TY - GEN
T1 - Great Power Brings Great Responsibility
T2 - 18th IEEE/ACM International Conference on Cooperative and Human Aspects of Software Engineering, CHASE 2025
AU - Santos, Italo
AU - Felizardo, Katia Romero
AU - Steinmacher, Igor
AU - Gerosa, Marco A.
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Newcomers onboarding to Open Source Software (OSS) projects face many challenges. Large Language Models (LLMs), like ChatGPT, have emerged as potential resources for answering questions and providing guidance, with many developers now turning to ChatGPT over traditional Q&A sites like Stack Overflow. Nonetheless, LLMs may carry biases in presenting information, which can be especially impactful for newcomers whose problem-solving styles may not be broadly represented. This raises important questions about the accessibility of AI-driven support for newcomers to OSS projects. This vision paper outlines the potential of adapting AI responses to various problem-solving styles to avoid privileging a particular subgroup. We discuss the potential of AI persona-based prompt engineering as a strategy for interacting with AI. This study invites further research to refine AI-based tools to better support contributions to OSS projects.
AB - Newcomers onboarding to Open Source Software (OSS) projects face many challenges. Large Language Models (LLMs), like ChatGPT, have emerged as potential resources for answering questions and providing guidance, with many developers now turning to ChatGPT over traditional Q&A sites like Stack Overflow. Nonetheless, LLMs may carry biases in presenting information, which can be especially impactful for newcomers whose problem-solving styles may not be broadly represented. This raises important questions about the accessibility of AI-driven support for newcomers to OSS projects. This vision paper outlines the potential of adapting AI responses to various problem-solving styles to avoid privileging a particular subgroup. We discuss the potential of AI persona-based prompt engineering as a strategy for interacting with AI. This study invites further research to refine AI-based tools to better support contributions to OSS projects.
UR - https://www.scopus.com/pages/publications/105009128646
UR - https://www.scopus.com/inward/citedby.url?scp=105009128646&partnerID=8YFLogxK
U2 - 10.1109/CHASE66643.2025.00019
DO - 10.1109/CHASE66643.2025.00019
M3 - Conference contribution
AN - SCOPUS:105009128646
T3 - Proceedings - 2025 IEEE/ACM 18th International Conference on Cooperative and Human Aspects of Software Engineering, CHASE 2025
SP - 93
EP - 95
BT - Proceedings - 2025 IEEE/ACM 18th International Conference on Cooperative and Human Aspects of Software Engineering, CHASE 2025
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 April 2025 through 28 April 2025
ER -