AI to Learn 2.0 Proposes New Governance Framework

The paper discusses the challenges of evaluating AI-assisted outputs within education and professional environments, introducing "AI to Learn 2.0" as a governance framework. This framework addresses proxy failures where polished outputs may not reflect genuine understanding or capability by structuring AI outputs around final deliverables, proposing a comprehensive five-part package and a seven-dimension maturity rubric for assessment.

The implications of this framework are significant for educational institutions and policymakers. It aims to ensure that AI-generated products are not merely polished artifacts but are auditable and transferable, thereby preserving learning outcomes. By integrating human-attributable evidence and establishing critical thresholds, the framework promotes accountability, aiming to reshape how AI capabilities are evaluated academically and professionally in learning-intensive domains.