What are the main challenges of using AI in assessment?

What are the main challenges of using AI in assessment?

Some key challenges include bias in algorithms, data privacy concerns, and the need for transparency in decision-making.

How can bias in AI assessments be mitigated?

Bias can be mitigated by using diverse training data, regular audits of AI systems, and involving human oversight in assessments.

What role does data privacy play in AI assessments?

Data privacy is crucial as it involves handling sensitive information. Ensuring compliance with regulations like GDPR is essential.

Can AI assessments be trusted completely?

While AI can enhance assessments, complete trust is not advisable. Human judgment should complement AI insights.

What future developments could improve AI in assessment?

Future developments may include better algorithms, enhanced data security measures, and more robust ethical guidelines.