Browsing by Author "Keltanen, Remu"

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  • Generative AI in the Workplace: Effects on Employee Efficiency and Performance
    (2024) Keltanen, Remu
     School of Business | Bachelor's thesis
    The objective of this thesis is to explore how the use of generative artificial intelligence (AI) in the workplace affects employee performance. Through a comprehensive review of existing literature and research on the topic, the findings suggest that generative AI has the potential to enhance employee productivity across various tasks by automating routine processes, freeing up time for more complex activities, improving output quality, reducing skill gaps among employees, and fostering creativity and innovation. However, the use of generative AI in the workplace also presents challenges, including the need to understand its capabilities, recognize false information, address potential negative impacts on high-skilled workers, and navigate privacy, security, and the efficient utilization of this technology.