a result, synthetic data generation is gaining traction, offering a safer alternative to using real customer data while still allowing companies to train AI systems effectively.

Lee Jong-oh, Deputy Governor for Digital and IT at the Financial Supervisory Service, emphasized the urgent need for the financial sector to establish an AI decision-making body led by a Chief Consumer Officer to prevent risks associated with AI use. He highlighted that only 8% of domestic financial companies provide high-impact AI services, stressing the importance of developing robust governance and risk management frameworks as AI technology evolves.

The GSA has released draft AI terms and conditions for its upcoming Multiple Award Schedule refresh, emphasizing contractor obligations when deploying AI capabilities for federal contracts. This marks a significant shift toward "government-first" AI terms, requiring contractors to ensure ownership of government data and use only American AI systems.

Navigating the regulatory pitfalls of AI charting is essential for healthcare organizations utilizing AI tools for clinical documentation. With the potential for compliance issues, organizations must ensure accurate data submission and be aware of evolving regulations from both federal and state levels.

As organizations face an increasingly complex regulatory landscape, generative AI is emerging as a critical support tool in regulatory risk management. It enhances compliance teams' abilities to proactively identify risks, improve accuracy, and streamline processes, while ethical considerations regarding data quality and bias remain essential.

This practical guide outlines key obligations and guidance from Australian financial regulators regarding the use of artificial intelligence. It also highlights steps firms can take to ensure compliance and the critical questions that boards and executives should ask management.

The Pennsylvania Senate has passed a bill aimed at regulating AI chatbots used by children and teens, requiring operators to implement safeguards against promoting self-harm or violence. The measure, sponsored by Sen. Tracy Pennycuick, emphasizes the need for protections as reliance on these technologies grows among vulnerable users.

MEPs have proposed simplifying AI regulations by setting clear deadlines for high-risk systems and banning "nudifier" apps that manipulate images without consent. The changes aim to enhance legal certainty and stimulate AI adoption among EU companies while ensuring safety and flexibility.

The global AI governance platforms market is expected to grow from USD 4.2 billion in 2025 to USD 78.9 billion by 2035, achieving a CAGR of 34.1%. This growth is driven by the increasing complexity of AI deployments and the rising emphasis on ethical and responsible AI usage across various industries.

Digital technologies and AI are reshaping economic development and international cooperation, prompting the UN to promote responsible governance and equitable access. Initiatives like the Global Digital Compact and the Independent International Scientific Panel on AI aim to enhance digital transformation and address global inequalities in access to technology.

A task force of consumer advocates and technology groups has proposed a new framework to rewrite Colorado's artificial intelligence regulations, aiming to address discrimination issues in AI usage. However, the agreement's future remains uncertain as the proposal must now navigate the complexities of the legislative process.

Kore.ai has launched its Agent Management Platform (AMP) to help organizations govern and monitor AI agents as their use expands. The platform aims to provide a unified control layer for various AI systems, improving visibility, performance monitoring, and cost oversight across multiple deployments.

The National Council of Insurance Legislators (NCOIL) is considering a resolution to encourage state-level regulation of artificial intelligence in the insurance sector, emphasizing the need for consumer protection while fostering innovation. The resolution highlights concerns over federal actions that may limit state legislators' ability to develop AI policies and calls for coordinated efforts to address local market conditions.

Organizations are struggling to make data-driven decisions about AI security because the focus is often on the wrong issues, such as model-specific risks, rather than on access and identity management. To move from chaos to control, businesses need to understand how AI tools connect to their SaaS systems and establish governance frameworks that can adapt to the rapid changes in AI technology.

SailPoint, Inc. has launched SailPoint Shadow AI Remediation, a solution designed to help organizations monitor and secure the use of unauthorized AI tools, known as "Shadow AI." This innovative approach provides real-time visibility and proactive remediation to mitigate security and compliance risks associated with the rise of artificial intelligence usage in enterprises.

AI is now an integral part of enterprise collaboration platforms, putting pressure on leaders to deploy it at scale. However, the rapid pace of innovation is outstripping traditional governance models, making effective AI governance critical for CIOs.

This experiment demonstrates how a neural network can autonomously learn interpretable fraud detection rules from data, achieving a high level of accuracy without human intervention. Notably, the model rediscovered a critical feature, V14, previously identified by analysts, highlighting the potential of neuro-symbolic AI to bridge the gap between complex models and understandable logic.

DEKRA has become the first accredited certification body for AI Biometric Systems under the EU AI Act, enabling manufacturers to meet evolving regulatory requirements. This milestone positions DEKRA to support the compliance of high-risk AI technologies as the August 2026 deadline approaches.

The 2026 Responsible AI outlook for equities highlights key trends such as the risks associated with agentic AI adoption and the growing importance of regulatory compliance for investors. The report emphasizes the need for measurable AI impacts and the implications of expanding AI infrastructure on global markets.

The use of generative AI in game development is rapidly increasing, raising significant concerns regarding intellectual property, regulation, and reputation. As studios integrate these tools into their workflows, they must navigate the complexities of legal exposure and community perception to avoid potential pitfalls.

Gartner predicts that by 2028, at least 80% of governments will utilize AI agents to automate routine decision-making, leading to enhanced efficiency and service delivery. The transition to Decision Intelligence (DI) will prioritize transparency and accountability, ensuring that automated decisions are fair and trustworthy.

Research warns that artificial intelligence may replicate patterns of colonial exploitation by extracting data from Indigenous communities without proper oversight or compensation. The study proposes a governance framework to prevent this "AI extractivism" by advocating for Indigenous data justice and equitable benefit-sharing.

As organizations increasingly integrate AI into their operations, the need for robust governance frameworks has become crucial. Boards are now tasked with overseeing AI deployment, ensuring accountability, and managing associated risks to harness AI's benefits effectively.

The majority of Americans support increased regulation of artificial intelligence (AI), yet over 1,000 related bills have been introduced in the U.S. in the last three years. To help the public navigate this complex landscape, the Center for Technological Responsibility at Brown University has launched a portal that features a Bill Library and Bill Profiles for identifying trends and assessing proposals.

A new economic study highlights that existing regulatory frameworks are ill-suited for the rapidly evolving AI supply chain, where a few companies develop powerful foundation models that are adapted by many downstream firms. The research emphasizes how regulatory interventions can significantly impact competition, pricing, and ultimately consumer welfare in the AI industry.

A working group in Colorado has reached a consensus on new regulations for artificial intelligence, aiming to prevent discrimination by AI systems. The agreed framework will replace prior controversial rules and requires clearer disclosures from AI developers and deployers regarding their technologies and the decisions they make.