In the world of generative AI, where artificial intelligence plays a significant role in assessing student learning, the ethical dimension cannot be overstated. While AI can provide valuable insights and efficiencies, it should never replace the critical role of human oversight. Here, we explore the importance of human involvement in ethical AI assessment.

1. Contextual Understanding: AI, despite its advancements, lacks the nuanced understanding and empathy that humans possess. It may struggle to interpret the context in which a student’s work is created, potentially leading to incorrect assessments. Humans, on the other hand, can recognize unique circumstances, creativity, and the personal journey of each student.

2. Bias Mitigation: Human oversight is crucial for identifying and addressing bias in AI assessment systems. Even with the best intentions, AI models can inadvertently perpetuate biases present in training data. Humans can review and correct these biases, ensuring that assessments are fair and equitable for all students.

3. Ethical Decision-Making: AI operates based on algorithms and data, devoid of ethical judgment. Human evaluators can make ethical decisions when assessing student work, taking into account factors such as personal struggles, mental health challenges, or unconventional creativity. They can provide compassionate and fair evaluations that respect the complexity of human learning.

4. Feedback and Guidance: Human educators can offer invaluable feedback and guidance that goes beyond a numerical score. They can provide constructive criticism, encouragement, and mentorship, fostering a more holistic and supportive learning environment.

Incorporating AI into education can enhance assessment processes, but it should never replace the essential role of humans in understanding, mitigating bias, making ethical decisions, and providing personalized guidance. Ethical AI assessment in education requires a harmonious blend of artificial and human intelligence.