Essay

Evaluating AI Alignment Paradigms

Critique two contrasting philosophies for aligning an AI system with human intentions. The first philosophy relies on training the model on a comprehensive, static dataset of predefined tasks and approved behaviors. The second philosophy posits that true alignment can only be achieved through a process of continuous learning and adaptation via real-world interaction. Evaluate the long-term viability of each approach, focusing on the challenges posed by ambiguous or evolving human values.

0

1

Updated 2025-10-06

Contributors are:

Who are from:

Tags

Ch.2 Generative Models - Foundations of Large Language Models

Foundations of Large Language Models

Foundations of Large Language Models Course

Computing Sciences

Evaluation in Bloom's Taxonomy

Cognitive Psychology

Psychology

Social Science

Empirical Science

Science