Mike Cummings, YaleNews; Can we trust AI models? Yale researchers explore the roots of chatbot errors
"The rapid rise of artificial intelligence (AI) has inserted a new character into people’s lives: the chatbot.
Individuals now engage with agentic AI chatbots to perform a growing number of tasks; They can help a person shop for a new laptop, manage email, or plan a vacation.
And while these interactions can save time and increase productivity, they also carry risk. Large language models (LLM) — the AI systems trained on massive datasets to generate human-like text — are imperfect. They hallucinate. They misinterpret. They make mistakes.
Two multidisciplinary teams of researchers associated with the Center for Algorithms, Data, and Market Design at Yale are pursuing projects that aim to balance the capability and safety of AI systems and improve interactions between users and AI models.
Yale News recently spoke with members of both teams about their research projects."
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