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Joanna Bryson, a computer scientist at the University of Bath and a co-author, said: These biases can have a profound impact on human behaviour. The latest results suggest that algorithms, unless explicitly programmed to address this, will be riddled with the same social prejudices.

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Japan which were transferred to Yahoo's successor company Altaba. Similar results were found when the same tools were trained on data from Google News. Aside from its headquarters in Sunnyvale, California, Yahoo has offices in multiple countries, provinces, and territories and, as of8, full-time employees around the worldsome 5, less than it had in As of NovemberYahoo websites cumulated more than million unique visitors per month, making Yahoo the second-most popular multi-platform web property in the United States, after Google and Facebook.

In contrast, we do not expect algorithms to lie or deceive us.

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Due to varying update cycles, statistics can display more up-to-date data than referenced in the text. The company was founded in by electrical engineering graduate students Jerry Yang and David Filo, as a directory of hierarchically organized websites.

In the past few years, the ability of programs such as Google Translate to interpret language has improved dramatically.

However, as machines are getting closer to acquiring human-like language abilities, they are also absorbing the deeply ingrained biases concealed within the patterns of language use, the latest research reveals. The company also provides advertising services, online mapping and video sharing and has also started to move into the social media sector when it acquired Tumblr in The company has grown rapidly ever since and made many high-profile acquisitionsbecoming one of the most well-known brands in the world, despite various ups and downs.

Yahoo also generates revenue from advertising through various programs and platforms, such as APT from Yahoo or Panama.

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Statista assumes no liability for the information given being complete or correct. As of FebruaryU. The latest paper shows that some more troubling implicit biases seen in human psychology experiments are also readily acquired by algorithms. Some argue that the natural next step for the technology may involve machines developing human-like abilities such as common sense and logic.

The findings suggest that algorithms have acquired the same biases that lead people in the UK and US, at least to match pleasant words and white faces in implicit association tests.

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Currently, Yahoo has the dubious honor of leading the ranking of the most compromised data records in selected data breaches worldwide. The findings raise the spectre of existing social inequalities and prejudices being reinforced in new and unpredictable ways as an increasing number of decisions affecting our everyday lives are ceded to automatons.

Search and display advertising currently generate the majority of Yahoo's revenues. The approach, which is already used in web search and machine translation, works by building up a mathematical representation of language, in which the meaning of a word is distilled into a series of numbers known as a word vector based on which other words most frequently appear alongside it.

The company's revenue was a reported 5.

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Sandra Wachter, a researcher in data ethics and algorithms at the University of Oxford, said: This text provides general information. Share via Email This article is over 1 year old AI has the potential to reinforce existing biases because, unlike humans, algorithms are unequipped to consciously counteract learned biases, researchers warn.

These gains have been thanks to new machine learning techniques and the availability of vast amounts of online text data, on which the algorithms can be trained. Perhaps surprisingly, this purely statistical approach appears to capture the rich cultural and social context of what a word means in the way that a dictionary definition would be incapable of.