HSE University and Sber Researchers to Make AI More Empathetic
Researchers at the HSE AI Research Centre and Sber AI Lab have developed a special system that, using large language models, will make artificial intelligence (AI) more emotional when communicating with a person. Multi-agent models, which are gaining popularity, will be engaged in the synthesis of AI emotions. The article on this conducted research was published as part of the International Joint Conference on Artificial Intelligence (IJCAI) 2024.
The system is based on effective AI models of computer vision developed by the authors for recognising user facial expressions, which can be run directly on their devices. While using these models during a dialogue the emotions of the interlocutor are analysed in real time, including AI responses, which can help in building special datasets for training and improving the system for generating emotional responses to user requests.
One of the article authors, Associate Professor at the Department of Information Systems and Technologies at HSE University in Nizhny Novgorod
‘In our system, the recognised emotion is used to select a more empathic AI response, which is generated simultaneously by several language models tuned to basic emotions: joy, sadness, fear or anger. As a result, the received response contains a more detailed analysis of the recommendations issued by AI, their advantages and disadvantages in terms of the emotional reaction of users to them.’
The HSE University and Sber solution can be applied to situations when it is important to take into account the emotional state of users: in company chatbots, support services, educational applications and other areas where contact with the client is required. As a result, suggestions and recommendations of products and services will look more natural and empathetic. This will allow companies to better communicate with customers, give researchers a new tool for exploring emotions, and let users interact with AI more effectively. Today, AI models have already been applied in the development of GigaPevt, a medical diagnostic assistant based on the large GigaChat language model, to analyse the user's emotional state.
See also:
HSE’S Achievements in AI Presented at AIJ
The AI Journey international conference hosted a session led by Deputy Prime Minister Dmitry Chernyshenko highlighting the achievements of Russian research centres in artificial intelligence. Alexey Masyutin, Head of the HSE AI Research Centre, showcased the centre’s key developments.
Drivers of Progress and Sources of Revenue: The Role of Universities in Technology Transfer
In the modern world, the effective transfer of socio-economic and humanities-based knowledge to the real economy and public administration is essential. Universities play a decisive role in this process. They have the capability to unite diverse teams and, in partnership with the state and businesses, develop and enhance advanced technologies.
AI on Guard of Ecology: Students from Russia and Belarus Propose New Solutions to Environmental Problems
An international online hackathon dedicated to solving environmental problems was held at HSE University in Nizhny Novgorod. Students employed artificial intelligence and computer vision to develop innovative solutions for image segmentation, predictive modelling (forecasting future events based on data from the past) of emissions and creating chatbots for nature reserves and national parks.
Taming the Element: How AI Is Integrating into the Educational Process Around the World
Artificial intelligence is gradually becoming an indispensable part of higher education. Both students and teachers use it to reduce the volume of routine tasks and expand their capabilities. The limitations and prospects of AI are discussed in the report ‘The Beginning of the End or a New Era? The Effects of Generative Artificial Intelligence (GAI) in Higher Education,’ published in the journal Modern Education Analytics, under the scientific supervision of HSE Academic Supervisor Yaroslav Kuzminov.
A New Tool Designed to Assess AI Ethics in Medicine Developed at HSE University
A team of researchers at the HSE AI Research Centre has created an index to evaluate the ethical standards of artificial intelligence (AI) systems used in medicine. This tool is designed to minimise potential risks and promote safer development and implementation of AI technologies in medical practice.
HSE Researchers Develop Novel Approach to Evaluating AI Applications in Education
Researchers at HSE University have proposed a novel approach to assessing AI's competency in educational settings. The approach is grounded in psychometric principles and has been empirically tested using the GPT-4 model. This marks the first step in evaluating the true readiness of generative models to serve as assistants for teachers or students. The results have been published in arXiv.
‘Philosophy Is Thinking Outside the Box’
In October 2024, Louis Vervoort, Associate Professor at the School of Philosophy and Cultural Studies of the Faculty of Humanities presented his report ‘Gettier's Problem and Quine's Epistemic Holism: A Unified Account’ at the Formal Philosophy seminar, which covered one of the basic problems of contemporary epistemology. What are the limitations of physics as a science? What are the dangers of AI? How to survive the Russian cold? Louis Vervoort discussed these and many other questions in his interview with the HSE News Service.
HSE Scientists Propose AI-Driven Solutions for Medical Applications
Artificial intelligence will not replace medical professionals but can serve as an excellent assistant to them. Healthcare requires advanced technologies capable of rapidly analysing and monitoring patients' conditions. HSE scientists have integrated AI in preoperative planning and postoperative outcome evaluation for spinal surgery and developed an automated intelligent system to assess the biomechanics of the arms and legs.
Neural Network for Assessing English Language Proficiency Developed at HSE University
The AI Lingua Neural Network has been collaboratively developed by the HSE University’s AI Research Centre, School of Foreign Languages, and online campus. The model has been trained on thousands of expert assessments of both oral and written texts. The system evaluates an individual's ability to communicate in English verbally and in writing.
HSE University and Yandex to Host International AI Olympiad for Students
The HSE Faculty of Computer Science and Yandex Education are launching their first joint AI competition, Artificial Intelligence and Data Analysis Olympiad (AIDAO), for students from around the world. Participants will tackle challenging tasks in science and industry and interact with experts from HSE and Yandex. The winners will receive cash prizes.