Augmented intelligence

As explained in The Art of AI Product Development

Augmented intelligence is an AI application mode in which AI combines with human expertise by offering suggestions and actively participating in decision making.

Augmented intelligence combines human expertise with AI suggestions that actively shape decision making. People remain responsible for weighing options with teams and stakeholders, making the human–AI partnership part of the product experience. section 3.3.2

Use automation level to distinguish the intended human–AI relationship:

• Assisted intelligence supports human decisions without deciding independently. section 3.3.2
• Augmented intelligence offers suggestions and participates actively while humans retain judgment. section 3.3.2
• Autonomous intelligence operates independently with minimal human intervention. section 3.3.2

Planning product features

An AI can provide creative stimulation and market context while a product team and stakeholders decide which service or product features to build next. section 3.3.2

Figure 3.10 AI applications with different degrees of automation

Compare assisted, augmented, and autonomous applications across domains such as autonomous driving, healthcare, and customer service. section 3.3.2

How The Art of AI Product Development covers it

How deep it goes

Defines three automation categories and contrasts their decision authority, but stops short of implementation detail.

Examples

Uses feature prioritization, cross-domain AI applications, and autonomous-driving automation levels as examples.

What it assumes

Assumes familiarity with AI applications and decision making while distinguishing automation levels from zero.

What you can do after

Evaluate whether an AI application supports, augments, or replaces human decision making.

How it connects

Connects human expertise, decision making, assisted intelligence, autonomous intelligence, and automation levels.

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Related concepts

• artificial intelligenceuses · Artificial intelligence is the field concerned with creating computational systems that perform tasks associated with human intelligence, such as learning, reasoning, perception, or decision-making.
• intelligenceuses · Intelligence is the capacity to acquire and apply knowledge, reason, learn, solve problems, and adapt to changing situations.
• human-AI collaborationuses · Human-AI collaboration is a working arrangement in which people and artificial-intelligence systems combine complementary capabilities to accomplish tasks or make decisions.
• language modeluses · A language model is a computational model that represents patterns in linguistic tokens to estimate their probabilities and predict or generate sequences of them.

This explainer was generated by Manning's knowledge graph from the text of The Art of AI Product Development. The section links point to the parts of the book it draws on.