Part 9/13:
Fights against human biases and contradictions embedded in data
Diminishing returns as models struggle to reconcile conflicting feedback
Learned Harmlessness (Anthropic)
Pros:
Clear, explicit moral framework enhances trustworthiness
Better aligns with ethical principles that benefit society
More scalable and adaptable in complex, real-world scenarios
Cons:
Tends to be less responsive—models may refuse to answer or be evasive
Potentially less engaging or versatile for user interaction
Early implementations risk producing inert or overly cautious responses