Category: Compliance and Oversight

Building Secure and Ethical AI in an Evolving Threat Landscape

Sam Peters, Chief Product Officer at ISMS.online, discusses the importance of building secure and ethical AI models in a rapidly evolving threat landscape, emphasizing that compliance must be the foundational element of AI initiatives. He outlines the risks associated with AI and stresses that organizations must adopt internationally recognized frameworks like ISO/IEC 42001 and ISO/IEC 27001 to effectively manage these risks and protect their AI systems.

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Securing AI Copilots: Mitigating Risks and Enhancing Compliance

AI Copilots, such as Microsoft’s, present significant security, privacy, and compliance risks if not properly secured, potentially leading to data breaches and regulatory violations. Real-world incidents have already highlighted these dangers, indicating the urgent need for organizations to adopt a multi-layered approach to AI security and governance.

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Integrating AI Governance into Company Policies

The post discusses the importance of structuring AI governance within organizations, highlighting a three-tier governance structure that includes an AI Safety Review Board and operational teams. It also offers practical strategies for implementing governance, such as leveraging existing frameworks and optimizing policy lengths to enhance compliance.

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Navigating the Ethics of AI: A Call for Responsibility

As artificial intelligence technologies increasingly influence our lives, the ethical responsibilities in their development and use become paramount. Responsible AI aims to balance technological advancement with ethical values to maximize benefits while minimizing risks.

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Bridging the Gap: AI Governance Lessons from Robodebt

Building an effective high-integrity AI Management System requires integrating AI governance into existing organizational oversight rather than creating separate silos. The Robodebt scheme in Australia exemplifies how robust governance on paper can lead to catastrophic failures when disconnected from broader oversight processes.

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