Artificial Intelligence (AI) laboratories may also do the following tests:

Algorithm Validation: Ensuring the accuracy Testing
reliability Testing
and fairness of AI algorithms through rigorous testing Testing
Performance Benchmarking: Comparing AI systems against standard datasets to evaluate their effectiveness and efficiency Testing
Security Testing: Identifying vulnerabilities in AI systems that could be exploited through cyber attacks Testing
Ethical and Bias Assessment: Analyzing AI applications for potential biases and ethical concerns Testing
ensuring they align with societal values Testing