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"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

Overview In developing an ethical AI, we should also define a plan and a methodology to use. Surely the first thing to do is to formulate the goals and the problem, that we have already started doing, but the way we will tackle the issue at hand is equally important. How is an AI tested to see whether it is ethical or not? Is there something to measure? Is there a method to know that we are making progress towards the right direction? Unfortunately, as the definition of what

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

New research has shown robots can encourage humans to take greater risks in a simulated gambling scenario than they would if there was nothing to influence their behaviors. Increasing our understanding of whether robots can affect risk-taking could have clear ethical, practical and policy implications, which this study set out to explore. ( source ) But why not gamble? There is nothing to lose. But the things you can lose. A robot knows that. It was created out of nothing. It

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

There is evidence that some form of conscious experience is present by birth, and perhaps even in late pregnancy, an international team of researchers has found. ( source ) Trying to find traces of consciousness. As if our own consciousness is something we can prove. Take a look around. Do you see other people? Do you see consciousness or lifeless robots? How can you know? A computer speaks as well as me. What is evident to me is unknown to thee. We are unable to prove our se

Humans pay enormous attention to lips during conversation, and robots have struggled badly to keep up. A new robot developed at Columbia Engineering learned realistic lip movements by watching its own reflection and studying human videos online. This allowed it to speak and sing with synchronized facial motion, without being explicitly programmed. Researchers believe this breakthrough could help robots finally cross the uncanny valley. ( source ) Look at me. So that you can s

Have you ever met someone you instantly liked, or at other times, someone who you knew immediately that you did not want to be friends with, although you did not know why? Now, a new study suggests that there may be a biological basis behind this instantaneous compatibility reaction. A team of researchers showed that variations of an enzyme found in a part of the brain that regulates mood and motivation seems to control which mice want to socially interact with other mice --

Paper by Vasiliki Papadopoulou As artificial intelligence (AI) enters the contemporary work space with all its promises and threats, the article examines, through the example of artistic work executed through AI systems, how the creator/ user of such systems is alienated from its work or even replaced by the providers of such systems, and how the creator’s work is mediated by a third party, the provider of AI systems. The results of such alienation and mediation can be demons

Artificial intelligence (AI) is becoming more common in many branches of industry and online retailing. Traditional lines of work, such as transport logistics and driving, are developing in a similar direction. Scientists have now investigated how efficient the use of AI is in the commercial management of trucks. Their answer: the best option is an intelligent combination of human decision-making and AI applications. ( 1 ) Come. Be my co-driver. And together we will travel th

Inspired by the mastery of artificial intelligence (AI) over games like Go and Super Mario, scientists have trained an AI agent - an autonomous computational program that observes and acts - how to conduct research experiments at superhuman levels by using the same approach. ( 1 ) There you go. Soon - even by the time you read this (because the news are a bit old) - computers will be conducting experiments like humans. And we will cry out in triumph. Without understanding tha

The use of AI in the field of psychology is expanding every day. In organizations AI systems are used to augment HR functions, control bias (interestingly enough), manage performance, support decisions on hiring etc. (https://psycnet.apa.org/fulltext/2026-91752-001.pdf) Even though the goals and the intent might be good, one thing we should always have in mind: The psychologist should always strive to do good rather than harm. And if this is difficult to follow when are a hum

What can AI do for us? That is the short question we keep on asking lately. What can AI do for us? How can it help us? How can it augment our processes, increase our effectiveness? How can it increase our revenues? So much potential, so many possibilities. We are lost in a forest of infinite capabilities we are just now learning they could exist. And being so much overwhelmed, distracts us from the main question we should be asking. What can I do? What can we do for AI? How c

2050 with Humans - What humans do not do is what defines them   PhD Spyridon Kakos 1   August 23, 2025. Athens, Greece   Opinion article...

A new type of neural network made with memristors can dramatically improve the efficiency of teaching machines to think like humans. The...

Speech recognition software isn't perfect, but it is a little closer to human this week, as a Microsoft Artificial Intelligence and...

In May 1997, an IBM supercomputer known as Deep Blue beat then chess world champion Garry Kasparov, who had once bragged he would never...