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Could a social robot collaboratively exchange stories with children as a peer and help improve their linguistic and storytelling skills? ...
Young Learner's Companion Developing robots' growth mindset and pro-curious behavior and fostering the same in young learners via lo...
A learning framework for secure, decentralized, computationally efficient data and model sharing among multiple robot units installed at...
Realtime detection of social cues in children’s voicesIn everyday conversation, people use what are known as backchannels to signal to so...
Machine learning model outperforms human judgementOur computational trust model is capable of predicting—above human accuracy—the degree ...
We present Norman, world's first psychopath AI. Norman was inspired by the fact that the data used to teach a machine learning algorithm ...
The Humanizing AI in Law (HAL) project aims to build the technical and legal foundations necessary to establish a due-pro...
Phase 3 clinical trial outcomes used to evaluate new drugs, therapies and vaccines are among the most complex experiments performed in me...
Cynthia Breazeal, MIT associate professor of media arts and sciences, describes her research on social and emotional intelligence.
A case study implemented by Inioluwa Raji under the guidance of Joy Buolamwini
The Shelley Project studies how to produce horror stories as a result of collaboration between humans and artificial intelligence.
Adoption of self-driving, Autonomous Vehicles (AVs) promises to dramatically reduce the number of traffic accidents, but some inevitable ...
BayesDB is open-source AI software that lets any programmer answer data analysis questions in seconds or minutes with a level of rigor th...
Take control of your social feed.Gobo is a social media aggregator with filters you control. You can use Gobo to control what’s edited ou...
“So, what do you study?” Uber drivers, doctors, airplane seat-mates—they all want to know. I often envy my husband, a PhD student in Cour...
www.ajlunited.orgAn unseen force is rising—helping to determine who is hired, granted a loan, or even how long someone spends in prison. ...
The Gender Shades project pilots an intersectional approach to inclusive product testing for AI.Algorithmic Bias PersistsGender Shades is...
The CivilServant project supports online communities to run their own experiments on the effects of moderation practices on antisocial be...
Zhang, Yan. “CityMatrix – An Urban Decision Support System Augmented by Artificial Intelligence.” Massachusetts Institute of Technology, 2017.
TuringBox is a platform that makes it easier for social and behavioral scientists to study Artificial Intelligence algorithms. ...
We cannot certify that an AI agent is ethical by looking at its source code.
"A model of textual affect sensing using real-world knowledge," a 2003 paper by Fluid Interfaces alum Hugo Liu and former ...
“The goal is to have a companion that has all of the behaviors that we want to instill and promote in the child”
This project will support social scientists, philosophers, and policy and legal scholars who undertake research that aims to impact how a...
All people are created equal, but in the eyes of the algorithm, not all faces are just yet.A new study from MIT and Microsoft r...
Advancing Wellbeing
A new review of face recognition software found that, when identifying gender, the software is most accurate for men with light skin...
The medical profession has an ethic: First, do no harm.Silicon Valley has an ethos: Build it first and ask for forgiveness late...
Examination of facial-analysis software shows error rate of 0.8 percent for light-skinned men, 34.7 percent for dark-skinned women.
New research out of MIT’s Media Lab is underscoring what other experts have reported or at least suspected before: facial recognition tec...
An AI algorithm can predict which parts of a film will generate the greatest emotional responses in audiences.
How to distill meaning from complex everyday experiences.
Since Alan Turing envisioned Artificial Intelligence (AI), a major driving force behind technical progress has been competition with huma...
Jacob W. Crandall, Mayada Oudah, Tennom, Fatimah Ishowo-Oloko, Sherief Abdallah, Jean-François Bonnefon, Manuel Cebrian, Azim Shariff, Michael A. Goodrich , Iyad Rahwan . Nature Communications, 2018.
Researchers want to know what images make us feel more attached to other people. They call their project “Deep Empathy.”
There are over one million registered charities in the United States alone, and many more worldwide. How do you choose among them? M...
Project website: shelley.ai Human-AI collaborated stories: stories.shelley.ai Follow @shelley_ai to collaborate ...
At UNICEF Innovation, we’re supporting our partners to help build models that give us a better understanding of empathy. We hear in the n...
Research scientist Manuel Cebrian discusses Shelley with CNN en Español host Andrés Oppenheimer.
New research can predict how plots, images, and music affect your emotions while watching a movie.
Computers don’t cry during sad stories, but they can tell when we will.
Artificial intelligence (AI) may not be ready to write the next blockbuster movie, but a team of AI researchers from the Massachuset...
How well have humans adapted to the current climate, and how will we adapt to new climate complexities?This week, the Climate Conversatio...
They are reading to kids, singing lullabies to them and even taking naps with them. Artificial Intelligence (AI) toys are coming into our...
…We may have helped create the AI monster here in the Hub, but it turns out we’re also the ones fighting to keep it on a leash, with a Ju...
This October, MIT celebrated the inaugural MIT Legal Forum on AI & Blockchain which aimed to provide a space in which legal professio...
It’s long been clear that urbanization and automated technologies are shaping society, but it hasn’t been obvious how the two forces affe...
What would your city look like after a disaster? Deep Empathy is a collaboration between the Scalable Coope...
At EmTech 2017, Iyad Rahwan discusses how can we anticipate and respond to major disruptions from artificial intelligence, the web, and s...
At EmTech 2017, Iyad Rahwan discussed artificial intelligence, urbanization, and the future of work with MIT Technology Review senior edi...
At EmTech 2017, Deb Roy discusses how insights gained from big data and machine learning can help us monitor the social impact of new tec...
TreeSense, a sensory VR experience that allows users to experience the full lifecycle of a tree, was featured in the Global Grad Sh...
“Shelley” is an artificial intelligence bot who writes stories inspired by a subreddit of aspiring horror writers.
Sometimes the scariest place to be is your own mind. Or Reddit at night.Shelley is an AI program that generates the beginnings of horror ...
Shelley's artificial neural network takes turns with humans in collaborative storytelling.
With its increasingly humanlike design, artificial intelligence gives many people the creeps—though usually not intentionally. But a new ...
An artificial intelligence is creating worlds where possessed dolls and other creatures chase after frightened, helpless h...
With Shelley, the world’s first artificial intelligence-human horror story collaboration, MIT researchers aim for goosebumps.
Introducing Shelley: the world’s first AI-human horror story collaboration
Emotion recognition modeled as a goal-directed process!
Jin Joo Lee. Modeling the Dynamics of Nonverbal Behavior on Interpersonal Trust for Human-Robot Interactions. Masters Thesis, Massachusetts Institute of Technology, 2011.
JJ Lee, WB Knox, JB Wormwood, C Breazeal, D DeSteno (2013). Computationally Modeling Interpersonal Trust. Frontiers in Psychology.
Jin Joo Lee. A Bayesian Theory of Mind Approach to Nonverbal Communication for Human-Robot Interactions. PhD Thesis, Massachusetts Institute of Technology, 2017.
The robot takeover will start in the smaller cities.
Ritesh Noothigattu, Snehalkumar 'Neil' S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia
Iyad Rahwan on the trust gap between people and autonomous vehicles.
This project aims to bridge the current gap between controlled-environment agriculture and the computer vision and robotics fields. The i...