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Paper Number
1801
Paper Type
Complete
Abstract
Though human-AI collaboration (HAIC) is increasing, significant challenges persist in its effective adoption. Based on a systematic literature review, we propose a framework encompassing 15 obstacles to the adoption of HAIC in organizations, organized into three components of competence learning: knowledge, skills, and attitudes. Important obstacles include the lack of an AI strategy, limited understanding of AI responses, a technology readiness gap, cultural adoption resistance, as well as ethical and privacy concerns. We apply our framework to a case study of an international automotive OEM. 14 semi-structured interviews with executives provide further insights, such as categorizing the lack of technical readiness into over-reliance on human interaction, digital mindset, fear of AI, and operational readiness. Our framework provides a comprehensive overview of relevant obstacles to HAIC adoption and can help to develop effective strategies for integrating AI, leading to improved productivity and decision-making processes in organizations.
Recommended Citation
Sudeeptha, Ishara; Müller, Wieland; Richter, Alexander; Leyer, Michael; and Nolte, Ferry, "Obstacles to Human-AI Collaboration" (2024). ICIS 2024 Proceedings. 2.
https://aisel.aisnet.org/icis2024/practitioner/practitioner/2
Obstacles to Human-AI Collaboration
Though human-AI collaboration (HAIC) is increasing, significant challenges persist in its effective adoption. Based on a systematic literature review, we propose a framework encompassing 15 obstacles to the adoption of HAIC in organizations, organized into three components of competence learning: knowledge, skills, and attitudes. Important obstacles include the lack of an AI strategy, limited understanding of AI responses, a technology readiness gap, cultural adoption resistance, as well as ethical and privacy concerns. We apply our framework to a case study of an international automotive OEM. 14 semi-structured interviews with executives provide further insights, such as categorizing the lack of technical readiness into over-reliance on human interaction, digital mindset, fear of AI, and operational readiness. Our framework provides a comprehensive overview of relevant obstacles to HAIC adoption and can help to develop effective strategies for integrating AI, leading to improved productivity and decision-making processes in organizations.
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24-Practitioner