SCAN: A Decision-Making Framework for Effective Task Allocation with Generative AI

The SCAN framework is introduced as a human-centric decision-making tool designed to enhance task allocation using Generative AI, informed by Vygotsky's theories on development and metacognition. It categorizes AI-human interactions into four sub-zones: Substitute, Complement, Aid, and Non-negotiable, allowing users to optimize their engagement with GenAI in various contexts, such as education and the workplace. This framework is significant for practitioners as it provides a structured approach to integrating AI into workflows while addressing cognitive load and promoting lifelong learning and hybrid intelligence.