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code4thought × TÜV NORD Hellas code4thought and TÜV NORD Hellas today announce their collaboration in support of ISO/IEC 42001 certification audits. As organizations adopt Artificial Intelligence Management Systems, effective assessments require both strong auditing and certification expertise and a thorough understanding of how AI systems are developed, tested, and managed throughout their lifecycle. Through this collaboration, TÜV NORD Hellas contributes its extensive certification and auditing experience, while code4thought brings specialized expertise in AI Testing and AI Assurance. Together, we support a comprehensive assessment approach that combines governance requirements with technical assurance. The collaboration is already underway through ongoing ISO/IEC 42001 certification projects in Greece and international markets. We look forward to enabling organizations to strengthen responsible AI governance and build trust in their AI systems. #code4thought #ISO42001 #AIAssurance #AITesting #AIGovernance #TrustworthyAI #ResponsibleAI

What happens when software teams can generate code faster than they can understand, review or govern it? That is the delivery paradox emerging with AI-assisted software engineering. The challenge is no longer only about speed. It is about whether organizations can still explain what has been generated, secure it, maintain it, evolve it and stand behind it over time. In our new crowdsourced white paper, AI-Assisted Software Engineering: The New Delivery Paradox, we explore five questions technology leaders should be asking now: • What becomes the primary artifact when AI generates the code? • Can organizations absorb the abundance of AI-generated features? • How do we ensure trust at machine speed? • What separates success from chaos? • What happens to the software engineer? To explore these questions, we brought together perspectives from security, product engineering, academic research, regulated industry and code4thought’s own work in software quality and trustworthy AI. A warm thank you to our contributors — Ejona Preci, George Marinos, John Fox, Markus Borg and Meri Roboci — for sharing their perspectives and helping frame a conversation that is only just beginning. These questions also shaped our next step at code4thought: Orisign, our new AI Software Delivery Governance platform, and a dedicated advisory service for helping organizations move from AI coding experiments to governed, evidence-based software engineering. Read the full paper here: https://lnkd.in/dvAciUWs #code4thought #trustworthyai #ResponsibleAI #AIQuality #softwaredevelopment #crowdsource #whitepaper #aicoding

Is your AI-assisted development actually creating value, or just adding risk? 🔴Orisign makes things clear! As AI coding tools move from isolated experiments to enterprise scale, technology leaders face a critical gap: they need reliable evidence that delivery flow is improving without compromising security, maintainability, or control. Meet Orisign, the proprietary AI Software Delivery Governance Platform by code4thought. Orisign transforms software delivery lifecycle signals into management-ready indicators to help you govern AI adoption across four core dimensions: Adoption, Productivity & Effectiveness, Engineering Quality, Risk & Exposure . Our platform is governance-led, not productivity-surveillance-led. We focus on team-level patterns and delivery contexts—never individual developer monitoring. It is designed specifically to help organizations bridge the gap between today's AI-assisted coding and tomorrow's autonomous, agentic engineering models. Stop guessing about the impact of your AI tooling. Discover how Orisign provides the evidence layer you need to scale responsibly, maintain quality, and empower your teams. Request a free demo today🔗https://lnkd.in/daRb8PX3 #code4thought #orisign #aicoding #softwarequality #artificialintelligence #aiquality #security

Most teams think RAG performance is a model problem. 💭 In reality, it’s a knowledge + evaluation problem. Retrieval-Augmented Generation (RAG) doesn’t just depend on embeddings or LLMs. It depends on how your knowledge base is structured, connected, and continuously tested. And this is exactly why AI testing & auditing for GenAI systems is critical, not optional. Because what looks like a “model issue” is often: – Poor knowledge coverage (missing edge cases) – Redundant or duplicated data (biasing retrieval) – Lack of evaluation on how knowledge is actually retrieved and used ❌ Without proper testing & auditing frameworks, these problems stay hidden: You don’t know what your system doesn’t know, nor detect retrieval bias or hallucination risks. In other words, you lack traceability, making governance & compliance nearly impossible If you’re not auditing your RAG pipeline, you’re not really validating your GenAI system. In our latest blog post by Petros Stavroulakis, we break down: • Why traditional methods (like embedding similarity) fall short in real evaluation • How GraphRAG shifts the focus from text similarity to actual knowledge contribution • And why robust evaluation layers are the foundation of reliable, auditable GenAI systems If you're building or optimizing a RAG system, this might change how you think about your entire pipeline — from knowledge design to testing, auditing, and governance. Read the full post 👉 https://bit.ly/4t9pQma #code4thought #RAG #ArtificialIntelligence #AIRegulation #ResponsibleAI #AIGovernance #AIStandards

code4thought Confirms AI Fairness Compliance for Quest Global via iQ4AI✅ We’ve successfully completed the 2026 audit under NYC Bias Law (Local Law 144) for Quest Global’s applicant scoring AI system. Powered by our iQ4AI platform, the process streamlined complex fairness calculations and enabled in-depth analysis at scale. The results confirm continued compliance with rigorous fairness standards, along with a measurable trend toward parity across key demographic groups. By leveraging iQ4AI, we delivered a precise, multi-layered evaluation that goes beyond standard reporting, providing actionable insight and greater confidence in responsible AI deployment. Learn more 🌐 https://lnkd.in/dAu-JRqY #code4thought #nycbiaslaw #iq4ai #compliance #aifairness #trustworthyai #aiaudit

AI is reshaping software engineering at structural speed 🌐 Instead of publishing another opinion piece, we’re launching a crowdsourced white paper on the real impact of AI-assisted software development and we’re inviting senior technology leaders to contribute. If you’re a CTO, Chief Architect, or Head of Engineering navigating AI in production, your perspective matters. Contributors will: • Join a 30-minute recorded conversation • Review and approve attributed quotes • Be credited in the publication Interviews are taking place over the next few weeks. If you’re shaping engineering strategy in the age of AI, we’d value your voice! 👉 https://lnkd.in/dhAZ5Z5m #code4thought #trustworthyai #ResponsibleAI #AIQuality #softwaredevelopment #crowdsource #whitepaper #aicoding