Summary of "Introduction à l’intelligence artificielle - 1 - Décider"

Main Ideas and Concepts:

Introduction to Artificial Intelligence (AI):
- The course aims to clarify myths and realities surrounding AI.
- Emphasis on understanding what AI is and what it is not, along with its historical context and components.
Defining Intelligence:
- Before defining AI, it is essential to define natural intelligence.
- Intelligence is often difficult to define, but it is linked to adaptability and decision-making.
Types of Intelligence:
- Linguistic Intelligence: Understanding and using language.
- Logical-Mathematical Intelligence: Reasoning and numerical understanding.
- Spatial Intelligence: Awareness of space and navigation.
- Musical Intelligence: Sensitivity to sounds and rhythms.
- Bodily-Kinesthetic Intelligence: Physical awareness and coordination.
- Interpersonal Intelligence: Understanding social interactions and behaviors.
- Intrapersonal Intelligence: Self-awareness and understanding one's motivations.
Decision-Making:
- Decision-making is central to adaptability and human survival.
- Humans often struggle with decisions due to uncertainty about future outcomes.
- A "good decision" is defined as a measured choice, but outcomes can vary.
Human Decision-Making Mechanisms:
- Daniel Kahneman's work on decision-making identifies two systems:
  - System 1: Fast, instinctive decisions (survival-oriented).
  - System 2: Slow, deliberate analysis (more analytical).
- Kahneman identified decision heuristics that can bias decisions:
  - Availability Heuristic: Relying on immediate information available in memory.
  - Anchoring Heuristic: Influencing estimates based on a recent reference point.
AI and Decision-Making:
- AI can help alleviate the anxiety of decision-making by outsourcing this burden from humans to machines.

Methodology/Instructions:

To better understand AI and decision-making:
- Reflect on the definitions of intelligence and decision-making.
- Consider how different types of intelligence apply to personal and professional contexts.
- Analyze personal decision-making processes, recognizing the influence of heuristics.
- Explore how AI can assist in making more informed decisions.