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>It should be possible to build a prototype post-facto “truth labeling” system [...] Such a system would tentatively label a claim or story as true/false based
by zeteo 10y ago
>It should be possible to build a prototype post-facto “truth labeling” system [...] Such a system would tentatively label a claim or story as true/false based on the stances taken by various news organizations on the topic, weighted by their credibility.
And of course nobody would love this technology more than the Chinese and Russian governments. Is a system aimed at quickly identifying obscure blogs that disagree with "high-credibility" sources supposed to help democracy?
- A_Crazy_Idea 10y agoThanks for your opinion. It has been removed.
- vvggff 10y agoWhy China and Russia specifically?
- inevitable2 10y agoBecause they are a lot less covert about their censorship practices and they are quick at adopting new technologies. There are of course a lot of Western countries who claim to be free societies who would love to have those tools and capabilites too.
- KanyeBest 10y agoBecause credible™ news sources such as CNN have confirmed that they are villain states.
- KirinDave 10y agoMachine Learning technology is immensely powerful and will absolutely be used to both the detriment and benefit of the people at large. This is something we as technologists need to understand. It's one of the reasons why our employment choices and our decisions around who to work with must be taken in the context the impact it will cause on the world around us. As we begin to automate more and more of traditionally human jobs, we're going to find our work inextricable from the political landscape our systems are creating.
- wu-ikkyu 10y ago>All things are subject to interpretation. Whichever interpretation prevails at a given time is a function of power and not truth. Friederich Nietzsche