As businesses recognize the need for enhanced digital capabilities and build out more robust and advanced data science teams, AI is one of the areas being most heavily invested in. It is viewed within many organizations as a potential panacea: How will I forecast demand, make business recommendations, or combat customer churn? AI. How will I detect fraud, make a lending decision, or optimize costs? AI. But, before putting AI into production, many concepts need to be understood to ensure your AI is transparent, accountable, ethical, and reliable.
In this article, our AI explainer videos will dive into some of these concepts to help you understand the meaning behind the hype.
Shapley Values
The Shapley value is an attribution method from Cooperative Game Theory dating back to 1951. The basic concept is centered around how to fairly distribute surplus value across a coalition of all ‘players’ who contributed to the overall collective gain, assuming they all contributed at varying levels. The Shapley value was developed by Lloyd Shapley, who later won the Nobel Prize in Economics, and has been a popular tool in economics for decades. In this video, we discuss Shapley values as an attribution method:
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