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Towards algorithm auditing: managing legal, ethical and technological risks of AI, ML and associated algorithms.迈向算法审计:管理人工智能、机器学习及相关算法的法律、伦理和技术风险。
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A high-level overview of AI ethics.人工智能伦理的高层次概述。
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'It will change everything': DeepMind's AI makes gigantic leap in solving protein structures.“它将改变一切”:深度思维公司的人工智能在解决蛋白质结构问题上取得巨大飞跃。
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教育中的人工智能(AIEd):2021年高级学术与行业报告

Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021.

作者信息

Chaudhry Muhammad Ali, Kazim Emre

机构信息

Artificial Intelligence at University College, London, UK.

Department of Computer Science, University College, London, UK.

出版信息

AI Ethics. 2022;2(1):157-165. doi: 10.1007/s43681-021-00074-z. Epub 2021 Jul 7.

DOI:10.1007/s43681-021-00074-z
PMID:34790953
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8261391/
Abstract

In the past few decades, technology has completely transformed the world around us. Indeed, experts believe that the next big digital transformation in how we live, communicate, work, trade and learn will be driven by Artificial Intelligence (AI) [83]. This paper presents a high-level industrial and academic overview of AI in Education (AIEd). It presents the focus of latest research in AIEd on reducing teachers' workload, contextualized learning for students, revolutionizing assessments and developments in intelligent tutoring systems. It also discusses the ethical dimension of AIEd and the potential impact of the Covid-19 pandemic on the future of AIEd's research and practice. The intended readership of this article is policy makers and institutional leaders who are looking for an introductory state of play in AIEd.

摘要

在过去几十年里,技术彻底改变了我们周围的世界。事实上,专家们认为,人工智能(AI)将推动我们在生活、交流、工作、贸易和学习方式上的下一次重大数字变革[83]。本文对教育人工智能(AIEd)进行了高层次的行业和学术概述。它介绍了AIEd最新研究的重点,包括减轻教师工作量、为学生提供情境化学习、革新评估方式以及智能辅导系统的发展。本文还讨论了AIEd的伦理层面,以及新冠疫情对AIEd研究与实践未来的潜在影响。本文的目标读者是那些希望了解AIEd入门现状的政策制定者和机构领导者。