University of Twente Student Theses


Using AI in performance feedback systems : how do ethics affect integration?

Vergert, T.J.H. ten (2022) Using AI in performance feedback systems : how do ethics affect integration?

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Abstract:Purpose: AI feedback is increasingly used in new and existing businesses, using AI in feedback processes requires integration of such systems in an existing HR department. This paper seeks to find out the ethical dilemmas and considerations regarding AI in performance feedback, and how they affect the integration of AI in feedback systems. Design: Due to the subjective nature of ethical opinions, this paper uses a qualitative research design with semi-structured interviews. Interviews were conducted with one employee being monitored by AI software, two sales representatives of an AI software company and four experts in the academic field of ethics. Findings: From the interviews held, multiple interviewed parties suggested that biases will always exist within AI software. AI software can never be fully autonomous. An employee’s perception towards privacy can be explained by many demographic factors. Privacy is strictly safeguarded by country laws. Right now, software developers have difficulties explaining how an AI software comes to a feedback decision, transparency is important for an AI to be ethically sound. Managers need to be accountable for the decisions an AI software makes. Conclusion: Ethical considerations affect the multi-functionality of an AI software in performance feedback the most, the accuracy and machine autonomy of an AI software are strongly inversely related to each other. No interviewed group believes that machine autonomy with the current state of AI intelligence can be achieved in performance feedback.
Item Type:Essay (Bachelor)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:08 philosophy
Programme:International Business Administration BSc (50952)
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