软件工程领域中的生成式人工智能：职业身份的张力与身份保护模式
Generative AI in the Software Engineering Domain: Tensions of Occupational Identity and Patterns of Identity Protection
AI总结：
本文基于职业身份与自我决定理论，通过软件工程领域的定性研究，揭示不同经验水平的工程师如何通过意义建构保护职业身份，并为组织应对生成式AI带来的职业身份冲击提出设计指南。
摘要：
在组织环境中采用生成式人工智能（GAI）引发了对工作者角色的质疑，并进而涉及其长期技能发展和领域专业知识的潜在影响。在我们于软件工程领域开展的定性研究中，我们以职业身份理论和自我决定理论为理论视角，旨在理解软件工程师如何以及为何对GAI在其工作中的意义进行解读。我们发现，工程师的意义建构取决于其领域专业知识水平，因为初级和资深工程师感受到GAI对其胜任感、自主性和关联性需求的影响各不相同。我们揭示了个人在保留隐性领域知识方面的重要作用，因为工程师进行意义建构的方式保护了其职业身份。我们阐明了组织在塑造工作者意义建构过程中所起的积极作用，并提出了关于组织和系统设计者如何促进技术变革对工作者职业身份影响的设计指南。
英文摘要：
The adoption of generative Artificial Intelligence (GAI) in organizational settings calls into question workers' roles, and relatedly, the implications for their long-term skill development and domain expertise. In our qualitative study in the software engineering domain, we build on the theoretical lenses of occupational identity and self-determination theory to understand how and why software engineers make sense of GAI for their work. We find that engineers' sense-making is contingent on domain expertise, as juniors and seniors felt their needs for competence, autonomy, and relatedness to be differently impacted by GAI. We shed light on the importance of the individual's role in preserving tacit domain knowledge as engineers engaged in sense-making that protected their occupational identity. We illustrate how organizations play an active role in shaping workers' sense-making process and propose design guidelines on how organizations and system designers can facilitate the impact of technological change on workers' occupational identity.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
