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Building Responsible AI: How To Combat Bias And Promote Equity [Forbes]

WPP plc American Depositary Shares (WPP)

US:NYSE Investor Relations: wpp.com/wpp/investor/financialnews

But as we know, with great power comes great responsibility! When it comes to AI, it's the responsibility of those who build it and those who use it to ensure it's done in a way that minimizes the risk of causing harm. And one of the most pressing challenges here is reducing the damage caused by bias in AI. So here I'll overview what we mean when we talk about AI bias, as well as discuss examples where this has caused real problems. Then I'll take a look at some of the steps that businesses and us as individuals can take to ensure we're using AI in a responsible and trustworthy way. What Is AI Bias And Why Is It A Problem? AI bias can be caused by either bias that is present in data, or bias that is present in the algorithms that process data. Bias often occurs in data when it is collected in a non-representative way – for example, by failing to ensure that there is an adequate balance between genders, age groups or ethnic groups in the sample. It can be introduced to algorith Show less Read more

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Event Day Stock performance from the time of news release until the following 4pm ET market close	Last price at news event	Since Event Multi-day stock performance from the time of the news release
EVENT DAY Stock performance from the time of news release until the following 4pm ET market close	LAST PRICE AT NEWS EVENT	SINCE EVENT Multi-day stock performance from the time of the news release
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Building Responsible AI: How To Combat Bias And Promote Equity [Forbes]

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