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Why It Is Important to Differentiate Between AI Models and AI Systems

As artificial intelligence (AI) continues to integrate into various sectors, it has become increasingly important to understand the technologies that underpin these systems. However, a common error is to confuse AI models with AI systems. While these terms are often used interchangeably, they refer to distinct components within the broader AI ecosystem. Understanding the difference…

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Exploring Federated Learning: Decentralized AI and the EU AI Act

As artificial intelligence (AI) continues to advance, the way we train AI models is evolving to address growing concerns about data privacy, security, and efficiency. Traditional AI training methods often require vast amounts of centralized data, which can be challenging to gather and manage, especially when dealing with sensitive information. Enter federated learning, a decentralized…

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Understanding the AI Lifecycle: From Development to Deployment under the EU AI Act

Artificial Intelligence (AI) has rapidly evolved from a niche area of computer science to a foundational technology that drives innovation across multiple industries. As AI systems become more complex and their applications more widespread, there is a growing need for robust governance frameworks to ensure that these systems are developed and deployed responsibly. The European…

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Explaining AI Bias: How Does It Occur and How Does the EU AI Act Address It?

Artificial Intelligence (AI) has become an integral part of our daily lives, influencing decisions in areas such as finance, healthcare, hiring, and law enforcement. However, as AI systems become more prevalent, concerns about bias in these systems have grown. AI bias occurs when an algorithm produces systematically unfair results, often disadvantaging certain groups of people.…

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Explaining AI Governance: From Theory to Practice Under the EU AI Act

Artificial Intelligence (AI) is rapidly transforming various sectors of society, from healthcare and finance to transportation and public services. As AI systems become more integrated into our daily lives, the need for robust governance frameworks to ensure that these technologies are safe, ethical, and aligned with societal values has become increasingly clear. AI governance refers…

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What Is Explainable AI? Understanding Its Role in the EU AI Act

Artificial Intelligence (AI) is increasingly becoming a part of our daily lives, powering everything from recommendation systems on streaming platforms to complex decision-making in healthcare and finance. However, as AI systems become more integrated into critical aspects of society, the need for transparency and trust in these systems has never been greater. Explainable AI (XAI)…

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Deep Learning vs. Traditional AI: How the EU AI Act Regulates Them

IntroductionArtificial intelligence (AI) encompasses a wide range of technologies, from traditional rule-based systems to advanced deep learning models. As AI continues to evolve, so do the regulatory challenges associated with its development and deployment. The European Union's Artificial Intelligence Act (EU AI Act) is a landmark piece of legislation that seeks to establish a comprehensive…

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Understanding Machine Learning Algorithms: What the EU AI Act Requires

IntroductionMachine learning algorithms are at the heart of modern artificial intelligence (AI) systems, driving advancements across various industries. These algorithms enable systems to learn from data, make predictions, and improve over time without explicit programming. However, as the use of AI becomes more widespread, there is growing concern about the ethical and legal implications of…

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Understanding Open-Source vs. Open-Weights in AI: What Business Professionals Need to Know

In the rapidly evolving world of artificial intelligence (AI), transparency and accessibility have become crucial considerations for businesses looking to leverage these technologies for competitive advantage. As AI continues to reshape industries, understanding the different approaches to AI model accessibility—specifically "open-source" and "open-weights"—is essential for business professionals aiming to make informed decisions. This blog post…

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Conducting AI Audits: Compliance with the EU AI Act

IntroductionIn today's rapidly evolving technological landscape, artificial intelligence (AI) has become an integral part of various industries, from healthcare to finance to public safety. However, with the increasing reliance on AI comes the need for robust oversight to ensure these systems are fair, transparent, and compliant with regulations. The European Union's Artificial Intelligence Act (EU…

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Documenting AI Systems: Compliance Under the EU AI Act

IntroductionIn the rapidly advancing field of artificial intelligence (AI), the importance of proper documentation cannot be overstated. Documenting AI systems is not only a best practice but also a legal requirement under the European Union's Artificial Intelligence Act (EU AI Act). This legislation, aimed at regulating AI technologies, places a strong emphasis on transparency, accountability,…

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