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News
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.

 

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Artificial Consciousness, Superintelligence and Ethics in Robotics: How to Get There?

Mind and Matter. 2021. Vol. 19. No. 1. P. 7–43.
Vervoort L., Melnikov A., Chauhan M., Nikolaev V.

Can future robots and artificial-intelligence (AI) systems have consciousness and genuinely human intelligence – or even superhuman intelligence? Is it possible for them to behave ethically? Here we look at these questions from the point of view of philosophy and AI, and argue that these questions are related: their answer hinges on the fulfillment of the same condition. Starting from an analysis of the concept of consciousness, we argue that the key capacity that computers and robots should possess in order to emulate human cognition and (ethical) consciousness is the capacity to learn and apply “coherent webs-of-theories”. We conjecture that where classic AI has been, in essence, “data-driven”, the greatest leap forward would be “theory-driven” AI. We review prominent work in deep learning and cognitive neuroscience to back up this claim.

Research target: Philosophy, Ethics, and Religious Studies Computer Science Physics
Language: English
Text on another site
Keywords: philosophy of scienceArtificial Intelligence (incl. Robotics)AI Ethicstrends in the use of artificial intelligence
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