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Agentic AI
24 topics across 6 chapters
Chapter 1
Definitions and scope
1
What is AI agency and autonomy?
2
Levels of autonomy in AI systems
3
Capabilities vs intentions in intelligent agents
Chapter 2
Agency & autonomy in AI
4
Decision-making architectures
5
Goal-oriented vs reactive systems
Chapter 3
Historical context and milestones
6
Early AI milestones and optimism
7
Thought experiments shaping AI risk
8
Key moments in AI governance history
Chapter 4
Ethics, safety, and alignment
9
Alignment problem overview
10
Safety constraints and containment
11
Robustness and reliability in agentic systems
Chapter 5
Technical foundations for agency
12
Planning and reasoning in agents
13
Long-horizon optimization techniques
14
Memory, context, and world-models
Chapter 6
Governance, policy, and risk
15
Regulatory landscape for agentic AI
16
Risk assessment and mitigation frameworks
17
Auditing and accountability of AI systems

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