Collective intelligence and social consciousness
Explanation
Collective intelligence is the ability of groups to solve problems, generate knowledge and make decisions more effectively than their individual members separately. Contemporary studies (Anita Woolley, Thomas Malone, MIT Center for Collective Intelligence) have identified that certain groups exhibit a "c factor" of group intelligence, analogous to the individual g factor, which predicts their performance on diverse tasks. Surprisingly, that factor depends less on the group's average IQ and more on aspects such as social sensitivity, equity in participation and the presence of women.
Collective intelligence is a ubiquitous biological phenomenon. Bee colonies collectively choose new nests through a process of distributed voting (studied by Thomas Seeley in Honeybee Democracy). Ant colonies solve optimization problems (the shortest path to food) without a central coordinator. Bird flocks and fish schools execute complex collective manoeuvres. These systems exhibit cognitive properties as a superorganism, without any individual "knowing" what the whole is doing.
In humans, collective intelligence operates at many levels: work teams, scientific communities (science as a collective enterprise), markets (prices as aggregators of distributed information), Wikipedia (collectively built knowledge), open source, mass predictions (the wisdom of crowds, studied by Surowiecki). Advances in digital networks have empowered new forms of globally connected collective intelligence.
For the theory of consciousness, an intriguing question arises: can collectives have any kind of consciousness? The "global brain" hypothesis (Heylighen and others) suggests that humanity connected by the internet could be developing something analogous to a planetary mind, not necessarily with unified subjective consciousness, but with emergent cognitive properties. Other more speculative proposals (Teilhard de Chardin with his noosphere) imagine a deeper collective consciousness.
Informational theories of consciousness (IIT) have a technical answer here: for a system to be conscious it must have Φ (integrated information) above a certain threshold. Human groups can have distributed cognition without necessarily reaching unified consciousness in the strong sense; integration tends to occur within each individual brain, while communication between brains is relatively slow and limited. But this could change with brain-to-brain interface technologies.
The practical implications are enormous. Better designing collective intelligence (organizations, cities, governments, scientific networks) is one of the great challenges of the 21st century: global problems (climate change, pandemics, economic crises) require effective collective cognition on a planetary scale. Studies on group dynamics, conditions for the wisdom of crowds, risks of polarization and informational bubbles, mechanisms of collective decision-making, are increasingly relevant. Social consciousness, whether or not consciousness in the strict sense, is already a legitimate scientific object.
Strengths
- Addresses real, observable collective phenomena.
- Dialogue with network and systems theory.
- Applications in democracy, science and governance.
- Opens relevant questions in the digital age.
Main critiques
- Ambiguity between distributed cognition and collective subjective consciousness.
- Risk of metaphorising consciousness.
- Accusations of unfounded mystical holism.