TLDR: Times Higher Education outlines crucial principles for educators on responsibly integrating Artificial Intelligence into assessment and feedback processes. The guidelines emphasize enhancing student learning, maintaining human accountability, ensuring transparency, and fostering professional development, all while adhering to ethical and evidence-based practices.
A recent article from Times Higher Education (THE), published on August 5, 2025, provides comprehensive guidance for assessors on the judicious use of Artificial Intelligence (AI) in academic marking and feedback. The central theme of the discussion is that the integration of AI must primarily serve to enhance student learning experiences and improve the overall academic environment for all stakeholders, underpinned by evidence-based, ethical, and responsible practices.
One of the most critical principles articulated is the unwavering human accountability. The article firmly states that the ultimate responsibility for the quality, accuracy, fairness, and pedagogical value of all assessment, marking, and feedback remains with the human assessor. AI tools are to be considered as aids that do not diminish or transfer this fundamental accountability.
Transparency and trust are also highlighted as essential components. The integration of AI into assessment, marking, and feedback provision must be fully transparent to foster and maintain trust. Assessors are mandated to clearly disclose if and how they have utilized AI tools, detailing specific methods and critically reflecting on the tools’ strengths, limitations, and potential biases. While a summary disclosure may suffice for students, comprehensive details should be accessible for departmental review and external examiners.
The guidelines further emphasize informed assessor autonomy and professional development. Assessors retain the discretion to decide whether and how to incorporate AI tools into their assessment processes. This autonomy, however, must be exercised with careful consideration for pedagogical effectiveness, student equity, and adherence to established best practices. It is also incumbent upon assessors and markers to familiarize themselves with best practices and the general capabilities of AI. The article underscores that challenges to academic judgment will not be accepted, in line with standard university regulations.
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In summary, the framework presented by Times Higher Education advocates for a thoughtful and ethical approach to AI in education, positioning it as a tool to purposefully enhance learning. The emphasis is on AI augmenting human capabilities rather than replacing them, ensuring that human oversight and ethical considerations remain paramount in its adoption within educational assessment.
