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For centuries, across geographies, religions, and cultures, people have innovated ways of scaring each other. Creating a visceral emotion...
Transforming data into knowledge
Extending expression, learning, and health through innovations in musical composition, performance, and participation
A social robot modifies its behavior to change what you think about it!
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.
Machine learning model outperforms human judgement!
Jin Joo Lee. A Bayesian Theory of Mind Approach to Nonverbal Communication for Human-Robot Interactions. PhD Thesis, Massachusetts Institute of Technology, 2017.
Realtime detection of social cues in children’s voices!
Collecting real world data to understand social interactions!
The problem of ethical decision making presents a grand challenge for modern AI research. Arguably the main obstacle to automating ...
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
Building socially engaging robots and interactive technologies to help people live healthier lives, connect with others, and learn better
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...
Advancing wellbeing using new ways to communicate, understand, and respond to emotion
Seamlessly coupling the worlds of bits and atoms by giving dynamic physical form to digital information and computation
Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
Understanding and empowering human networks
Advancing Wellbeing
Creating technology for social change
Can social robots collaboratively exchange stories with children as a peer and help improve their linguistic and storytelling skills? Teg...
Extending human and computer abilities in sensing, communication, and actuation through signals and networks
The VerifAI project aims to build the technical and legal foundations necessary to establish a due process framework for auditing a...
Ethics and Governance of Artificial Intelligence
Reimagining the way society organizes, cooperates, and governs itself
Today’s health sensors (which monitor breathing, heartbeats, steps, etc.) require their users to wear them on their bodies. In contrast, ...
Revealing insights into the human condition and repairing brain disorders via novel tools for mapping and fixing brain computations
Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection
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, created in part by the Omidyar Network, Knight Foundation, and LinkedIn founde...
The Ethics and Governance of Artificial Intelligence Fund today announced $7.6 million in support to nine organizations that aim to bolst...
The Moral Machine is a platform for gathering a human perspective on moral decisions made by machine intelligence, such as self-driving c...
BayesDB is open-source AI software that lets any programmer answer data analysis questions in seconds or minutes with a level of rigor th...
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.
The CivilServant project supports online communities to run their own experiments on the effects of moderation practices on antisocial be...
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).
Creating long-term interpersonal interaction and shared experiences with social robots. Many of our current projects explore the use of s...
Apple CEO Tim Cook meets with head of the Affective Computing group Rosalind Picard
What do children think about machines that think?
A growth mindset and curiosity have significant impact on children's academic and social achievements. We are developing and evaluating a...
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 ...
This exciting concept exhibition which is the 4th concept exhibition of the imaginarium of technology series will explore the practical p...
This project will support social scientists, philosophers, and policy and legal scholars who undertake research that aims to impact how a...
Hae Won Park, Rinat Rosenberg-Kima, Maor Rosenberg, Goren Gordon, and Cynthia Breazeal. 2017. Growing Growth Mindset with a Social Robot Peer. In Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction (HRI '17). ACM, New York
Graeff, E. 2013. ‘What We Should Do Before the Social Bots Take Over: Online Privacy Protection and the Political Economy of Our Near Future.’ Presented at Media in Transition 8: Public Media, Private Media, MIT, Cambridge, May 5.
For centuries, across geographies, religions, and cultures, people try to innovate ways of scaring each other. Creating a visceral emotio...
Adoption of self-driving, Autonomous Vehicles (AVs) promises to dramatically reduce the number of traffic accidents, but some inevitable ...
CE 2.0
How we can understand human behavior (rationality, semi-rationality, bounded rationality, and just plain irrationality) in day-to-day behaviors, and in particular in electronic environments.