This image titled “Human with AI” illustrates the collaborative structure between humans and AI.
Top: Human works
Humans operate through three stages:
- Experience – Collecting various experiences and information
- Thought – Thinking and judging by combining emotions, logic, and intuition
- Action – Executing final decisions
Bottom: AI Works
AI operates through similar three stages:
- Learning – Learning from databases and patterns
- Reasoning – Analyzing and judging through algorithms and calculations
- Inference – Deriving results based on statistics and probabilities
Core: Human-AI Collaboration Structure
The green arrow in the center with “Develop & Verification” represents the process where humans verify AI’s reasoning results and make final judgments (Thought) to connect them to actual actions (Action).
In other words, when AI analyzes data and presents reasoning results, humans review and verify them to ultimately decide whether to execute – representing a Human-in-the-loop system. AI assists decision-making, but the final judgment and action are under human responsibility.
Summary
This diagram illustrates a Human-in-the-loop AI system where AI processes data and provides reasoning, but humans retain final decision-making authority. Both humans and AI follow similar learning-thinking-acting cycles, but human verification serves as the critical bridge between AI inference and real-world action. This structure emphasizes responsible AI deployment with human oversight.
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With Claude
Lechuck Park 