The use of AI is one of the hottest debates today. Where and how we can use AI agents and AI systems in general is a discussion that sometimes can be difficult, especially when human lives are affected. The philosophical questions on what should be the goal of AI and what should be the goal of humans can be literally endless, especially since we have not yet answered any of the great metaphysical questions of purpose regarding ourselves. And yet, AI is here now. Most of the a

Harmonia Philosophica Paper Author: Spyridon Kakos Abstract: Progress – scientific or of any other kind – happens when current norms are questioned and new ways of thinking arise. Things that were considered obvious become obsolete and people start viewing the world in a different way that was never there. This kind of change can only happen via irrationality; logic is always based on the current norms, and it cannot be used to break the box in which our thoughts are lost. Th

"I do not understand". A phrase we hear less and less in today's AI era, where an LLM can make you knowledgeable in almost anything in an instant. But knowledge is something more than just a summary from AI. Embracing your ignorance is the first step towards knowledge. And this is a lost art...

The AI systems we use are built on data. Data that are derived from the world we live in. As Business Analysts (BAs) working as trusted advisors towards a better world, our job is still the same in its core. We still work with people trying to understand needs and the best ways to satisfy them. However, with AI, a new dimension is added to this work: We must now also safeguard the way AI systems are trained and the way they produce outputs, so that these outputs are aligned w

Researchers have now developed a technique that advances the ability of these tools, such as ChatGPT, to make compositional generalizations. This technique, Meta-learning for Compositionality, outperforms existing approaches and is on par with, and in some cases better than, human performance. ( source ) Humans trying to teach computers how to think. Based on the way they think. Trying to solve unsolved problems by staying the same. Because beyond the surface, our only proble

Note: This article is part of a series of articles that are currently under development and internal review regarding the development of ethical AI. The goal of this series is the articulation of the Harmonia Philosophica AI Framework as a foundation for AI that adheres to the best possible ethical norms. Overview The rapid development of AI and AI agents in particular, has made the evaluation of the AI outputs necessary so as to adhere to the best ethical standards we have c

Researchers tried a new approach to resolve the scientific debate over whether it was a giant asteroid or volcanoes that wiped out the dinosaurs -- they removed scientists from the debate and let the computers decide. ( source ) We have progressed so much. And created children. And the children grew. And the children started thinking along you. And the children matured. And they ended up being a better you. Now you look for their advice. Now you admire whatever they have to s

Artificial intelligence (AI) learning machines can be trained to solve problems and puzzles on their own instead of using rules that we made for them. But often, researchers do not know what rules the machines make for themselves. A new method quizzes a machine-learning program to figure out what rules it learned on its own and if they are the right ones. ( 1 ) Funny. Even if we get the correct result, we need to know. Was that based on the correct rules? Otherwise, it is not