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Introduction: A Community Contribution in the Era of AI Accountability
As organizations increasingly embed AI into critical workflows and products, a new challenge emerges: how do we know that these systems are actually doing what we intend—and doing it well?

As high-risk AI systems face increased regulatory scrutiny, the EU AI Act mandates the preparation of technical documentation (Article 11) prior to deployment. This documentation plays a central role in demonstrating that the system meets essential requirements

As high-risk AI systems face increased regulatory scrutiny, the EU AI Act mandates the preparation of technical documentation (Article 11) prior to deployment. This documentation plays a central role in demonstrating that the system meets essential requirements

As high-risk AI systems face increased regulatory scrutiny, the EU AI Act mandates the preparation of technical documentation (Article 11) prior to deployment. This documentation plays a central role in demonstrating that the system meets essential requirements

This free self-assessment tool helps you determine whether your AI application falls into a low, medium, or high-risk category — as defined by the EU AI Act — through a quick series of targeted, easy-to-answer questions.

In this episode of 2045.gr’s podcast hosted by Fanouris Drakakis , two seasoned experts—Yiannis Kanellopoulos, CEO & Founder of code4thought, and George Marinos, Digital Transformation Director at the National Bank of Greece—discuss the strategic value of software quality control in the digital age.

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.

We’re thrilled to announce a strategic partnership between code4thought and the University of Patras, one of Greece’s leading academic institutions renowned for its cutting-edge research and innovation. Through a newly signed Memorandum of Understanding (MoU), this collaboration is set to bridge the gap between academia and industry, driving long-term value for both parties.

Fairness, Accountability &Transparency (F.Acc.T) under GDPR 09/11/2020 9 MIN READ  / AuthorAndreas Messalas Machine Learning Engineer Medium Why the need for Regulation? Algorithmic decisions are already crucially affecting our lives. The last few year, news like the ones listed below are becoming more and more common: “There’s software used across the country to predict future

Is Twitter biased against BIPOC? Maybe it’s not what you think it is. 04/11/2020 7 MIN READ  / AuthorAndreas Messalas Machine Learning Engineer Medium The controversy Twitter was in the headlines recently for apparent racial bias in the photo preview of some tweets. More specifically, Twitter’s machine learning algorithm that selects which part of an