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.

在开发和实施企业应用程序时，对人工智能 (AI) 术语的分歧和混淆阻碍了研究人员、创新者和从业者。媒体和供应商营销炒作加剧了流行的模糊性和流行语的使用。这项研究确定了 AI 领域和子领域内部和跨领域的几个歧义。将系统审查与顺序混合模型设计相结合，共审查和绘制了 26,143 份出版物，使其成为人工智能领域最大的概念研究。提出了一个统一的框架作为欧拉图，以通过一种“通用语言”为人工智能研究人员、创新者和从业者带来清晰性。