In this article: The document discusses the increased responsibility on organizations to ensure data security, particularly in the context of AI applications. It highlights the growing use of AI, which relies on accurate and relevant data, often sensitive or mission-critical data. While AI can provide a competitive edge, the sensitive nature of this data requires […]
AI Risk
In this article: Opportunities vs. Risks: Generative AI presents immense opportunities but also significant risks, causing many enterprises to halt initiatives or impose restrictive “no gen AI” policies. Challenges of Overreaction: Blocking gen AI tools entirely is ineffective as employees bypass restrictions through personal devices, creating a “BYO LLM” (bring your own large language model) […]
In this article: Lawsuit Filed: Five Canadian media companies—Torstar, Postmedia, The Globe and Mail, The Canadian Press, and CBC/Radio-Canada—filed a lawsuit against OpenAI on November 17, 2024, accusing the company of copyright infringement and unauthorized use of their content. Core Allegations: The companies allege that OpenAI scraped their journalism content to train its generative AI […]
In this article: Introduction of the CRA: Published on November 20, 2024, the EU Cyber Resilience Act (CRA) is the first harmonizing regulation to safeguard consumers and businesses against cybersecurity threats, forming a central pillar of the EU’s Cybersecurity Strategy for the Digital Decade. Scope and Coverage: The CRA applies to all economic operators involved […]
In this article: The EU’s AI Act, published in July 2024, marks the end of a four-year legislative process, introducing the world’s first binding AI regulation, with similar legislation emerging in at least eight other countries. These laws follow a “risk-based” approach, imposing tiered obligations on developers and deployers based on perceived threats to the […]
In this article: The AI Model Risk Management market is valued at USD 5.7 billion in 2024 and is projected to grow to USD 19 billion by 2034, with a CAGR of 12.8% (2025-2034). It encompasses tools, services, and frameworks for identifying, assessing, and mitigating risks associated with AI models. The market ensures regulatory compliance […]
In this article: Human error accounts for 75–90% of cybersecurity breaches, highlighting the importance of addressing unintentional and malicious mistakes. Supply chain attacks are increasing, requiring a layered approach to identify and protect sensitive data effectively. AI plays a dual role in cybersecurity, with hackers leveraging it for sophisticated attacks and organisations using it to […]
In this article: The document discusses the importance of interacting with AI systems to understand their capabilities and potential risks. It describes the concept of “red teaming”, where people or AI are used to explore a new system’s potential risks in a structured way. OpenAI has been using red teaming for several years, starting with […]
In this article: Author(s) Bilva Chandra, Jesse Dunietz, Kathleen Roberts Abstract This report examines the existing standards, tools, methods, and practices, as well as the potential development of further science-backed standards and techniques, for: authenticating content and tracking its provenance; labeling synthetic content, such as using watermarking; detecting synthetic content; preventing generative AI (GAI) from producing child […]
In this article: Comprehensive AI Agenda: Trump’s second term should focus on a holistic AI strategy, including deregulation, domestic energy production, and infrastructure reform, to maintain U.S. AI leadership. Repealing Biden’s AI Order: Biden’s 100-page AI executive order, criticized for its burdensome regulatory framework, should be repealed. Trump’s administration aims to avoid bureaucratic hurdles and […]
