To support the safety of highly-capable AI systems, we are developing our approach to catastrophic risk preparedness, including building a Preparedness team and launching a challenge.
Frontier risk and preparedness
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- Computer Science and Artificial Intelligence Laboratory (CSAIL)
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- MIT-IBM Watson AI Lab
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Looking for a specific action in a video? This AI-based method can find it for you
A new approach could streamline virtual training processes or aid clinicians in reviewing diagnostic videos.
Study: When allocating scarce resources with AI, randomization can improve fairness
Introducing structured randomization into decisions based on machine-learning model predictions can address inherent uncertainties while maintaining efficiency.
How AI Helps to Prevent Food Waste
The food and beverage industry has undergone a significant transformation in response to changing consumer demands. Consumers now expect fast, affordable, and easily accessible food options, leading to a surge in innovative startups and tech collaborations. In this dynamic market environment, companies must adopt cutting-edge technologies such as Artificial Intelligence (AI) and Machine Learning (ML) solutions to stay relevant, manage waste, and scale-up operations. Food waste is a significant concern in the industry, with nearly 30-40% of food waste being eliminated at the retail and consumer levels, equating to USD 161 billion worth of food in 2010. Transportation, storage, and […]