Algorithms today are AI-based, adaptive, agile, and smart. When we test them, we give feedback to the developers that change the algorithm to overcome us! That means we have to be smarter and more aware so that we don’t get tricked!

Takeaways from your talk:

• Key differences between AI and Algorithms vs. Software testing
• Data snooping, overfitting, and the importance of a hidden benchmark
• Weaknesses vs. Bugs – how to maintain and track them
• Verification vs. Validation and the different tools for each task (in this case)