Companies are increasingly applying artificial intelligence (AI) tools in performance appraisal (PA), an area where managers can motivate employees to improve work performance. This research-in-progress paper proposes an examination of the human-AI configuration in PA decision-making and communication, especially when PA results are negative versus positive. Adapting self-determination theory and a 2×2×2 experimental design, the study will focus on how employees' internal motivations are affected when a good or bad PA result is made and communicated by a human manager or an AI tool. The findings will contribute to the overall discourse about AI application in human resource practices and its effects on employee motivations.