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Engineerable AI Project

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The Engineerable AI Project is focused on creating dependable AI systems for critical fields such as healthcare and autonomous driving, addressing challenges in machine learning dependency on data and controlling system behavior. The project explores methodologies to incorporate human knowledge into AI systems, aiming to build technology that addresses nuanced needs for AI, particularly in sectors where reliability is crucial. Ongoing research includes proof of concepts in the realms of health care and autonomous driving, leveraging the concept of Engineerable AI to tackle the issues of data scarcity and unpredictable system behavior during updates.

Platform
Web
Keywords
machine learninghealthcareautonomous drivingengineerable aidependable systems
Task
ai development
Features

focus on dependable ai systems

proof of concept in healthcare and autonomous driving

addressing unpredictable system behavior

exploration of human knowledge incorporation

research on data dependency issues

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