Abstract
The increasing use of generative AI writing tools raises concerns in academia. While these AI systems can produce at the same time coherent, relevant text, they also generate errors that users may mistakenly accept as true facts. Tools like watermarking and AI detection software have been developed to avoid this ambiguity, but these instruments have limitations. They can lead to false positives, unfairly accusing authors of AI-generated work. These circumstances create challenges such as a loss of creativity, cultural biases, neglect of critical writing skills, and undermining student-educator trust. However, AI tools can also benefit those with cognitive or linguistic challenges. This proposal aims to investigate the experiences with AI detection systems through an international network of transdisciplinary experts to cooperate in establishing an ethical framework, including an appeals committee, to ensure fair treatment and uphold academic integrity.