As artificial intelligence and machine learning tools have become pervasive in business applications, so too have interactions between AI and humans in business processes and decision making. As such, a growing area of research has focused on human decision and task delegation to AI assistants. Simultaneously, extensive research on the phenomenon of algorithm aversion, human’s resistance to assistance from algorithm-based decision tools, demonstrates potential barriers and issues with AI applications in business processes. In this research, we test a simple strategy for mitigating algorithm aversion in the context AI task delegation. During this session, Jesse Bockstedt, Senior Associate Dean for Graduate Programs and Professor of Information Systems & Operations Management at Goizueta Business School, will show that simply changing the framing of the decision tasks can potentially allay algorithm aversion.