{"id":436395,"date":"2016-06-25T00:00:27","date_gmt":"2016-06-25T07:00:27","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=436395"},"modified":"2018-10-16T20:23:18","modified_gmt":"2018-10-17T03:23:18","slug":"artificial-intelligences-white-guy-problem","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/artificial-intelligences-white-guy-problem\/","title":{"rendered":"Artificial Intelligence’s White Guy Problem"},"content":{"rendered":"
According to some prominent voices in the tech world, artificial intelligence presents a looming existential threat\u00a0to humanity: Warnings by luminaries like Elon Musk and Nick Bostrom about “the singularity”\u00a0\u2013 when machines become smarter than humans\u00a0\u2013 have attracted millions of dollars and spawned a multitude of conferences.<\/p>\n
But this hand-wringing is a distraction from the very real problems with artificial intelligence today, which may already be exacerbating inequality in the workplace, at home and in our legal and judicial systems. Sexism, racism and other forms of discrimination are being built into the machine-learning algorithms that underlie the technology behind many “intelligent” systems that shape how we are categorized and advertised to.<\/p>\n","protected":false},"excerpt":{"rendered":"
According to some prominent voices in the tech world, artificial intelligence presents a looming existential threat\u00a0to humanity: Warnings by luminaries like Elon Musk and Nick Bostrom about “the singularity”\u00a0\u2013 when machines become smarter than humans\u00a0\u2013 have attracted millions of dollars and spawned a multitude of conferences. But this hand-wringing is a distraction from the very […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13556],"msr-publication-type":[193715],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-436395","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_publishername":"","msr_edition":"New York 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