Startup Truera attempts to shine a light into the black box of AI to give visibility into how the model arrives at its recommended decisions. (Credit: Getty Images)
By AI Trends Staff
In the black box problem in machine learning, data goes in, suggested decisions come out, and how the model arrived at its suggestions may or may not be explainable. This problem intrigued Prof. Anupam Datta of Carnegie Mellon University, who in 2014 with his PhD student Shayak Sen began researching explainable AI. At the same time, Will Uppington was among the founders at Bloomreach, which was trying to make …
Related posts:
"The Power of AI in Business and Entrepreneurship: Unlocking Opportunities and Driving Success"
"The Power of AI: Revolutionizing Business and Empowering Entrepreneurs"
Seeking a way of preventing audio models for AI machine learning from being fooled
System recognizes hand gestures to expand computer input on a keyboard
