Innovation Management Module 7 Trust in AI

Pataasin ang iyong marka sa homework at exams ngayon gamit ang Quizwiz!

Arms race in AI

Ai security vs skill of adversarial attack

Main Limitations of AI

Bias Adversarial attack

Why does AI bias matter

‒ Hiring tool that discriminated against women ‒ Facial recognition working better for light-skinned than dark-skinned individuals ‒ Bank loan approvals ‒ Dangerous effect of reinforcing unhealthy stereotype

How to generate trust in AI

‒ Importance of data ‒ Correct selection ‒ High quality data ‒ Maintenance to counter model drift ‒ Building the right system ‒ Trade-off between simple systems and complex deep learning-based systems (?) ‒ Black boxes ‒ System design choices ‒ Cognitive and emotional trust ‒ Technical capabilities and form of AI representation

How to combat biases

‒ Technical solutions ‒ E.g., "zero out" the bias in words ‒ Use less biased and / or more inclusive data ‒ Transparency and / or auditing processes ‒ Diverse workforce ‒ Creates less biased applications

Goldilocks Rule

‒ Too optimistic: Sentient / super-intelligent AI Killer robots coming soon ‒ Too pessimistic: AI cannot do everything Another AI winter is coming ‒ Just right: AI can't do everything But it will transform industries


Kaugnay na mga set ng pag-aaral

Metals, Nonmetals, and Metalloids

View Set

Biology Exam 1 End of Chapter Qs

View Set

4.4 Compare and contrast remote access methods and security implications.

View Set

what does the following equation represent

View Set