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Continue for Free. {Blackbox Extension} on Visual Studio Code. Download the VS Code Extension Today. Get Blackbox on VS Code. Watch Demo. Explainable AI (XAI) is the class of systems that provide visibility into how an AI system makes decisions and predictions and executes its actions. XAI explains the rationale for the decision-making process, surfaces the strengths and weaknesses of the process, and provides a sense of how the system will behave in the future. 1.Artificial intelligence is growing ever more powerful and entering people’s daily lives, yet often we don’t know what goes on inside these systems. Their non-transparency could fuel practical problems, or even racism, which is why researchers increasingly want to open this ‘black box’ and make AI explainable. 01 December 2020.Jun 13, 2023 · These combine to create the framework that constitutes a black box: Machine learning algorithms: Deep learning algorithms work by enabling AI to learn from data, identify patterns, and make decisions or predictions based on those patterns. Computational power: AI black boxes need significant computational power to process the large amounts of ...
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