Archives for Explainable AI - Page 2

16 Nov

Council Post: Building Human-In-The-Loop Systems

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The increasing performance and integration of AI in the workplace have been accompanied by increasing complexity in the models. Models, by definition, are a subset of the real world. This means that there will be some relevant external context that is not a part of the model—this truth is expandable to AI models as well. …
02 Jun

Debunking Common Myths About Artificial Intelligence

“From three to eight years we will have a machine with the general intelligence of an average human being,” said Marvin Minsky, the founder of MIT’s AI Lab, in 1970. Five decades later, artificial general intelligence (AGI) remains a distant dream. Hyperoptimism, misinformation, and exaggerations in popular media often bred several misconceptions regarding AI. Some…

The post Debunking Common Myths About Artificial Intelligence appeared first on Analytics India Magazine.

13 May

7 Free Resources To Learn Explainable AI

Explainable AI (XAI) is key to establishing trust among users and fighting the black-box nature of machine learning models. In general, XAI enhances accountability and reliability in machine learning models. For a long time, tech giants like Google, IBM and others have poured resources on explainable AI to explain the decision-making process of such models. …

The post 7 Free Resources To Learn Explainable AI appeared first on Analytics India Magazine.