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RC

Rumman Chowdhury

05/30/25

@ EO

Adversarial testing is a common practice where you verify the content generated by AI by questioning its accuracy and looking for missing information.

Video

E

How to Stop AI From Giving You Wrong Answers I Rumman Chowdhury, Humane Intelligence

@ EO

How to Stop AI From Giving You Wrong Answers I Rumman Chowdhury, Humane Intelligence

05/30/25

Related Takeaways

DR

Dr. Rumman Chowdhury

05/30/25

@ EO

Adversarial testing involves questioning AI outputs from multiple angles, as the AI will not tire or take offense, allowing for thorough exploration of its responses.

DR

Dr. Rumman Chowdhury

05/30/25

@ EO

When using AI, approach it with skepticism and ask probing questions to uncover its flaws.

a

a16z Cast

02/07/25

@ a16z

The future of AI will likely involve developing numerous routine tests to assess the truthfulness of generated content, similar to how image recognition evolved.

SN

Satya Nadella

04/17/25

@ Microsoft India

AI can assist in fact-checking and improving the accuracy of information, but we must also develop tools to verify AI outputs responsibly.

a

a16z Cast

05/23/25

@ a16z

Behavioral test coverage in AI applications allows teams to assess whether changes improve or degrade performance, similar to traditional software testing.

SC

Scott Clark

05/23/25

@ a16z

Testing is essential for ensuring that AI systems behave as expected, not just in terms of performance but also in their underlying behaviors.

JH

Jake Heller

10/04/24

@ Y Combinator

Our development process involved creating a series of tests to ensure that the AI could accurately respond to legal queries, which was crucial for its effectiveness in practice.

RC

Rumman Chowdhury

05/30/25

@ EO

Don't just trust everything that comes out of the AI system. Be critical of the content that's surfacing and ask your questions in different ways.

IS

Ion Stoica

05/29/25

@ a16z

Red Team Arena allows for real-world testing of AI models, where knowledgeable users can identify issues and ensure models behave as intended.