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Biased AI can be bad for your health – here's how to promote algorithmic fairness

Some AI systems make faulty assumptions about women and nonwhite men, which can lead to misdiagnoses. Overcoming this bias takes legal, regulatory and technical fixes. ....

United States , Ron Wyden , Cory Booker , Yvetted Clarke , Nelson Almeida , American Heart Association , Drug Administration , African American , Accountability Act , Senators Cory Booker , Algorithmic Accountability , Algorithmic Bias , Artificial Intelligence , Gender Discrimination , Racial Discrimination , ஒன்றுபட்டது மாநிலங்களில் , ரோன் வைடன் , கோரி புக்கர் , நெல்சன் அல்மேடா , அமெரிக்கன் இதயம் சங்கம் , பொறுப்பு நாடகம் , செனட்டர்கள் கோரி புக்கர் , அல்காரிதமிக் பொறுப்பு , அல்காரிதமிக் சார்பு , செயற்கை உளவுத்துறை , ஜெஂடர் பாகுபாடு ,

Biased AI Can Be Bad for Your Health

AI discrimination is a serious problem that can hurt many patients. ....

United States , Ron Wyden , Cory Booker , Yvetted Clarke , American Heart Association , Drug Administration , African American , Accountability Act , Senators Cory Booker , Algorithmic Accountability , ஒன்றுபட்டது மாநிலங்களில் , ரோன் வைடன் , கோரி புக்கர் , அமெரிக்கன் இதயம் சங்கம் , பொறுப்பு நாடகம் , செனட்டர்கள் கோரி புக்கர் , அல்காரிதமிக் பொறுப்பு ,

Google image search cements national stereotypes of ′racy′ women | Digital Culture | DW

Google image search cements national stereotypes of racy women
Women from eastern Europe and Latin America are sexy and love to date, a search through Google Images implies. A DW analysis reveals how the search engine propagates sexist cliches.
In Google image search results women of some nationalities are depicted with racy pictures, despite non-objectifying images existing
Google Images is the public face of everything: When you want to see what something looks like, you will probably just Google it. A data-driven investigation by DW that analyzed over 20,000 images and websites reveals an inherent bias in the search giant s algorithms. ....

United States , Dominican Republic , Krung Thep Mahanakhon , Czech Republic , Renata Avila , Tamara Zlobina , Joana Varon , Sirijit Sunanta , Stanford Institute For Human , Mhidol University , Google Images , Cloud Vision Safesearch , Cloud Vision , Latin American , Eastern Europe , Southeast Asia , South American , Southeast Asian , Western European , Soviet Union , Western Europe , Multicultural Studies , Google Search , Human Centered Artificial , Silicon Valley , Algorithmic Accountability ,

How We'll Conduct Algorithmic Audits in the New Economy

Informationweek
How Well Conduct Algorithmic Audits in the New Economy
Today s CIOs traverse a minefield of risk, compliance, and cultural sensitivities when it comes to deploying algorithm-driven business processes.
Image: Montri - stock.adobe.com
Algorithms are the heartbeat of applications, but they may not be perceived as entirely benign by their intended beneficiaries.
Most educated people know that an algorithm is simply any stepwise computational procedure. Most computer programs are algorithms of one sort of another. Embedded in operational applications, algorithms make decisions, take actions, and deliver results continuously, reliably, and invisibly. But on the odd occasion that an algorithm stings encroaching on customer privacy, refusing them a home loan, or perhaps targeting them with a barrage of objectionable solicitation stakeholders’ understandable reaction may be to swat back in anger, and possibly with legal action. ....

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Kangaroo Court: AI Regulation and Image Classification | Association of Certified E-Discovery Specialists (ACEDS)

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The next decade will witness the introduction of AI regulation at both the Federal and State level. Much of this regulation will focus on the use of autonomous and self-driving cars. In 2016 the Obama administration introduced a report on the future of artificial intelligence. The report summarized the status of AI in American society, economy, and government. It looked at specific applications, such as transportation and war fighting, and makes a series of nonbinding recommendations. This was followed in 2018 by the Trump administration’s Summit on Artificial Intelligence for American Industry, reviewing the Trump administration’s regulatory and policy to AI. ....

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