What is intelligence amplification?

What is intelligence amplification?

Intelligence amplification, also called cognitive augmentation or machine-augmented intelligence, is the use of technology to enhance and support human intelligence rather than replace it. The concept was first proposed in the 1950s and 1960s by pioneers in cybernetics and early computing.

Intelligence amplification is often contrasted with artificial intelligence (AI). Where AI aims to build autonomous systems that replicate human-like intelligence, intelligence amplification instead extends the capabilities of the existing human mind, keeping a person in the loop. Virtual assistants, chatbots, and predictive analytics tools are common examples: the system analyzes data and offers suggestions, and a human reviews and acts on them. This creates a feedback loop between human and machine that can improve the speed and quality of decision-making and problem-solving.

Predictive analytics is one of the more mature applications, using data analysis to forecast future events in fields such as marketing, finance, and healthcare, supporting strategic planning and risk management.

Intelligence amplification carries the same broad benefits and risks as the wider field of AI it draws on. Potential benefits include greater efficiency, accuracy, and improved customer service. Risks fall into similar categories: technical risk from algorithms that behave unpredictably, social risk from human biases embedded in training data or models, and economic risk from automation displacing jobs.