Archives des Human-computer interaction

Study shows vision-language models can’t handle queries with negation words
15 Mai
Merging design and computer science in creative ways
15 Mai
3D modeling you can feel
15 Mai
Pattie Maes receives ACM SIGCHI Lifetime Research Award
15 Mai
Robotic helper making mistakes? Just nudge it in the right direction
15 Mai
Introducing the MIT Generative AI Impact Consortium
15 Mai
MIT students’ works redefine human-AI collaboration
15 Mai
Explained: Generative AI’s environmental impact
15 Mai
Teaching AI to communicate sounds like humans do
15 Mai
MIT welcomes Frida Polli as its next visiting innovation scholar
15 Mai
Study reveals AI chatbots can detect race, but racial bias reduces response empathy
15 Mai
Researchers reduce bias in AI models while preserving or improving accuracy
15 Mai
Enabling AI to explain its predictions in plain language
15 Mai
Daniela Rus wins John Scott Award
15 Mai
Citation tool offers a new approach to trustworthy AI-generated content
15 Mai
A model of virtuosity
15 Mai
Can robots learn from machine dreams?
15 Mai
3 Questions: Inverting the problem of design
15 Mai
A portable light system that can digitize everyday objects
15 Mai
Despite its impressive output, generative AI doesn’t have a coherent understanding of the world
15 Mai
Making it easier to verify an AI model’s responses
15 Mai
AI simulation gives people a glimpse of their potential future self
15 Mai
MIT launches new Music Technology and Computation Graduate Program
15 Mai
3 Questions: Should we label AI systems like we do prescription drugs?
15 Mai
Study: AI could lead to inconsistent outcomes in home surveillance
15 Mai
Study: Transparency is often lacking in datasets used to train large language models
15 Mai
First AI + Education Summit is an international push for “AI fluency”
15 Mai
MIT researchers use large language models to flag problems in complex systems
15 Mai
Method prevents an AI model from being overconfident about wrong answers
15 Mai
Study: When allocating scarce resources with AI, randomization can improve fairness
15 Mai
Large language models don’t behave like people, even though we may expect them to
15 Mai
How to assess a general-purpose AI model’s reliability before it’s deployed
15 Mai
When to trust an AI model
15 Mai
“They can see themselves shaping the world they live in”
15 Mai
Mouth-based touchpad enables people living with paralysis to interact with computers
15 Mai
School of Engineering welcomes new faculty
15 Mai
Using ideas from game theory to improve the reliability of language models
15 Mai

Study shows vision-language models can’t handle queries with negation words

Merging design and computer science in creative ways

3D modeling you can feel

Pattie Maes receives ACM SIGCHI Lifetime Research Award

Robotic helper making mistakes? Just nudge it in the right direction

Introducing the MIT Generative AI Impact Consortium

MIT students’ works redefine human-AI collaboration

Explained: Generative AI’s environmental impact

Teaching AI to communicate sounds like humans do

MIT welcomes Frida Polli as its next visiting innovation scholar

Study reveals AI chatbots can detect race, but racial bias reduces response empathy

Researchers reduce bias in AI models while preserving or improving accuracy

Enabling AI to explain its predictions in plain language

Daniela Rus wins John Scott Award

Citation tool offers a new approach to trustworthy AI-generated content

A model of virtuosity

Can robots learn from machine dreams?

3 Questions: Inverting the problem of design

A portable light system that can digitize everyday objects

Despite its impressive output, generative AI doesn’t have a coherent understanding of the world

Making it easier to verify an AI model’s responses

AI simulation gives people a glimpse of their potential future self

MIT launches new Music Technology and Computation Graduate Program

3 Questions: Should we label AI systems like we do prescription drugs?

Study: AI could lead to inconsistent outcomes in home surveillance

Study: Transparency is often lacking in datasets used to train large language models

First AI + Education Summit is an international push for “AI fluency”

MIT researchers use large language models to flag problems in complex systems

Method prevents an AI model from being overconfident about wrong answers

Study: When allocating scarce resources with AI, randomization can improve fairness

Large language models don’t behave like people, even though we may expect them to

How to assess a general-purpose AI model’s reliability before it’s deployed

When to trust an AI model

“They can see themselves shaping the world they live in”

Mouth-based touchpad enables people living with paralysis to interact with computers

School of Engineering welcomes new faculty

Using ideas from game theory to improve the reliability of language models