Computing Specializations: Perceptions of AI and Cybersecurity Among CS Students

Computing Specializations: Perceptions of AI and Cybersecurity Among CS Students
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计算机专业:计算机科学学生对人工智能和网络安全的看法

DOI:
10.1145/3545945.3569782
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发表时间:
2023
期刊:
Proceedings of the 54th ACM Technical Symposium on Computer Science Education
影响因子:
--
通讯作者:
Lewis, Colleen M.
Lewis, Colleen M.
中科院分区:
--
文献类型:
--
作者:
Ojha, Vidushi;Perdriau, Christopher;Lagesse, Brent;Lewis, Colleen M.

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人工智能 (AI) 和网络安全是急需的技能,但人们对哪些因素影响计算机科学 (CS) 本科生是否专攻人工智能或网络安全的决定以及这些因素在不同人群之间的差异知之甚少。在这项研究中,我们采访了计算机科学专业的本科生,了解他们对人工智能和网络安全的看法。对这些访谈的定性分析表明,学生们对于人工智能和网络安全需要什么样的工作、在这些领域工作的人员类型以及人工智能和网络安全可能产生的潜在社会影响抱有狭隘的看法。具体来说,学生们倾向于认为人工智能领域的所有工作都需要数学和训练模型,而网络安全则由低级编程组成;天生聪明的人在这两个领域都工作;从事人工智能工作会带来道德问题;网络安全技能在当代社会非常重要。其中一些看法强化了对计算机的现有刻板印象,并可能不成比例地影响历史上在计算机领域代表性不足的群体的学生的参与。我们的主要贡献是确定学生对人工智能和网络安全表达的信念,这些信念可能会影响他们对这两个领域的兴趣,因此可能会为扩大学生对人工智能和网络安全的看法的努力提供信息。扩大学生对人工智能和网络安全的认知可能有助于纠正误解并挑战狭隘的定义,从而鼓励所有学生参与这些领域。
Artificial intelligence (AI) and cybersecurity are in-demand skills, but little is known about what factors influence computer science (CS) undergraduate students' decisions on whether to specialize in AI or cybersecurity and how these factors may differ between populations. In this study, we interviewed undergraduate CS majors about their perceptions of AI and cybersecurity. Qualitative analyses of these interviews show that students have narrow beliefs about what kind of work AI and cybersecurity entail, the kinds of people who work in these fields, and the potential societal impact AI and cybersecurity may have. Specifically, students tended to believe that all work in AI requires math and training models, while cybersecurity consists of low-level programming; that innately smart people work in both fields; that working in AI comes with ethical concerns; and that cybersecurity skills are important in contemporary society. Some of these perceptions reinforce existing stereotypes about computing and may disproportionately affect the participation of students from groups historically underrepresented in computing. Our key contribution is identifying beliefs that students expressed about AI and cybersecurity that may affect their interest in pursuing the two fields and may, therefore, inform efforts to expand students' views of AI and cybersecurity. Expanding student perceptions of AI and cybersecurity may help correct misconceptions and challenge narrow definitions, which in turn can encourage participation in these fields from all students.
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