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If AI is to gain people’s trust, organisations should ensure they are able to account for the decisions that AI makes, and explain them to the people affected. Making AI interpretable can foster trust, enable control and make the results produced by machine learning more actionable. How can AI-based decisions therefore be explained?
Topics: AI, Data, Machine Learning, Responsible AI
Having information is key. Understanding the right information is a success.
And these are the two features where artificial intelligence seems to be winning over human capabilities in stock picking.
Topics: AI, Machine Learning, Financial Industry, Investment Funds
Artificial intelligence and machine learning are currently all the rage. Every organization is trying to jump on this bandwagon and cash in on their data reserves. At ThoughtWorks, we’d agree that this tech has huge potential — but as with all things, realizing value depends on understanding how best to use it.
Topics: Data, Data Science, Machine Learning
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