Teaching Artificial Intelligence (AI) with AI for AI applications

K. Brawner, Ning Wang, Ben Nye
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Abstract

The emergence of widely-used artificial intelligence (AI) has created a critical need for AI expertise, not just as a research area but for workers in the wide variety of careers and roles that AI disrupts.  While AI is still an area of research for new processing, application, and development – it continues to partially automate, augment, or replace many of the tasks which are performed through active use of human hands.  While recently publicized items such as ChatGPT and MidJourney have made press in their adjustment to writing and image generation technology, the basic workflow of copyeditors and digital artists was completely transformed, inside of the year, to a combination of partially automated or fully automated AI tasks.  While some blame AI as part of the “problem”, it is naturally part of the “solution” – AI tools to help workers develop AI competencies.  The paper describes an array of strategies which the DoD and its ICT UARC are using to address the fundamental problem of quickly upskilling the DoD workforce of over 2 million adult learners.
教学人工智能(AI)与人工智能应用
广泛使用的人工智能(AI)的出现创造了对人工智能专业知识的迫切需求,不仅是作为一个研究领域,而且是作为人工智能所颠覆的各种职业和角色的工作者。虽然人工智能仍然是一个新的处理、应用和开发的研究领域,但它继续部分自动化、增强或取代许多通过积极使用人手来执行的任务。虽然最近公布的ChatGPT和MidJourney等项目在调整写作和图像生成技术方面取得了进展,但编辑和数字艺术家的基本工作流程在年内完全转变为部分自动化或全自动人工智能任务的组合。虽然有些人指责人工智能是“问题”的一部分,但它自然是“解决方案”的一部分——人工智能工具帮助工人培养人工智能能力。该文件描述了国防部及其ICT UARC正在使用的一系列策略,以解决快速提高国防部200多万成人学习者劳动力技能的基本问题。
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