But there is a more practical reason why I ask myself this very question. Pierre Lévy actually used to work at my department and my laboratory has recently stuck up a cooperation with his research unit in
IEML (Information Economy Meta Language) is an artificial language designed to be simultaneously: a) optimally manipulable by computers; and b) capable of expressing the semantic and pragmatic nuances of natural languages. The design of IEML responds to three interdependent problems: the semantic addressing of cyberspace data; the coordination of research in the humanities and social sciences; and the distributed governance of collective intelligence in the service of human development.
IEML is not another syntax proposal for a semantic web like RDF or OWL. It is a philosopher’s creation of a new language that allows mainly two things: facilitate the processing of data tagged with IEML sentences and help cross-language and intercultural reasoning. This page gives a short overview. Against the usual understanding of collective intelligence, IEML is really a top-down endeavor. Lévy came up with the basic syntax and vocabulary and the proposal explicitly states the need for experts in helping with formalization and translation. I must admit that I have been very skeptical of the whole thing, but after reading Clay Shirky’s “Here comes Everybody” (which I found interesting but also seriously lacking – I’ll get to that in another post though) there is a feeling creeping up on me that Lévy might yet again be five years ahead of everybody else. In my view, the mindset of large parts of research on participation has adopted the ontology and ethics of American-brand Protestantism which, among other things, identifies liberty and democracy with community rather than with the state and which imagines social process as a matter of developing collective morals and practices much more than the outcome of power struggles mediated by political institutions. This view idealizes the “common man” and shuns expert culture as “elitist”. Equality is phrased less in socio-economic terms, as “equal opportunity” (the continental tradition), but in mostly in cultural terms, as “equal recognition”. (Footnote: this is, in my view, why political struggle in the
I believe that the most interesting projects in the whole “amateur” sector are the ones that organize around meritocratic principles and consequently built hierarchy; open source software is the best example but Wikipedia works in a similar fashion. The trick is to keep meritocracy from turning into hegemony. But I digress.
Lévy’s bet is that collective intelligence, if it wants to be more than pop culture, will need experts (and expert tools) for a series of semantic tasks ranging from cartography to translation. His vision is indeed much more ambitious than most of the things we have seen to this day. The idea is that with the proper (semantic) tools, we could tackle problems collectively that are currently very much out of reach; and this in a truly global fashion, without bringing everybody into the rather impoverished linguistic umbrella of globish. Also, in order to make search more pluralistic and less “all visibility to the mainstream” as it currently is, we will need to get closer to the semantic level. I don’t believe that IEML, in its current iteration at least, can really do all these things. But I believe that yet again, Lévy has the right intuition: if collective forms of “problem solving” are to go beyond what they currently do, they will have to find modes of organization that are more sophisticated than the platforms we currently have. These modes will also have to negociate a balance between “equal opportunity” and “equal representation” and make it’s peace with instituionalization.
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