A new paper on the effects of AI-generated workplace feedback on employees’ occupational self-efficacy led by Dr. Yasushi Watanabe has been published in Scientific Reports.

As AI is increasingly expected to be utilized in employee training and workplace feedback, it is essential to understand how AI and humans can complement or supplement each other to effectively enhance employees’ occupational self-efficacy. The published study conducted an experiment using ChatGPT-based AI chatbots to provide feedback to office workers and freelancers in Japan. The experiment compared the effectiveness of two types of AI feedback: “positive feedback”, focusing on individuals’ strengths, and “negative/constructive feedback”, addressing areas for improvement. Results indicated that participants who received “positive feedback” experienced improved occupational self-efficacy. On the other hand, the “negative/constructive feedback” was effective in enhancing self-efficacy only when participants received substantial emotional support from supervisors and colleagues. This research offers valuable insights into effective complementary roles for AI and humans in the workplace and provides important implications for future AI implementation at work.

The full article is open access and freely available here.

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