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At La Baule, collective intelligence starts with individual expression

2 min read
“La Baule 2018: Individual Voices, Collective Intelligence” sits beside a photograph of a woman and three men seated with microphones in front of an audience against a dark patterned wall.

On 4 December 2018, Émile Servan-Schreiber shared a photograph and a message from the Rendez-Vous des écrivains de La Baule. He had joined novelists Bernard Werber and Patrice Jean for a discussion about the individual and the collective. The organiser’s programme places their session on Sunday 2 December, from 15:00 to 15:45, in the Brière room.

The panel’s title asked whether the individual was condemned; its accompanying questions concerned freedom within a collective and strength in solitude. Those questions gave Servan-Schreiber an opportunity to put a condition on the promise of collective intelligence. In his LinkedIn recap, he summarised his message:

Le collectif ne peut être intelligent que si on maximize l'expression individuelle de chacun.

Émile Servan-Schreiber, LinkedIn, 4 December 2018

In our translation: “The collective can only be intelligent if we maximise each person’s individual expression.”

The discussion came soon after Fayard published Supercollectif on 24 October 2018. The journal’s account of the book and its English edition follows the broader argument: connecting people creates an opportunity to combine their knowledge, but the organisation of that connection matters.

A question for forecasting design

Read as a forecasting principle, the La Baule message directs attention to what happens before a group produces its final answer. A procedure that gives each person a chance to express a judgement can preserve information that a dominant voice or early consensus might suppress. That is an interpretation of the message, rather than evidence that the literary panel tested a prediction system.

There is a relevant experimental precedent. In a 2011 study, Jan Lorenz and colleagues found that social influence could reduce the diversity of participants’ numerical estimates without improving their accuracy. The finding concerned particular estimation tasks; it does not establish that every discussion damages collective judgement.

The La Baule message concerns a condition for collective judgement: individual contributions have to enter the process. In a forecasting exercise, that condition directs attention to how questions are posed, how answers are collected and whether disagreement survives long enough to be examined. The literary panel supplied a public statement of that principle, while the research offers a separate way to test how social influence affects estimates.

Evidence

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