Prioritization First, Principles Second: An Adaptive Interpretation of Helpful, Honest, and Harmless Principles

Understand

The Helpful, Honest, and Harmless (HHH) principle is a foundational framework for aligning AI systems with human values.

• However, existing interpretations of the HHH principle often overlook contextual variability and conflicting requirements across applications.
• In this paper, we argue for an adaptive interpretation of the HHH principle and propose a reference framework for its adaptation to diverse scenarios.
• We first examine the principle's foundational significance and identify ambiguities and conflicts through case studies of its dimensions.