# chatbot behavior

Published articles for chatbot behavior.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## 3 Questions: Neural transparency and the future of AI design

DevFeed: [3 Questions: Neural transparency and the future of AI design](<https://devfeed.tech/articles/3-questions-neural-transparency-and-the-future-of-ai-design-37938.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/3-questions-neural-transparency-and-future-of-ai-design-0715>)

Author: Media Lab

Published: 2026-07-15T20:25:00Z

Content type: article

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Neural Network](<https://devfeed.tech/topics/neural-network.md>), [User Interfaces](<https://devfeed.tech/topics/user-interfaces.md>), [interface](<https://devfeed.tech/topics/interface.md>), [Language models](<https://devfeed.tech/topics/language-models.md>)

Tags: [3-questions](<https://devfeed.tech/tags/3-questions.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-companion](<https://devfeed.tech/tags/ai-companion.md>), [ai-empathy](<https://devfeed.tech/tags/ai-empathy.md>), [ai-hallucinations](<https://devfeed.tech/tags/ai-hallucinations.md>), [ai-personalization](<https://devfeed.tech/tags/ai-personalization.md>), [ai-safety](<https://devfeed.tech/tags/ai-safety.md>), [ai-sycophancy](<https://devfeed.tech/tags/ai-sycophancy.md>), [ai-toxicity](<https://devfeed.tech/tags/ai-toxicity.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [anthony-baez](<https://devfeed.tech/tags/anthony-baez.md>), [apps](<https://devfeed.tech/tags/apps.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [behavioral-prediction](<https://devfeed.tech/tags/behavioral-prediction.md>), [character-ai](<https://devfeed.tech/tags/character-ai.md>), [chatbot-behavior](<https://devfeed.tech/tags/chatbot-behavior.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [data](<https://devfeed.tech/tags/data.md>), [ethics](<https://devfeed.tech/tags/ethics.md>), [faculty](<https://devfeed.tech/tags/faculty.md>), [human-ai-interaction](<https://devfeed.tech/tags/human-ai-interaction.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [interface](<https://devfeed.tech/tags/interface.md>), [interview](<https://devfeed.tech/tags/interview.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [large-language-models](<https://devfeed.tech/tags/large-language-models.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [mechanistic-interpretability](<https://devfeed.tech/tags/mechanistic-interpretability.md>), [media-lab](<https://devfeed.tech/tags/media-lab.md>), [mental-health](<https://devfeed.tech/tags/mental-health.md>), [mit-faculty-interview](<https://devfeed.tech/tags/mit-faculty-interview.md>), [mit-media-lab](<https://devfeed.tech/tags/mit-media-lab.md>), [neural](<https://devfeed.tech/tags/neural.md>), [neural-transparency](<https://devfeed.tech/tags/neural-transparency.md>), [pat-pataranutaporn](<https://devfeed.tech/tags/pat-pataranutaporn.md>), [persona-scores](<https://devfeed.tech/tags/persona-scores.md>), [persona-vectors](<https://devfeed.tech/tags/persona-vectors.md>), [personalized-ai](<https://devfeed.tech/tags/personalized-ai.md>), [research](<https://devfeed.tech/tags/research.md>), [safety](<https://devfeed.tech/tags/safety.md>), [school-of-architecture-and-planning](<https://devfeed.tech/tags/school-of-architecture-and-planning.md>), [sheer-karny](<https://devfeed.tech/tags/sheer-karny.md>), [sunburst-visualization](<https://devfeed.tech/tags/sunburst-visualization.md>), [technology-and-society](<https://devfeed.tech/tags/technology-and-society.md>), [transparency](<https://devfeed.tech/tags/transparency.md>), [users](<https://devfeed.tech/tags/users.md>)

### AI overview

An MIT Media Lab team introduces "neural transparency," an interface that visualizes internal patterns in AI models to help users anticipate how personalized chatbots may behave. The approach compares model activations associated with contrasting traits such as empathy, honesty, toxicity, hallucination, and sycophancy, then maps custom system prompts onto those behavior directions.

### Source excerpt

Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.