How to design algorithms with fairness in mind
The Future of Everything
00:00
Is Your Data Faulty?
When you're making these predictions, it's often currently the AI, the machine learning systems are often based on existing historical data. And then what many people have recognized is that historical data may have embedded bias and unfairness because of social structures. So how do you think about those issues? I just wanted to grab it because this was a great example for where the data could really not serve you well.
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