"Let’s focus on the resulting element — the “collective intelligence”. Think about it as billions of human brains working using future super computers as a platform. Massachusetts Institute of Technology (MIT) professor Srini Devadas described “collective intelligence” as consisting of two pillars: cloud computing and crowd computing. Cloud computing is using the Internet as a platform and making access to information available to everyone. Crowd computing, according to him, involves the analysis of information into “collective intelligence” far beyond what we have today."
Via
Howard Rheingold,
Jack Patterson,
Gust MEES
Augmented collective intelligence depends on technological amplification of the ability of humans to think, communicate, and work together -- and upon the norms, methods, and institutions that humans create to overcome social dilemmas. Wikipedia's Neutral Point of View is a perfect example of this kind of techno-social arrangement.
Sobre los límites de la inteligencia colectiva.
We examine whether collective intelligence helps achieve a neutral point of view (NPOV) using data from Wikipedia’s articles on US politics. Our null hypothesis builds on Linus’ Law, often expressed as “Given enough eyeballs, all bugs are shallow.” Our findings are consistent with a narrow interpretation of Linus’ Law, namely, a greater number of contributors to an article makes an article more neutral. No evidence supports a broad interpretation of Linus’ Law. Moreover, several empirical facts suggest the law does not shape many articles. The majority of articles receive little attention, and most articles change only mildly from their initial slant. Our study provides the first empirical evidence on the limit of collective intelligence. While many managers believe that they could improve their products by taking advantage of the wisdom of crowds, we show that in the case of Wikipedia, there are aspects such as NPOV that collective intelligence does not help achieve successfully.