Research · 2026-10-06

Where AI Gets It Wrong and Why Mistakes Are Useful

Microsoft Research researcher Jennifer Neville talks about how she came to computer science and why she studies the unexpected mistakes that make it hard for AI to handle complex tasks.

✨ Unexpected Career

Jennifer Neville did not originally plan to work in computer science, but she eventually ended up in this field. On the Microsoft Research podcast, she talks about her path, with its stops and turns that led her to the work she enjoys most.

📌 Why AI Gets It Wrong

The main topic of the conversation is the “unexpected mistakes” of AI. Neville studies why AI can struggle with complexity, that is, with situations that may look simple to a human but turn out to be unpredictable for a machine.

Such mistakes matter because they show where the technology still needs improvement and why one should not rely entirely on AI without verification.

🔹 About This Story

This is a podcast from the Microsoft Research blog. If you are interested in how modern AI systems work and where they fall short, it is worth listening to the full conversation on the Microsoft website.

Sources: 🔗 Microsoft Research Blog