code4thought

Trustworthy AI

As AI technologies become more embedded in high-stakes domains like healthcare, finance, and HR, the conversation around quality and ethics is no longer a theoretical one. Yiannis shares real-world insights from his experience leading independent audits and testing of AI systems across sectors, highlighting what trustworthiness looks like in practice—and why it’s business-critical.

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The Quality Imperative: Why Leading Organizations Proactively Evaluate Software and AI Systems with Yiannis Kanellopoulos, hosted by George Anadiotis

In an increasingly AI-driven world, quality is no longer just a technical metric—it’s a strategic imperative. In this episode of George Anadiotis’ podcast series, our CEO Yiannis Kanellopoulos dives into how leading organizations are reshaping their approach to software and AI systems by treating trustworthiness, governance, and performance as first-class priorities.

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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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