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]

Life in the second half of the chessboard is expected to be exciting and scary at the same time. New challenges and opportunities will soon give prominence to new masters of the game, new services, new products, new lifestyles –and we will all adapt and embrace these developments, making them an integral part of our daily lives, just about as we did in the past with cars, mobile phones and the internet.

Presentation for the 6th Panhellenic Conference in Philosophy of Science | Department of History and Philosophy of Science, NKUA, Athens, Greece, 03-05 December 2020 |DOI: 10.13140/RG.2.2.13671.47520

Distinguishing between a quasi moral agent and a literally moral agent, I will attempt to describe those conditions beyond autonomy and behavior that must be met, in order to attribute the traits of a moral agent to an artificial intelligence system. Such a system, in addition to duties, could potentially have rights, obligations and responsibilities, coexisting with other intelligent beings or systems in a possibly revised form of social fabric. [NKUA, 2020]

The debate over the attribution of personhood to non-human entities is of an increasing concern to both academia and institutions. The intelligence, autonomy and efficiency exhibited by modern AI systems, raise pressing questions regarding the moral responsibility issues their use entails. In our paper we focus our discussion on autonomous war machines, as their actions, design, production and use cause philosophical controversies. [PERSONHOOD, 2020]

According to Sartre, people experience a constant state of existential anxiety, because being "condemned" to freely define our own purpose, at every moment of our lives we must make choices that ultimately determine who we are.

Lecture by Dr. Alkis Gounaris as part of the educational program titled: "Artificial Intelligence & Philosophy: From Human Thought to Machine Learning", organised on Wednesday, February 12, 2025, by the National Documentation and Digital Content Center (EKT), a member of the European Digital Innovation Hub Smart Attica EDIH.

This essay summarizes the main points of Wittgenstein’s lecture on ethics and examines whether and how the lecture reflects the Tractatus. It also investigates and analyzes the possible logical errors that has been accused for, especially the notion of judgments of absolute value. Finally, is presenting the argument between two modern Greek analysts of the text.

The shift into the AI age presents both significant risks and genuine opportunities. Which roles are most vulnerable to being lost, and which are likely to survive? How can Keynes help us maintain our composure and adopt a clear-sighted perspective on the evidence? To what extent is technophobia justified when confronted with a departure from the past? And, above all, what are the ethical and social implications of this transformation?  [ATHENS VOICE, 2025]

On July 23, 2025, when the White House released its Action Plan for Artificial Intelligence (AI), aimed at enabling its rapid and unhindered development free from legislative constraints, many wondered whether this marked yet another dangerous step for the future of AI or a political initiative capable of «making America great again.» The concise, twenty-three-page plan proposes, among other things, the formulation of policies that would favour rather than inhibit the advancement of AI, reversing the overregulatory stance of the Biden administration by removing what it characterises as «unnecessary» regulatory and bureaucratic obstacles.  [ATHENS VOICE, 2025]