学生对人工智能的看法:挑战、机遇和社会影响。

Ishita Kapur, Caroline N Sharkey, Cheng Ren
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引用次数: 0

摘要

目的:人工智能(AI)呈现出独特的技术进步,其中既有挑战,也有机遇。然而,学生对人工智能多方面影响的看法在当前文献中鲜为人知。为了解决这一差距,目前的研究旨在探讨社会工作专业学生对人工智能技术的看法和担忧。材料和方法:我们对社会工作项目的学生(n = 15)进行了结构化访谈。我们制定了一份面试指南,列出了要问学生的一系列问题,学生不需要事先了解人工智能。结果:采用主题分析方法对数据进行分析,得出五个主题:1)提高效率,2)伦理考虑,3)风险关注,4)心理影响,5)社会影响。讨论:社会工作学科需要加大力度研究人工智能在社会服务提供和社会工作教育中的效用。还需要探索学生对人工智能技术使用的看法,以及教育工作者和社会工作专业人员使用这些技术提高社会服务效率的潜在方式,同时减轻已识别的风险、伦理问题和社会心理影响。就数字素养、加强学生学习、道德和认证标准提出了建议。结论:我们的研究强调了了解人工智能技术如何影响人类感知的必要性,并提出了将人工智能更好地融入社会工作教育课程的建议,以及考虑到人工智能的伦理意义和实际应用,在学生中推广人工智能的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Student Perspectives on Artificial Intelligence: Challenges, Opportunities, and Societal Implications.

Purpose: Artificial intelligence (AI) presents unique advancements in technology that involve both challenges and opportunities. However, student perspectives regarding the multifaceted impact of AI are less known in the current literature. To address this gap, the current study was undertaken to explore social work students' perceptions and concerns associated with AI technologies.

Materials and methods: We conducted structured interviews with students (n = 15) in social work programs. We developed an interview guide with a list of questions to ask students, and no prior knowledge of AI was required by the students.

Results: The data were analyzed using a thematic analysis approach that resulted in five themes: 1) Increased efficiency, 2) Ethical considerations, 3) Risk concerns, 4) Psychological impacts, and 5) Societal impacts.

Discussion: The social work discipline needs to augment efforts into research on the utility of AI in social services delivery and social work education. There is also a need to explore students' perspectives on the use of AI technologies and the potential ways in which these technologies can be used by educators and social work professionals to increase efficiency in social services while mitigating identified risks, ethical concerns, and psychosocial impacts. Recommendations are made regarding digital literacy, enhanced student learning, ethics, and accreditation standards.

Conclusion: Our study highlights the need to gain an understanding of how AI technologies influence human perception and provides recommendations for better integration of AI in social work educational curricula and ways to promote AI among students, given its ethical implications and practical application.

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