banking and finance
internet of things
point of care
sports and fitness
natural language processing
Is it possible to experience being another life form? Created by Yedan Qian (Umeå Institute of Design) and Xin Liu from the Flu...
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...
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.
Unconventional mixing of research fields introduces a new method to study human behavior using social robots.
Creating long-term interpersonal interaction and shared experiences with social robots. Many of our current projects explore the use of s...
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...
The Moral Machine is a platform for gathering a human perspective on moral decisions made by machine intelligence, such as self-driving c...
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...
Presenting RFind, a new technology that allows us to locate almost any object with extreme accuracy by transforming low-cost, battery-fre...
“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...
Today’s health sensors (which monitor breathing, heartbeats, steps, etc.) require their users to wear them on their bodies. In contrast, ...
Recent rapid advances in Artificial Intelligence (AI) and Machine Learning have raised many questions about the regulatory and governance...
A $27 million fund aimed at applying artificial intelligence to the public interest has announced the first targets for its beneficence: ...
The Ethics and Governance of Artificial Intelligence Fund today announced $7.6 million in support to nine organizations that aim to bolst...
Given the cross-border impact of AI and related technologies, what are appropriate and workable governance mechanisms that can operate at...
“Unlike humans, these machine algorithms are much harder to interrogate because you don’t actually know what they know,” says Joi Ito.
Video: AI for all, not just a few.
Debating the ethics of AI-enabled marketing.
Opinion aggregation on social media uses various mechanisms, such as "Likes" or thumbs-up/-down, which handle a single item at a time. I...
Awad, Edmond (2017). Moral Machine: Perception of Moral Judgment Made by Machines (Master's Thesis).
Apple CEO Tim Cook meets with head of the Affective Computing group Rosalind Picard
What do children think about machines that think?
There is a deep fear that human jobs will be replaced by AI. Rather than racing against the machines, our aim is to show that a human-AI ...
The Electome: Where AI Meets Political JournalismThe Electome project is a machine-driven mapping and analysis of public sphere content a...