Business

Human-AI Collaboration

Définition

Workflows and system designs that combine the strengths of human judgement, creativity, and contextual understanding with AI's speed, pattern recognition, and data-processing capacity. Effective human-AI collaboration typically outperforms either humans or AI working alone.

Termes Connexes

Augmented Intelligence

An AI design philosophy that emphasises using machine intelligence to amplify human capabilities rather than replace them. Augmented intelligence reframes the AI narrative from displacement to empowerment, which is often more acceptable to employees and regulators.

Human-in-the-Loop (HITL)

A design pattern where a human must approve or review an AI system's output before it produces a real-world effect. HITL is the strongest form of human oversight and is required for the highest-stakes automated decisions under GDPR Article 22 and the EU AI Act.

AI Change Management

The process of preparing, supporting, and guiding employees and stakeholders through the organisational changes that AI adoption brings—including role redesign, new workflows, cultural shifts, and addressing fears about automation. Most AI transformations fail due to poor change management, not technical shortcomings.

Services Connexes

Product Decision Review

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