"I Don't Use AI for Everything": Exploring Utility, Attitude, and Responsibility of AI-empowered Tools in Software Development
Shidong Pan, Litian Wang, Tianyi Zhang, Zhenchang Xing, Yanjie Zhao,, Qinghua Lu, Xiaoyu Sun

TL;DR
This study explores how software developers adopt and perceive AI-empowered tools, highlighting their utility, attitudes, and security concerns, based on interviews with practitioners across various sectors.
Contribution
It provides empirical insights into AI tool adoption, developer attitudes, and security considerations in software development, offering practical recommendations for stakeholders.
Findings
Widespread adoption of AI tools across development stages
Developers see AI as an efficiency booster, not a job threat
Varying security risk awareness among practitioners
Abstract
AI-empowered tools have emerged as a transformative force, fundamentally reshaping the software development industry and promising far-reaching impacts across diverse sectors. This study investigates the adoption, impact, and security considerations of AI-empowered tools in the software development process. Through semi-structured interviews with 19 software practitioners from diverse backgrounds, we explore three key aspects: the utility of AI tools, developers' attitudes towards them, and security and privacy responsibilities. Our findings reveal widespread adoption of AI tools across various stages of software development. Developers generally express positive attitudes towards AI, viewing it as an efficiency-enhancing assistant rather than a job replacement threat. However, they also recognized limitations in AI's ability to handle complex, unfamiliar, or highly specialized tasks in…
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Taxonomy
TopicsEthics and Social Impacts of AI · Artificial Intelligence in Healthcare and Education
