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News
July 16, 2026
Team Success: Aligning Means with Objectives
In corporations, sports, and academia, people often face challenges they cannot handle alone. In such cases, selecting the right team is crucial. Tatiana Mayskaya, Associate Professor at the HSE Faculty of Economic Sciences and the International College of Economics and Finance, together with colleagues from foreign universities, examined team characteristics and found that less diverse teams are better suited to objectives where a high average performance is important, whereas more diverse teams are preferable when avoiding failure is critical. The paper has been published in Economic Theory.
July 15, 2026
Economists Propose More Effective Approach to Reducing Smoking
Economists at HSE University have examined how smokers respond to changes in cigarette prices. When tobacco prices increase, cigarette consumption does not always decline. In fact, spending on tobacco may even rise: according to the researchers, a 1% decrease in cigarette affordability leads to a 0.28% increase in per capita tobacco expenditure. The findings suggest that to reduce smoking rates, tobacco prices must rise faster than household incomes. The study has been published in Voprosy Statistiki.
July 15, 2026
HSE MIEM Students to Develop Two Satellites from Scratch for Orbital Experiments
The devices, created by student teams, will conduct space research on the properties of promising solar cells, on-board energy storage systems, and serial electronics for student satellites.

 

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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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