top of page




The Ethical and Technical Challenges of Smart LLMs
Introduction Large Language Models (LLMs) have entered a new era of sophistication — one that could be described as smart intelligence. These systems now go far beyond generating text: they reason across multiple layers, manage extended memory, and even decide which results to display and which to keep hidden. This evolution offers incredible potential for personalization, automation, and decision support. However, it also introduces deep ethical and technical challenges surr
Benjamin Vargas
10 nov3 Min. de lectura
Â
Â
Â
HumanFirstAI Manifesto
Redefining the Purpose of Artificial Intelligence Towards Human Empathy 1. Context — The Moral Gap We are witnessing an unprecedented acceleration of artificial intelligence. Autonomous systems already transport people, diagnose diseases, and make decisions once reserved for human judgment. Yet, what we call intelligence often lacks what truly defines humanity: empathy, moral discernment, and responsibility. This is the moral gap — the distance between what AI can do technica
Manuel Sáenz
5 oct3 Min. de lectura
Â
Â
Â


AI Development Lifecycle for Human-Centered Digital Transformation
In today’s rapidly evolving digital landscape, artificial intelligence (AI) is no longer a futuristic concept—it’s a transformative force reshaping industries, workflows, and human experiences. Yet, as organizations rush to adopt AI, many overlook a critical truth: AI is not just a technical endeavor—it’s a human one . At Bleansoft, we believe that successful AI adoption begins with empathy, clarity, and purpose. That’s why we’ve developed a human-centered AI Development Life
Manuel Sáenz
4 oct3 Min. de lectura
Â
Â
Â


🧠Ethics in AI-Powered Documentation: Designing for Human Understanding
In the race to automate, optimize, and accelerate, documentation is often treated as a technical necessity—something to be generated,...
Manuel Sáenz
3 oct2 Min. de lectura
Â
Â
Â
bottom of page