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SC

Scott Clark

05/23/25

@ a16z

The behavior of AI systems is not just about what they produce but also how they produce it, which can significantly impact user trust.

Video

a

Building AI Systems You Can Trust

@ a16z

05/23/25

Related Takeaways

SC

Scott Clark

05/23/25

@ a16z

Trust in AI systems is becoming more critical than raw performance, as users need to feel confident in the reliability and consistency of these systems.

SC

Scott Clark

05/23/25

@ a16z

The importance of trust in AI systems is growing, as users need assurance that these systems will behave reliably and consistently.

SC

Scott Clark

05/23/25

@ a16z

Trust in AI systems involves verifying their reliability and consistency, which is crucial for user acceptance and enterprise success.

YC

Y Combinator Cast

09/22/23

@ Y Combinator

Trust in AI requires more than just improved accuracy metrics; it involves understanding the nuances of human trust and ensuring that AI technology is developed with user needs in mind.

AB

Andrew Bosworth

04/24/25

@ a16z

The AI landscape will require trust in the AI providers, as consumers will be influenced by the best experiences rather than brand names.

SC

Scott Clark

05/23/25

@ a16z

The challenge of ensuring AI systems do not exhibit undesired behaviors is more complex than simply achieving high performance metrics.

CO

Christopher O'Donnell

04/01/25

@ Sequoia Capital

We need to manage transparency and control while using AI, ensuring users can trust the AI's actions on their behalf.

OP

Olivier Pomel

06/14/24

@ The Logan Bartlett Show

Incorporating AI into workflows presents challenges, particularly in building trust with users and ensuring that AI helps them progress rather than causing frustration.

SC

Scott Clark

05/23/25

@ a16z

The main issue preventing people from gaining value from AI systems isn't performance optimization; it's the ability to confidently trust these systems.