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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.

Video

a

Building AI Systems You Can Trust

@ a16z

05/23/25

Related Takeaways

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.

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.

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.

a

a16z Cast

05/29/25

@ a16z

The reliability of AI systems is a major concern as we transition from consumer applications to mission-critical systems like healthcare and defense.

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.

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.

YS

Yotam Segev

05/09/25

@ The Logan Bartlett Show

The introduction of AI challenges the foundational trust in institutions, as people may struggle to differentiate between human and AI interactions, impacting their trust in data security.