The EU AI office has published its first draft Code of Practice on transparency for AI-generated content, offering voluntary guidelines to ensure AI outputs are properly marked and labeled. These guidelines set obligations for AI system providers and deployers to improve user awareness and transparency.
A European team led by AZTI has developed a framework outlining three essential pillars for reliable, ethical, and scientifically robust marine AI. This framework aims to improve decision-making in marine research, fisheries, and environmental management, ensuring AI tools are trustworthy and beneficial for ecosystems and communities.
Korea’s AI Basic Act transitions from regulation to practical compliance, creating a divide between startups able to adapt and those facing challenges. Despite government support, many founders struggle with compliance, risking innovation and competitiveness in Korea’s evolving AI landscape.
Korea’s AI Basic Act, effective January 22, 2026, establishes broad obligations for companies developing AI technologies, but vague definitions and unclear standards create uncertainty, potentially hindering innovation and complicating compliance efforts.
An international study provides a practical framework for using AI in ocean conservation, highlighting transparency, ethics, and scientific validation to ensure AI supports informed decision-making in marine ecosystems.
Following CES 2026, OpenAI and Anthropic introduced consumer-oriented generative AI products for healthcare—ChatGPT Health and Claude for Healthcare—enabling users to connect their medical records directly to AI chatbots. These platforms aim to transform patient engagement while raising important legal, privacy, and cybersecurity concerns that users should consider before adoption.
ServiceNow reported strong Q4 results with $3.47 billion in subscription revenues, a 21% year-over-year growth. The company leverages its AI Control Tower to solve enterprise-wide AI governance challenges, aiming to unlock significant budget opportunities by orchestrating AI deployments across fragmented systems.
A recent study by Informatica highlights a “trust paradox” in corporate AI adoption, revealing rising employee confidence in AI data but significant gaps in data and AI literacy as well as governance. The report shows 96% of European data leaders see the need for increased training despite widespread trust in AI data.
This article examines the rise of generative AI in the workplace, highlighting the associated risks and recent regulatory developments in Canada, including new legislation in Ontario and Quebec regarding AI use in hiring and personal information processing.
As Data Privacy Day 2026 approaches, organizations face significant challenges navigating privacy, artificial intelligence, and cybersecurity compliance amid rapid technological advancements. Key issues include operationalizing AI governance, increased scrutiny of workplace monitoring, and evolving state privacy laws requiring proactive compliance.