PEEL: A New Framework for Ensuring Accountability in AI Research
The introduction of PEEL aims to address the challenges posed by large language models in research, particularly concerning epistemic accountability.
On June 4, 2026, a commentary published on ArXiv AI highlights the transformative role of large language models in research practices. However, it raises concerns about the potential erosion of researchers' epistemic accountability.
To counter these challenges, the commentary introduces PEEL, which stands for Protocols for Epistemically Engaged Literacy. This framework is designed to help researchers maintain accountability in the face of evolving AI technologies.
As AI continues to influence various fields, the need for robust mechanisms like PEEL becomes increasingly critical to ensure that research remains credible and ethically sound.