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News
September 15, 2026
Immunity to Chaos: How Personal Resources Help Us Cope with the Challenges of a Turbulent World
International conflicts, crises and digital overload—the modern world puts our minds to the test every day. Traditional psychology often focuses on the consequences: anxiety, depression, and psychosomatic disorders. But what if we looked at the problem differently—through the lens of the resources that prevent us from breaking down? Psychological immunity is precisely this set of resources. Alena Zolotareva and her group, Psychological Immunity as a Resource for Positive Functioning, are developing an integrative model of this phenomenon, adapting diagnostic tools and preparing for large-scale empirical research. Why do psychologists need to collaborate with medical professionals, and how could their research transform preventive care in clinics and corporations?
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.

 

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Bias Perceptions of Generative AI: A Comparison of Public Sentiment on Twitter and Workplace Perspectives

Innovations. 2025. Vol. 80. No. 1. P. 281–304.
Uhunoma E., Maryann Asemota

Generative Artificial Intelligence (Gen AI) is one of the most
significant technological inventions in the last decade.It enhances content generation
across various domains, from personal messages to work-related tasks, encompassing
text, images, and videos. However, there have also been several debates surrounding
its inadvertent risks for bias and perpetuating stereotypes (Ferrara, 2023; Xavier 2024)
both from gender and racial perspectives (Nicoletti & Bass, 2023; Zhou, 2024;
Sadeghiani, 2024).Today, Gen AI is also being used in the workplace, with many
organisations adopting custom-built Gen AI tools as part of their working tools and
systems. Consequently, the objective of this research was tofind out if employees
perceive work-related outputs of Gen AI to be biased against women, people of colour
or neurodiverse people, and how this perception compares to that of the public, who
use Gen AI tools for both work and non-work-related purposes. A mixed-methods
approach was employed in this research. From workplace perspectives, quantitative
data were collected using a structured questionnaire from UK employees. From the
public perspective, qualitative data were collected through text mining using specific
keywords from Tweets on X platform. Findings showed that, while workplace
respondents reported modest levels of perceived bias across all groups, public
sentiment analysis and themes showed significant mistrust and negative perception of
bias in generative AI outputs for women and people of colour. There was however
positive perception as it relates to Neurodiverse people, with the public data showing
positive sentiments for Gen AI outputs as it relates to Neurodiverse people, as the users
view it as a tool for helping dyslexic users communicate better.

Research target: Computer Science Psychology Economics and Management
Language: English
Full text
Keywords: Social MediaSentiment AnalysisGenerative AIGen AIAI BiasWorkplace Perception
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