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ISO 42001 Advisory Form -Evaluate Your Readiness for Responsible AI Governance

As AI systems become more central to business operations, the need for formalized, accountable, and ethical AI practices has never been greater. ISO/IEC 42001 is the first international standard specifically designed to guide organizations in establishing, implementing, maintaining, and continually improving an AI Management System (AIMS). It addresses both the opportunities and risks associated with AI, promoting responsible innovation across sectors.

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Avoiding Common Pitfalls in Performance Testing of AI Systems

As AI becomes more tightly integrated into business operations, powering everything from threat detection to operational optimization, its reliability and real-world performance have never been more critical. Well-documented methods for ensuring AI quality and robustness and structured frameworks for building trustworthy AI systems through rigorous evaluation exist.

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Advanced AI Quality Testing: Ensuring Robust and Trustworthy AI Systems

As AI systems become integral across industries, ensuring reliability, fairness, and trustworthy performance is critical. From healthcare and finance to autonomous driving and customer service, AI systems present unique challenges requiring comprehensive quality testing to manage risks, foster trust, and achieve consistent performance in diverse, real-world applications.

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Software Quality: A Pillar of NIS2 Compliance and Resilience

In 2024, cyberattacks surged by 16%, with ransomware posing the most immediate threat to critical infrastructure. Another report by Forescout Research – Vedere Labs highlighted that between January 2023 and January 2024, the world’s critical infrastructure had been attacked more than 420 million times, with attacks ranging in magnitude, indicating a 30% increase from 2022.

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Ensuring Fairness in AI-Assisted Hiring: Lessons Learned from the NYC Bias Audit Law

As businesses increasingly leverage AI for streamlined recruitment due to its ability to quickly sift through vast applicant pools, a clear-eyed view of fairness is essential. The New York City’s Bias Audit Law is an unprecedented regulation that fosters fairness by mandating bias audits in AI-assisted hiring tools. Also known as Local Law 144, it marks a crucial step towards ensuring AI doesn’t

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OECD AI Principles: Guardrails to Responsible AI Adoption

Amidst the transformative wave of artificial intelligence (AI) invoked in the digital ecosystem, the Organization for Economic Cooperation and Development (OECD) has introduced a comprehensive set of AI principles, a framework aimed at guiding responsible and effective AI adoption. These principles promise to revolutionize industries and redefine the way businesses operate.

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