Paper Type
Complete
Description
The augmentation of human capability with artificial intelligence is integral to the advancement of next generation information systems yet we have limited understanding of how organisations can translate the potential of AI into creating business value. We conducted a pilot study of direct users of AI enabled technologies to investigate the challenges and opportunities of successful implementations of human-machine systems. Our study found that organisations have realised positive benefits from AI projects through high levels of communication, stakeholder consultation, problem management, ethics, and transparency. Significant work is required in managing staff motivation and empowerment, trust in AI technologies, and managing novel cyberthreat issues. Shortcomings in AI technology development in the areas of accuracy, reliability, trust, and human-machine interaction appear to be significant barriers to adoption and performance, as is the integrative and synchronous development of both human and technical systems. Performance outcomes may be equally dependent on how well organisation can strategically use AI to adapt, integrate and renew itself in a constantly shifting technological landscape.
Paper Number
1720
Recommended Citation
Raftopoulos, Marigo and Hamari, Juho, "Artificial Intelligence in the Workplace: Implementation Challenges and Opportunities" (2023). AMCIS 2023 Proceedings. 8.
https://aisel.aisnet.org/amcis2023/fow/fow/8
Artificial Intelligence in the Workplace: Implementation Challenges and Opportunities
The augmentation of human capability with artificial intelligence is integral to the advancement of next generation information systems yet we have limited understanding of how organisations can translate the potential of AI into creating business value. We conducted a pilot study of direct users of AI enabled technologies to investigate the challenges and opportunities of successful implementations of human-machine systems. Our study found that organisations have realised positive benefits from AI projects through high levels of communication, stakeholder consultation, problem management, ethics, and transparency. Significant work is required in managing staff motivation and empowerment, trust in AI technologies, and managing novel cyberthreat issues. Shortcomings in AI technology development in the areas of accuracy, reliability, trust, and human-machine interaction appear to be significant barriers to adoption and performance, as is the integrative and synchronous development of both human and technical systems. Performance outcomes may be equally dependent on how well organisation can strategically use AI to adapt, integrate and renew itself in a constantly shifting technological landscape.
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