Project № КП-06-Н95/6 funded under the Competition for financial support of basic research projects – 2025, Scientific Research Found, Ministry of Education and Science
Duration of the project: 36 moths (initial data December 2025)
Principal investigator: Prof. Ergyul Tair, D.Sc. (Psychology Department, IPHS-BAS)
IPHS-BAS team: Assoc. Prof. Valeri Todorov, PhD, Assoc. Prof. Sezgin Bekir, PhD, Asst. Prof. Viktoriya Nedeva-Atanasova, PhD, Asst. Prof. Elena Tsankova, PhD, Asst. Prof. Tsvetelina Panchelieva, PhD, Elitsa Staneva-Britton (PhD Student), Silviya Sarafova (PhD Student), Denis Simeonov (Student)
IICT-BAS team: Prof. Kiril Simov, PhD, Kristin Dimitrova (Junior Researcher), Nikolay Peev (Junior Researcher), Stefan Marinov (Junior Researcher), Teodor Valchev (Junior Researcher)
The project investigates human – AI interaction by focusing on the determinants that shape employee engagement in the context of rapidly advancing automatization. Project implementation is planned in three steps: 1) administration of a nationally representative survey for evaluation of employee digital readiness within the country; 2) development of AI algorithms for specific economic sectors; 3) approbation of a model for evaluation of human – AI interaction based on the Job Demands-Resources model.
The project’s results will contribute the acquisition of new knowledge about employee attitudes towards AI, personal resources (trust in AI, digital readiness), working environment demands, and work engagement – key factors for the retention of highly qualified personnel within the country as well as for the acceleration of technological development. The nationally representative findings regarding attitudes towards AI, employee trust, AI use regulations, etc. will facilitate the detection of existing specifics within the separate economic sectors and will expand the present understanding of digital transformation and intelligent specialization of organizations within a national context. The developed linguistic models and training algorithms for application within specific sectors (e.g, administration, education, etc.) will facilitate knowledge transfer from an academic to a business context, and will foster the productivity and competitiveness of the national economy. The projects’ results will outline scientifically driven guidelines for management practices directed at successful and ethical digital transformation within organizations, placing the human individual – together with their needs and potential – at the center of human – AI interaction.