导读荐语
机器偏见,乍一看也许只是个小毛病。但数据新闻学教授梅瑞迪斯·布鲁萨德(Meredith Broussard)认为,机器偏见是一个结构性问题,会反映出现实中的种族主义、性别歧视和能力歧视。科技应该为所有人服务——没有人应该因为肤色、性别、年龄或能力而对技术自感疏远。 布鲁萨德提供了机器偏见的几个案例研究,详细说明了它在警务和医疗保健等领域造成的危害。她敦促大科技公司接受公众监督,为公共利益服务。
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关于作者
梅瑞迪斯·布鲁萨德(Meredith Broussard)是一位数据记者,曾出版《人工不智能:计算机如何误解真实世界》(Artificial Unintelligence: How Computers Misunderstand the World)等多部著作。她也在纽约大学亚瑟·卡特新闻学研究所(Arthur L. Carter Journalism Institute)担任助理教授,并在纽约大学公共利益技术联盟(NYU Alliance for Public Interest Technology)担任研究主任。
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