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Europe’s technological lag on the development of Artificial Intelligence may provide an opportunity for a pause for reflection, or better yet, thought, to put the question of ethics on the table. The European Commission’s approach toward AI, as expressed by The White Paper on Artificial Intelligence, published on Feb. 19, 2020, focuses on human rights…

In the capitalist sphere, the prevailing purpose of social applications of artificial intelligence is profit. The advent of the Internet, initially fueled by libertarian utopias, soon translated into extraordinary commercial and financial power of a few monopolistic players, able to exert unprecedented control and influence over the population. In our daily interaction with the web…

It is clear from Xi Jinping’s strategic directions that China’s priority is to apply AI to the “real economy,” thereby increasing productivity in traditional economic sectors and especially in manufacturing. This strategy is intended to respond to several problems facing the Chinese economy in this historical period: slowing economic growth, a rapidly aging population, and…

China has used Artificial Intelligence to create what might be called a “Technological Panopticon.” Conceived by Bentham as a centrally planned prison capable of exerting centralized control over imprisoned people, the Panopticon is understood by Foucault as a metaphor for the mechanism of the apparatuses that administer power in society: states, armies, penitentiaries. In the…

US, China, EU present three different approaches to AI. In the United States, the saying, “USA Innovate, China Replicate, Europe Regulate,” is well known. In principle, this motto can be applied in the current geopolitical reality, with some clarifications: To comment on these macro-trends, let us provide some data: at his inauguration in January 2025,…

By looking beyond the limitations of generative and generalist AI, we can begin to identify the next trends. In a sense, it is about moving from words to deeds, designing and developing alternative solutions that are more specialized, reliable, and useful. The next AI agents will not just answer questions, but will evolve to manage…

Beyond the hype sparked by the mass deployment of generative AI after the rapid rise of ChatGPT, we need to reflect on how artificial intelligence is revolutionizing scientific research, with far more lasting effects on the future of humanity. Nobel laureates Demis Hassabis, John M. Jumper and David Baker have used AI to study proteins….

The original development model of Generative Artificial Intelligence, based on chatbot conversational interaction, began to show its limitations at the end of 2024, which did not allow technology companies such as OpenAI to implement the development of sustainable business models and thus find a place in the business world. The limitation of Generative AI also…

From another point of view, in an internal paper reported by Bloomberg, OpenAI defined a growing functional evolution of intelligent systems: Against this backdrop, the need for human intelligence to react and take action to manage such a far-reaching cognitive technology clearly emerges. The dominant debate actually focuses today mainly on the effects of AI…