About the Project
Creativity has always been a deeply personal process — a place where individuals experience a sense of uniqueness. The emergence of generative neural networks has altered this perception: a machine can now produce text, images, or music in seconds that previously required weeks of work.
Research from recent years (2023–2026, including publications in Creativity Research Journal, ACM CHI, Frontiers in Artificial Intelligence, and studies on AI-augmented creativity and co-creation psychology) reveals a dual psychological effect.
For some people, AI reduces anxiety and perfectionism while restoring the joy of experimentation. For others, it triggers an identity crisis — “If AI can do this faster or better, who am I as a creator?” — and may reduce intrinsic motivation.
This project does not attempt to answer whether AI will replace artists or how to outperform AI systems. Instead, it focuses on the internal world of creative individuals: how motivation, self-esteem, sense of authorship, and perceived competition with machines change when AI tools become part of the creative process.
The project is strictly educational and does not promote products, services, or commercial solutions. This project does not promote any AI tools, platforms, prompt libraries, creative software, courses, or commercial applications.
The webinar is provided for educational purposes only. The invited expert participates as a guest contributor.
Research-Based Discussion
All content draws from verified academic studies published between 2023 and 2026 in peer-reviewed journals and conferences.