The comprehension and adoption of Artificial Intelligence (AI) are beset with practical and ethical problems. This article presents a 5-level AI Capability Assessment Model (AI-CAM) and a related AI Capabilities Matrix (AI-CM) to assist practitioners in AI comprehension and adoption. These practical tools were developed with business executives, technologists, and other organisational stakeholders in mind. They are founded on a comprehensive conception of AI compared to those in other AI adoption models and are also open-source artefacts. Thus, the AI-CAM and AI-CM present an accessible resource to help inform organisational decision-makers on the capability requirements for (1) AI-based data analytics use cases based on machine learning technologies; (2) Knowledge representation to engineer and represent data, information and knowledge using semantic technologies; and (3) AI-based solutions that seek to emulate human reasoning and decision-making. The AI-CAM covers the core capability dimensions (business, data, technology, organisation, AI skills, risks, and ethical considerations) required at the five capability maturity levels to achieve optimal use of AI in organisations.

翻译：人工智能的理解与采纳面临实际与伦理问题。本文提出一个五级人工智能能力评估模型（AI-CAM）及与之相关的人工智能能力矩阵（AI-CM），以帮助从业者理解和采纳人工智能。这些实用工具面向企业高管、技术人员及其他组织利益相关者而开发。与其它人工智能采纳模型相比，它们建立在更全面的人工智能概念基础上，且作为开源成果发布。因此，AI-CAM和AI-CM提供了易于获取的资源，用于帮助组织决策者了解以下方面所需的能力要求：（1）基于机器学习技术的人工智能数据分析用例；（2）利用语义技术工程化与表示数据、信息和知识的知识表示；（3）旨在模拟人类推理与决策的人工智能解决方案。AI-CAM覆盖了在五个能力成熟度级别上实现组织中人工智能最优运用所需的核心能力维度（商业、数据、技术、组织、人工智能技能、风险及伦理考量）。