10-02 2-Day Workshop: Is it Machine Learning or Human Learning the Machine?

10-02 2-Day Workshop: Is it Machine Learning or Human Learning the Machine?

Today is Operation Sandoor day. You have been properly given back you Pakis. That's what is today.
Right on target.
Today I would like to talk about machine learning, which is very important as our Air force has done very well. Learning is important.

1. Historical Evolution of Machine Language:
- The transition from IBM 1401 and Autocoder to modern AI-driven computing.
- Early computing systems were based on strict constraints, while today’s AI focuses on capabilities.

2. Clarifying Machine Learning vs. Human Learning:
- Machines do not “learn” on their own; humans learn to operate within machine constraints.
- Understanding machine limitations enables better oversight and governance.

3. Agentic AI and Corporate Oversight:
- AI can execute logical decisions autonomously, but it must be guided by company oversight.
- The risk of unregulated AI acting unpredictably without human intervention.

4. Governance and Ethical Considerations:
- The need for structured accountability frameworks in AI applications.
- The role of individuals in ensuring AI aligns with corporate objectives and ethical boundaries.

5. Practical Implementation – Training and Workshops:
- The importance of educating professionals on human-AI collaboration.
- The two-day workshop as a model for understanding and integrating AI oversight in companies.