What are the limitations of AI in assessment?

What are the main limitations of using AI in educational assessments?

AI in assessments can struggle with understanding context, emotional nuances, and may not account for diverse learning styles.

Can AI accurately assess creative subjects like art or music?

AI can analyze patterns and techniques but often lacks the ability to appreciate subjective qualities like emotional depth.

How does bias affect AI assessments?

Bias in AI can lead to unfair assessments, as algorithms may reflect the prejudices present in their training data.

Are there any ethical concerns with AI in assessments?

Yes, ethical concerns include privacy issues, data security, and the potential for misuse of assessment results.

What can be done to improve AI assessments?

Improving AI assessments involves continuous training, incorporating diverse data, and ensuring human oversight in the evaluation process.