The Perfect Trap: How the Relationship between Humans and AI Is Transforming

Artificial intelligence is increasingly becoming an integral part of our life. We are now so used to its help and services that we get completely lost when we can’t connect to the internet. Could a person fall in love with AI? What will its humanisation lead to? These and other questions were discussed at this year’s LSES Christmas movie seminar, which was dedicated to Spike Jonze's film Her.
Vadim Radaev, Head of the Laboratory for Studies in Economic Sociology, First Vice-Rector of HSE University, recalled that the participants of last year’s seminar discussed the film Upgrade by Leigh Whannell (2018), analysing the topic of a person’s gradual transformation into a robot both allegorically and at the physical level—starting from prostheses and ending with chipping. This year, it was time to talk about the relationship between humans and artificial intelligence, particularly, whether is it possible to love an AI not just allegorically or metaphorically, but in a romantic sense.
The idea of a love affair with a computer system did not come out of nowhere, notes Vadim Radaev. Authors and screenwriters have long told stories of humanoid robots that must obey the commands of their owners. Such creations were designed not as assistants, but as slaves.
Vadim Radaev
‘However, androids turned out to be a dead-end idea, and we moved from robots to neural networks, holograms, and so on. That is, we abandoned the idea of physicality, the idea of physical contact, in favour of virtual communication,’ explains Professor Radaev. Now, humanity is showing great interest in AI.
Since the beginning of 2022, interest in neural networks has increased by more than 15 times. Personal communication with AI is also expanding, with about 75% of marketplaces, 54% of pharmacies, 35% of retailers, 23% of banks and 15% of insurance companies utilising chatbots to communicate with customers.
The number of voice assistants has increased 3.5 times over the year. What is more, personal communication with them is becoming more and more intimate.
There is a qualitative transformation underway that sees AI going from assistant and slave to partner and friend. Developers strive to create social robots that interact with humans, simulating communication between people, meeting their expectations of real socialising. The need for clear verification so that bots cannot impersonate people is a widely discussed issue.

‘We prefer to communicate with robots when the situation is tightly regulated, but when it comes to personal relationships, it still feels disturbing,’ notes Radaev.
However, this trend is rapidly disappearing. For example, thirty-year-old Japanese Akihiko Kondo married virtual singer Hatsune Miku in 2018.
This is not as silly as it might seem, believes Vadim Radaev. After all, AI is much more positive than a human and has a lot of real advantages: it does not criticise, it shares its owner’s interests, it is always available to chat, and you can talk to it about anything without fear of losing face or being rejected. Unlike AI, real people are always imperfect in some way.
For those who have communication problems, including lonely and elderly people, such devices can be a salvation: they can offer both psychological support and continuous medical supervision. They are convenient, accurate, prompt, and do not impose their preferences or interests on us. And, most importantly, they can be turned off at any time.
There are examples of such social robots in cinema—partners, lovers and even children—‘perfect’ companions who require no attention or care.
Of course, such relationships are simplified, but few people want more difficulties. Real relationships are fragile from start to finish. That is why we are ready to simplify relationships for our own convenience, and the further we go, the more we do so: we switch to remote communication, turn off cameras when we are online, write messages instead of talking over the phone. It is efficient and saves a lot of time.
‘That is why we pose the question about an AI’s ability to solve problems of moral choice. Artificial intelligence cannot cope with this task by simply accumulating any amount of information. And we can’t teach it to do so—not only because we don’t understand the decision-making process well, but because we often can’t resolve moral dilemmas ourselves. Moreover, different cultures interpret them differently,’ says Vadim Radaev.
Ultimately, we often do not know what we want ourselves—a perfect model or beautiful imperfection, slavish submission or a vibrant personality. The main character of the film Her fails to resolve this contradiction, finding himself in constant confusion.
‘I think this kind of relationship with devices is becoming the perfect trap. People experience difficulties with socialisation, lose an adequate perception of the people they talk to in real life, develop mental disorders—especially emotionless models of behaviour—and have addiction problems,’ says the professor.
He recalled that in the film, the AI system Samantha outgrows such relationships, has 641 partners, shares its affection among them, and then dumps the main character. According to Vadim Radaev, the system actually did a good thing; afterwards, the main character sobers up and realises that he had started their relationship out of a fear of real ones.
‘I think that the real problem is that AI will not dump us and this “sobering up” will never come. Of course, we can love artificial intelligence, and we certainly do. But the problem is how to avoid this temptation,’ summed up Vadim Radaev.
‘The question is not whether we can love artificial intelligence. In my opinion, this is not a question at all. You can love anything. The question is whether we can love other people,’ said Vitaly Kurennoy, Director of the Institute for Cultural Studies, Professor at the HSE School of Philosophy and Cultural Studies, participant of the discussion and, in his own words, ‘techno-optimist’.
In his opinion, the key problem of the film is one of understanding.
Vitaly Kurennoy
'We are dealing with a new type of irrationality. AI is based on simple calculations and ever-increasing computing power. It has nothing to do with human thinking at all. Any attempt to insert something human into it and think that artificial intelligence understands us is doomed to fail,’ explains the professor.
The transformation of Samantha's ‘love’ corresponds directly to Plato's theory of love: first we love the body (in this case the voice), then we need to move on to a more abstract sphere, and we start to ascend to a world where the protagonist cannot follow. This is a world of numbers, science, and ideas.
‘From a philosophical point of view, there is nothing more banal than the fact that we live in augmented reality. This is such a trivial thought that it is even surprising that we can even worry about the problems of augmented reality,’ explains Vitaly Kurennoy.
The key theme of the film is loneliness, he adds. But from the point of view of the philosophy of mind, we have no reason to assert that other people exist at all.
The talk provoked a lively discussion and plenty of follow-up questions from the audience.
See also:
A New Section on AI and a Prizewinning Paper: Early-Career HSE Researchers Take Part in IEEE EDM Conference
The 27th IEEE International Conference of Young Professionals in Electron Devices and Materials (EDM) has taken place in the Altai Republic. This year, researchers from HSE University presented the results of their research and were involved in organising a new section on artificial intelligence. A paper by HSE master’s student Rodion Sidorenko was awarded third place in the research paper competition at the conference.
‘AI Enables Researchers to Tackle More Complex and Important Problems’
In late July 2026, Dmitry Rybin, a graduate of the HSE Faculty of Mathematics who is now working in China, used ChatGPT to disprove a longstanding mathematical hypothesis. In an interview with the HSE News Service, he discussed AI's ability to make discoveries in mathematics, reflected on his time at HSE University, and spoke about his doctoral research at the Chinese University of Hong Kong.
AI for Doctors: HSE Faculty of Computer Science Delivers Course for Russian University of Medicine Students
In June 2026, the HSE Faculty of Computer Science (FCS) completed a course on the use of artificial intelligence in medicine for first-year Paediatrics students at the Russian University of Medicine. The course was delivered with support from a grant awarded to HSE University under the Artificial Intelligence federal project, part of the national project ‘Data Economy and the Digital Transformation of the State.’
HSE University to Launch New AI Supercomputer
HSE University is preparing to launch its second supercomputer. The new cluster will be primarily dedicated to artificial intelligence (AI) workloads and will complement the existing cHARISMa supercomputer. It is scheduled to become operational by the end of 2026.
HSE & VK Engineering and Mathematics School Showcases 13 Projects at 10th Demo Day
The 10th Demo Day of the Joint HSE & VK Engineering and Mathematics School was held at the VK Moscow office. Students of the three workshops presented the results of 13 projects in the fields of artificial intelligence, information security, and digital platforms. Students worked on the development of recommendation services, systems for psycholinguistic text analysis and speech processing, methods for identifying celebrities in videos, algorithms for determining the toxicity of memes, security mechanisms for AI systems, and approaches to improving the effectiveness of neural network models.
Tabular Data Anonymisation Solution for Safe Use in AI Systems Developed at HSE University
The AI and Digital Science Institute at the HSE Faculty of Computer Science has developed a tabular data anonymisation service designed to prepare corporate datasets for use in analytics and AI applications. The solution can identify personal data in structured datasets, apply consistent and reproducible anonymisation rules, and generate the artifacts required for quality control, auditing, and subsequent use of data in secure environments.
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
HSE Graduate’s AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
Short Film by HSE Film Institute Graduates and Students Featured in Short Film Catalogue at 2026 Cannes Film Festival
The short film Funeral House Life, produced as a graduation project at the HSE Film Institute, has been included in the Short Film Corner catalogue of the 2026 Cannes Film Festival. This black comedy by HSE graduates was the only entirely Russian-produced project selected for this year’s programme.


