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extended intelligence (EI)

Contributor(s): Matthew Haughn

Extended intelligence (EI) is the use of artificial intelligence (AI) to enhance human intelligence. EI blends the different strengths and weaknesses of the two types of intelligence. Human intelligence is used to direct the computational strength of AI through better free association and understanding.

Human intelligence excels at processing sensory data, understanding, abstract thought and free association. AI excels at remembering, processing, prediction and analysis. While they differ, human intelligence and AI are good at balancing out each other’s weaknesses and complementing each other’s strengths. For example, where humans have difficulties with scale, computers can perform trillions of operations a second.

EI research interests include:

  • Studying of the physical connection from computer to human intelligence.
  • Using machine learning to understand how humans process music.
  • Observing competition in games such as chess between skilled players and average players using EI.
  • Creating a connected society where ethics and morals are derived from social norms and tested against humans.
  • Creating wearables that can influence human behavior by way of both consciously perceivable and subliminal signals.
  • Viewing extended human perception through connected sensors, sensor networks and actuators, extending intelligence into the environment.
  • Enhancing health and diagnoses to improve patient outcomes.

With EI, humans play the role of directors of AI. Humans can draw on their broad experience and use intuition to allow them look at machine outputs and recognize whether results are true findings or machine errors and resulting noisy data.

This was last updated in June 2019

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