New AI Research Teaches Machines to Say 'I Don't Believe That'
This could make AI chatbots more honest about what they don't know.
The source text provided does not contain any information about AI uncertainty, "negative ranking functions," or AI performance in health, finance, or everyday questions — so none of those claims can be carried over.
What the source actually says: arXivLabs is a framework that lets collaborators develop and share new arXiv features directly on the arXiv website. Both individuals and organizations working with arXivLabs have embraced and accepted arXiv's values of openness, community, excellence, and user data privacy. arXiv says it is committed to these values and works only with partners that adhere to them. Anyone with an idea for a project that would add value for arXiv's community is pointed to learn more about arXivLabs.
- Researchers propose a new method called 'negative ranking functions' to help AI measure its own disbelief.
- This could make AI more honest about uncertainty, reducing confident mistakes in areas like health and finance.
- It's early-stage research, not yet available in consumer products, but it points toward more trustworthy AI.
Why It Matters
More honest AI could prevent costly errors and make AI safer for everyday decisions.