AI

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.

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.

We are proud to announce that our CEO, Yiannis Kanellopoulos, will be representing code4thought at two prominent international events this April, sharing his expertise on Responsible AI and Secure, Robust 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.

Quest Global has partnered with code4thought to conduct an independent Bias Testing Audit of an Automated Employment Decision Tool (AEDT) under New York City’s Bias Law (Local Law 144) using code4thought’s NYC AI Bias Audit service.

Generative AI (GenAI) is revolutionizing industries ranging from content generation and software engineering to healthcare and finance. Unlike traditional AI systems, GenAI models generate dynamic outputs, introducing significant challenges in testing and validation.

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.

As AI transforms industries and reshapes business landscapes, organizations face a dual challenge: harnessing its immense potential while ensuring responsible and ethical deployment. At code4thought, we understand that achieving this balance requires not only adherence to global standards but also the practical tools to implement them effectively.

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

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.