Illusions of Understanding: The Epistemic Risks of Artificial Intelligence in Software Engineering Research
Year: 2024
Type: article
Abstract: This study investigates the growing integration of artificial intelligence (AI) in scientific research, focusing on its application within software engineering. As AI becomes a more prominent tool for enhancing productivity and objectivity, concerns emerge regarding its potential to create illusions of understanding. This research examines how AI-driven monocultures in scientific practices may narrow the scope of inquiry and marginalize alternative perspectives, ultimately limiting innovation. Through a critical analysis of AI’s roles—Oracle, Surrogate, Quant, and Arbiter—this paper explores the balance between AI’s promises and epistemic risks, concluding with recommendations for fostering diverse and responsible AI use in software engineering research.
Author: Todorov, Petar Georgiev
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6949261933
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