This image is a diagram showing the relationship between Reliability and Efficiency. Three different decision-making approaches are compared:
- First section – “Trade-off”:
- Shows Human Decision making
- Indicates there is a trade-off relationship between reliability and efficiency
- Displays a question mark (?) symbol representing uncertainty
- Second section – “Synergy”:
- Shows a Programmatic approach
- Labeled as using “100% Rules (Logic)”
- Indicates there is synergy between reliability and efficiency
- Features an exclamation mark (!) symbol representing certainty
- Third section – “Trade-off?”:
- Shows a Machine Learning approach
- Labeled as using “Enormous Data”
- Questions whether the relationship between reliability and efficiency is again a trade-off
- Displays a question mark (?) symbol representing uncertainty
Importantly, the “Basic & Verified Rules” section at the bottom presents a solution to overcome the indeterminacy (probabilistic nature and resulting trade-offs) of machine learning. It emphasizes that the rules forming the foundation of machine learning systems should be simple and clearly verifiable. By applying these basic and verified rules, the uncertainty stemming from the probabilistic nature of machine learning can be reduced, suggesting an improved balance between reliability and efficiency.
with Claude
Lechuck Park 