Explainable AI enables entrepreneurial organizations to align decision-making, requiring a crucial human-AI interface for effective collaboration.
Authors
Sanjay Chaudhary, Associate Professor, Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India
Ashraf Khalil, Zayed University, Abu Dhabi, United Arab Emirates
Rekha Attri, Jaipuria Institute of Management, Indore, India
Peter Ractham, Center of Excellence in Operations and Information Management, Thammasat Business School, Thammasat University, Bangkok, Thailand
Summary
The current advancement of artificial intelligence (AI) is the culmination of a prolonged effort to endow machines with human cognitive capabilities. Scholars and practitioners agree that AI has the potential to revolutionize decision-making in uncertain environments, with the potential role of AI in shaping entrepreneurial decision-making. Simultaneously, AI presents novel challenges, such as explainability, privacy, and data security, and may induce mistakes and ethical issues. As organizations and individuals expect AI decision-making processes to be transparent and understandable, the question of how entrepreneurial organizations adopt AI technologies remains unanswered. There is a lack of clarity on the implications of AI in the context of entrepreneurial organizations. To answer our research question, we conduct a qualitative study and use an interpretive research paradigm with an abductive approach to enrich the current understanding of the role of Explainable AI in shaping organizational processes and accomplishing organizational goals. The finding reveals that Explainable AI enables entrepreneurial organizations to align their decision-making. The role of the human-AI interface is crucial to leverage AI recommendations. We conclude with a discussion of future research on Explainable AI.
Published in: Technological Forecasting and Social Change
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