Evaluating generative AI literacy among HR personnel to develop a framework for an internal GPT

Abstract

This Master's thesis explores the adoption and effects of Generative Artificial Intelligence (AI) within the Human Resources (HR) operations at Wrtsil Oyj, focusing on improving AI literacy among HR personnel.Wrtsil recognizes the essential role of HR in integrating AI to enhance HR functions, employee experiences, and well-being.The study used a mixed-methods approach, combining qualitative interviews and quantitative surveys, to assess current AI literacy and identify barriers to using generative AI tools like WrtsilGPT effectively.The research utilized a mixed-methods approach, incorporating both qualitative interviews and quantitative surveys to assess the HR team's current AI literacy and to identify obstacles that hinder the effective deployment of Generative AI tools, including the company's proprietary WrtsilGPT.The findings reveal an urgent requirement for enhanced AI literacy within the HR department at Wrtsil to maximize the benefits of generative AI technologies and optimize HR processes.Generative AI is familiar to 80% of respondents, but only 9% frequently use the company's internal generative AI tools frequently.Only 55% self-evaluate to possess limited to somewhat proficient skills in evaluating AI's application in their field.Despite ethical concerns and the need for human oversight, there is a recognized potential for AI to improve automation and efficiency.Training needs have been pinpointed in areas such as Gen AI basics, use cases, prompt engineering, and ethical AI usage.A structured framework was developed to guide HR professionals in effectively applyingWrtsilGPT and other generative AI tools.The thesis concludes that through targeted educational initiatives and this framework, HR professionals can significantly improve their AI literacy, crucial for effectively harnessing AI capabilities.

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