How to create trust in artificial intelligence by using open source software – Opening up the ‘black box’ helps remove uncertainties about AI outcomes

Open source supports many methods and applications that can lead to better trust in AI systems. In the linked article below, they explore some of those open source projects as well as the open source mentality, and how by becoming part of the open source community, you can gain more trust in your AI.

These projects help to build trust in AI systems by explaining the black box model and introspecting decision-making. By open sourcing projects such as this, we can ensure confidence in the system due to the openness of the predictive modelling process. It can give stakeholders confidence that the model is correct and that its recommendations can be trusted, so there is less business risk.

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Artificial intelligence (AI) is being used more frequently in our daily lives, with systems such as Siri and Alexa becoming commonplace in many households. Many households themselves are "smart," powered by devices that can control your lights, heating and air, and even the music playing. And those music players are powered by AI that recommends songs and artists you may like.