abusesaffiliationarrow-downarrow-leftarrow-rightarrow-upattack-typeburgerchevron-downchevron-leftchevron-rightchevron-upClock iconclosedeletedevelopment-povertydiscriminationdollardownloademailenvironmentexternal-linkfacebookfiltergenderglobegroupshealthC4067174-3DD9-4B9E-AD64-284FDAAE6338@1xinformation-outlineinformationinstagraminvestment-trade-globalisationissueslabourlanguagesShapeCombined Shapeline, chart, up, arrow, graphLinkedInlocationmap-pinminusnewsorganisationotheroverviewpluspreviewArtboard 185profilerefreshIconnewssearchsecurityPathStock downStock steadyStock uptagticktooltiptwitteruniversalityweb

这页面没有简体中文版本,现以English显示

文章

17 八月 2018

作者:
Sherif Elsayed-Ali, OpenGlobalRights

Commentary: Toronto Declaration aims to put human rights front & centre in development & application of machine learning technologies

"New human rights principles on artificial intelligence," 15 August 2018

In May 2018, Amnesty InternationalAccess Now, and a handful of partner organizations launched the Toronto Declaration on protecting the right to equality and non-discrimination in machine learning systems. The Declaration... seeks to apply existing international human rights standards to the development and use of machine learning systems (or “artificial intelligence”)... One of the most significant risks with machine learning is the danger of amplifying existing bias and discrimination against certain groups—often marginalized and vulnerable communities, who already struggle to be treated with dignity and respect. When historical data is used to train machine learning systems without safeguards, ML systems can reinforce and even augment existing structural bias.

... When Amnesty started examining the nexus of artificial intelligence and human rights, we were quickly struck by two things: ... there appeared to be a widespread and genuine interest in the ethical issues around AI... [and] human rights standards were largely missing from the debate on the ethics of AI... The Toronto Declaration... sets out the duties of states to prevent discrimination in the context of designing or implementing machine learning systems; ... outlines the responsibilities of private actors in the context of the development and deployment of ML systems;... [and] asserts the right to an effective remedy.

时间线

隐私资讯

本网站使用 cookie 和其他网络存储技术。您可以在下方设置您的隐私选项。您所作的更改将立即生效。

有关我们使用网络存储的更多信息,请参阅我们的 数据使用和 Cookie 政策

Strictly necessary storage

ON
OFF

Necessary storage enables core site functionality. This site cannot function without it, so it can only be disabled by changing settings in your browser.

分析 cookie

ON
OFF

您浏览本网页时我们将以Google Analytics收集信息。接受此cookie将有助我们理解您的浏览资讯,并协助我们改善呈现资讯的方法。所有分析资讯都以匿名方式收集,我们并不能用相关资讯得到您的个人信息。谷歌在所有主要浏览器中都提供退出Google Analytics的添加应用程式。

市场营销cookies

ON
OFF

我们从第三方网站获得企业责任资讯,当中包括社交媒体和搜寻引擎。这些cookie协助我们理解相关浏览数据。

您在此网站上的隐私选项

本网站使用cookie和其他网络存储技术来增强您在必要核心功能之外的体验。