Disagreement and confusion about artificial intelligence (AI) terminology impede researchers, innovators, and practitioners when developing and implementing enterprise applications. The prevailing ambiguities and use of buzzwords are exacerbated by media and vendor marketing hype. This study identifies several ambiguities within and across AI fields and subfields. Combining a systematic review with a sequential mixed-models design, a total of 26,143 publications were reviewed and mapped, making this the largest conceptual study in the AI field. A unified framework is proposed as an Euler diagram to bring about clarity through a "common language" for AI researchers, innovators, and practitioners.
|Journal||Journal of Engineering and Technology Management - JET-M|
|Issue number||Oct-Dec 2022|
|Publication status||Published - Sep 2022|