一个人工智能驱动的虚拟老师,可以一对一地提高任何人的技能,从伊拉克的难民营到印度

Dev Aditya, P. Otermans
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摘要

通过与Otermans Institute的人工智能建模工作,Dev Aditya建立了几个会话式人工智能驱动的虚拟教师,有些是机器人,有些是通过deepfake等技术使用类似人类的形式,为社会上一些最缺乏服务的学习者提供一对一的教学和培训。他的第一个主要人形原型OI AI是一个虚拟教师和培训师,可以与全球几乎所有人进行互动和教学。虚拟教练的第一个版本在伊拉克库尔德斯坦的联合国难民署BCF营地进行了测试。初步结果表明,这种虚拟教练可以为这些学习者提供持续的技能提升,并且被用户认为是温暖和人性化的。随着智能手机和互联网在这些难民营的普及,它提高国内流离失所者和难民学习者技能的潜力是巨大的,特别是在全球有超过5亿人因暴力或战争而流离失所的情况下。本演讲将简要讨论这项研究,其初步发现,以及下一步的步骤,包括通过将他的最新模型OTTO嵌入到虚拟教师中来教授5000名这样的学习者,该虚拟教师可以生成问题,对用户给出的答案进行评分,并根据提供给它的任何学习内容创建学习摘要。
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An AI-Driven Virtual Teacher That Can Upskill Anyone on a One-to-One Basis Tested From Refugee Camps in Iraq to India
Through AI modeling work done with Otermans Institute, Dev Aditya has built several conversational AI-driven virtual teachers, some as Bots and some using humanlike form through technologies like deepfake, to provide one-to-one teaching and training to some of the most underserved learners in society. His first major humanlike prototype, OI AI, was a virtual teacher and trainer built to interact with and teach almost anyone globally. The first version of the virtual trainer was tested in a UNHCR BCF camp in Kurdistan, Iraq. Preliminary results have shown that this virtual trainer can provide continuous upskilling for such learners and has been considered to be warm and humanlike by its users. With smartphone and internet penetration now increasing in such camps, the potential of it upskilling internally displaced and refugee learners is massive especially when over 500 million people are displaced by either violence or war globally. This presentation will discuss this study briefly, its preliminary findings, and the next steps that have included teaching 5,000 such learners by embedding his latest model OTTO to the virtual teacher, which can generate questions, grade answers given by users, and create study summaries from any learning content given to it in close to real-time.
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