The AIR-7 Implementation Protocol
By Dimitrios Thomakos and Foteini Kyriazi
The AIR-7 Implementation Protocol is a pioneering methodological framework from researchers at CAIL for conducting rigorous and ethical AI-enabled research in collaboration with artificial intelligence and LLMs. This seven-step protocol moves beyond a simple technical guide by integrating principles from ancient Greek and Roman philosophy to ensure intellectual integrity and purpose are maintained. The framework provides systematic guidelines, decision matrices, and quality assessment tools that help researchers tackle crucial challenges like mitigating AI-related biases and ensuring quality output. It clarifies how to best allocate tasks between human researchers and AI systems, creating a structured, collaborative process that harnesses the power of AI while keeping human oversight at the center of the research.
The framework also offers a path forward for addressing key challenges in the field. It provides practical advice on advanced techniques like prompt engineering, which helps researchers get more precise and transparent results from "black box" AI models. Furthermore, it details how the protocol can be adapted for different types of research, from qualitative studies to interdisciplinary projects, ensuring its broad applicability. By combining philosophical wisdom with modern computational strategies, the AIR-7 Protocol empowers researchers to leverage AI's capabilities effectively while upholding the highest standards of methodological rigor and ethical practice.
