Why Heideggerian AI Failed and How Fixing It Would Require Making it More Heideggerian - by Hubert L. Dreyfus, Philosophical Psychology 20 (2):247 – 268 (2007) - Part 3
Translation in Greek by Alkis Gounaris
US: Reading Between the Lines of the New AI Regulatory Framework
What does the new US regulatory framework for artificial intelligence provide for, and why is it creating tensions between the Pentagon and AI companies? What does the Donald Trump administration propose regarding the protection of children, creative production, and businesses? Reading between the lines of official statements, against the backdrop of US military operations in Iran. [ATHENS VOICE, 2026]
Artificial Intelligence in 2025: The year agents dominated the workplace—and ten additional trends that will redefine the game
2025 was the year we stopped asking «what’s going on with artificial intelligence?» and started learning how to live with it. This is a look back at a pivotal year, one in which AI captured the spotlight across politics, education, and industry, and, above all, made its first, still experimental, move into the workplace. [ATHENS VOICE, 2025]
Intentionality and the Emergence of Meaning
Philosophia - Annual Journal of the Research Centre for Greek Philosophy of the Academy of Athens, v.41, pp 319-321, 2011. ISSN 1105-2120
In my thesis I attempt, on one hand, to classify certain basic problems of the philosophy of mind (as intentionality, the mind - body problem, qualia and the subjective experience of the world), while on the other hand, I am trying to formulate a hypothesis for the naturalistic foundation of human mind and intelligence.
Was There Artificial Intelligence in Greece 60 Years Ago?
Professor Yannis Kontos, a pioneer in Artificial Intelligence research in Greece, talks to Alkis Gounaris for ATHENS VOICE about the historical development of AI, its research challenges, and its future. [ATHENS VOICE, 2026]
Writing the Algorithm of the Good: Artificial Intelligence as a Justice-Rendering Machine
One of the most intriguing and challenging issues in AI Ethics that we will soon be called upon to address concerns the design, development and use of computational systems for regulatory purposes—specifically, AI systems that will engage in decision-making of moral or legal nature, playing a decisive role in the administration of Justice. [ETHICS, 2024]
What is it like to be a machine?
The question "What is it like to be a machine?" refers to the subjective experience of a cognitive agent, that happens to be a thinking machine, consisting of microchips, transistors, cables, sensors etc. At first we may assume that the subjective experience of being a machine will be different from the subjective experience of being human, therefore a human cannot "experience" the world as a machine, neither a machine can "experience" the world as a human.
Towards Moral Machines: A Discussion with Michael Anderson and Susan Leigh Anderson
At the turn of the 21st century, Susan Leigh Anderson and Michael Anderson conceived and introduced the Machine Ethics research program, that aimed to highlight the requirements under which autonomous artificial intelligence systems could demonstrate ethical behavior guided by moral values, and at the same time to show that these values, as well as ethics in general, can be representable and computable. Our discussion with the two inspirers and originators of Machine Ethics highlights the epistemological, metaphysical and ethical questions arising by this project, as well as the realistic and pragmatic demands that dominate artificial intelligence and robotics research programs. [CONATUS, 2021]
What is the role of artificial intelligence in military operations in Iran?
What new dilemmas are arising from the use of AI in the war in Iran? Why does the possibility that computational speed might be inversely related to human responsibility and practical wisdom introduce a new crucial factor for evaluating hybrid decision-making systems? [ATHENS VOICE, 2026]
How will Artificial Intelligence combat diseases and change everything we know about healthcare?
Artificial Intelligence is transforming Healthcare, from significant shifts in medical practice to a revolution in the design and manufacture of new medicines. However, while we are moving closer to a world where diseases are treated with greater precision, speed, and effectiveness than ever before, new and urgent ethical and social dilemmas are emerging. [ATHENS VOICE, 2025]
| Athens, Greece | London, UK | |
| ORCID | |
| Google Scholar | |
| ResearchGate |


