{"id":130547,"date":"2021-11-13T10:44:24","date_gmt":"2021-11-13T18:44:24","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2021\/11\/women-in-tech-are-fighting-a-i-bias-but-where-are-the-men"},"modified":"2021-11-13T10:44:24","modified_gmt":"2021-11-13T18:44:24","slug":"women-in-tech-are-fighting-a-i-bias-but-where-are-the-men","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2021\/11\/women-in-tech-are-fighting-a-i-bias-but-where-are-the-men","title":{"rendered":"Women in tech are fighting A.I. bias \u2014but where are the men?"},"content":{"rendered":"

<\/a><\/p>\n

Battling bias. If I\u2019ve been a little MIA this week, it was because I spent Monday and Tuesday in Boston for Fortune<\/em> \u2019s inaugural Brainstorm A.I. gathering.<\/a> It was a fun and wonky couple of days diving into artificial intelligence and machine learning, technologies that\u2014for good or ill\u2014seem increasingly likely to shape not just the future of business, but the world at large.<\/p>\n

There are a lot of good and hopeful things to be said about A.I. and M.L., but there\u2019s also a very real risk that the technologies will perpetuate biases that already exist, and even introduce new ones. That was the subject of one of the most engrossing discussions of the event<\/a> by a panel that was\u2014as pointed out by moderator, guest co-chair, and deputy CEO of Smart Eye Rana el Kaliouby\u2014comprised entirely of women.<\/p>\n

One of the scariest parts of bias in A.I. is how wide and varied the potential effects can be. Sony<\/a> Group\u2019s head of A.I. ethics office Alice Xiang gave the example of a self-driving car that\u2019s been trained too narrowly in what it recognizes as a human reason to jam on the breaks. \u201cYou need to think about being able to detect pedestrians\u2014and ensure that you can detect all sorts of pedestrians and not just people that are represented dominantly in your training or test set,\u201d said Xiang.<\/p>\n","protected":false},"excerpt":{"rendered":"

Battling bias. If I\u2019ve been a little MIA this week, it was because I spent Monday and Tuesday in Boston for Fortune \u2019s inaugural Brainstorm A.I. gathering. It was a fun and wonky couple of days diving into artificial intelligence and machine learning, technologies that\u2014for good or ill\u2014seem increasingly likely to shape not just the [\u2026]<\/p>\n","protected":false},"author":578,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[43,30,6,1491],"tags":[],"class_list":["post-130547","post","type-post","status-publish","format-standard","hentry","category-business","category-ethics","category-robotics-ai","category-transportation"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/130547","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/578"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=130547"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/130547\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=130547"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=130547"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=130547"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}