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International projects source: SICRIS

Artificial Intelligence for People, Planet and Profit

Keywords
Artificial Intelligence
Researchers (3)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  36489  PhD Victor Cepoi  Sociology  Former/secondary head  2022 - 2023  36 
2.  52256  MSc Jasmina Jakomin  Sociology  Researcher  2022 - 2024 
3.  57834  Janja Lozar  Sociology  Head  2023 - 2024 
Organisations (1)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  2486  Faculty of Applied Social Studies  Nova Gorica  2230526  2,253 
Abstract
Project description AI4PPP is an interdisciplinary project designed to meet challenges of the modern educations system and challenging market needs, by providing an awareness-raising, holistic and flexible education in business aspects of AI. We expect that improved educational and training modules in AI together with guidelines, to be implemented and used by partner organizations and other relevant HEIs. This will help in adopting an AI-based mentality powered by piloting and simulating AI processes. By implementing scenarios of AI into selected industries, the project will elaborate guidelines for improvements in usage of AI methodologies and tools in business having backpropagation elements to be used in education and by doing so will popularize AI within a various and especially non-technical sector (i.e. social sciences and humanities). Project main aim The objective of AI4PPP is to provide to our target groups not only a basic understanding of AI, the language surrounding the technological and social aspects of AI, but also to show how it works and to show the potential of its future implementations in all professions and industries. Results/Activities Partners will carry out a wide range of activities in order to implement a well-rounded, high value transferable educational and training programme in AI through (i) comprehensive DACUM analysis in order to proof trends and skills used and needed among relevant AI professionals; (ii) development of educational modules, (iii) adaptation and creation of teaching contents and materials according to established needs of the target groups,(iv) piloting the newly developed modules and materials, (v) implementing scenarios of AI application in selected industries, and (vi) finally make all preparations for AI educational program to be certified using micro-credentials approach/concept
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