Balancing Innovation and Ethics: A Framework for Responsible AI Integration in Educational Assessment

This study examines the transformative potential and ethical challenges of artificial intelligence integration in educational assessment systems. Through comprehensive analysis, the research identifies significant value propositions of AI-enabled evaluation, including enhanced data-driven assessment capabilities, sophisticated process evaluation mechanisms, and improved value-added assessment models that transcend traditional limitations. However, the investigation reveals profound ethical concerns surrounding algorithmic evaluation hegemony, privacy erosion, human agency marginalisation, and systemic fairness challenges stemming from algorithmic bias and opacity. The study proposes a multi-dimensional optimisation framework encompassing institutional development, value-oriented integration of instrumental and humanistic rationality, and robust ethical guardianship mechanisms. The findings emphasise the critical need for harmonious human-machine collaboration in educational contexts, ensuring that technological advancement serves rather than supplants fundamental educational values whilst addressing equity concerns and preserving human dignity in assessment practices.