Articles
Conflict is inevitable, whether it's in the digital as well as the physical workplace. Here's how leaders can stay one step ahead of potential trouble spots.
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AI and machine-learning algorithms promise to sort through applicants faster, but this speed can come at a cost without proper oversight.
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Technology and marketing experts recommend the following four ways to eliminate or at least minimize bias in AI.
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Recency bias is an underappreciated challenge in data analytics, particularly when historical data is used to draw trends and make predictions.
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Multicultural marketing has been gaining popularity in order to prevent unconscious bias and potential discrimination in marketing campaigns.
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The diverse use cases for AI raise ethical and moral questions about how technology is used in a fair and just manner.
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The essential first step in combating biases is recognizing our own fallibility, our own biases.
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It’s pretty obvious that IT has an age problem. Actually, let's just call it a bias problem in general.
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Pinning your hopes on a killer feature to save your product means your roadmap has lost its way or maybe wasn't on the right path from the get-go.
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Here are some lesser know measures a company can take to make sure their artificial intelligence driven applications don't embarrass their brand.
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AI and machine learning are on their way to helping organizations eliminate bias in their hiring but big challenges still remain
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Persuading rational people to make rational decisions is easy.
Unfortunately, as humans, we’re often stuck with irrational thinking, fueled by cognitive biases and emotions.
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