The prompt is not the work; describing AI contributions (sgnt.ai)

The rapid rise of generative AI has sparked a pressing need for a more nuanced vocabulary to describe human contributions to AI-assisted creations. Currently, the broad term "AI-generated" fails to capture the spectrum of involvement — from those who merely prompt AI to those who engage deeply with the technology, iterating and refining its output. This lack of precise language can mislead both creators and consumers, fostering confusion over authorship and contribution levels, which in turn may deter honest disclosure in various fields like publishing and academia. The disparity between simple prompts and extensive human engagement calls for a "contribution grammar" that articulates various facets of human involvement, ensuring that individuals can accurately express their role in the creative process. Establishing clearer distinctions among authorship, effort, judgment, and endorsement will enhance communication in the tech community. Current solutions, such as multi-tiered disclosure frameworks in academic publishing and specific guidelines for open-source projects, provide a foundation but lack the conversational convenience needed for everyday interactions. By adopting straightforward phrases that describe specific actions, creators can effectively communicate their level of involvement with AI tools. Such clarity is essential for preserving both credibility and accountability in an era where the influence of AI in creative processes continues to grow.