When the occasion comes, the proverb comes: value alignment via proverbial bank and synthetic rules

Cesa Salaam; Danda B. Rawat

doi:10.1117/12.3014236

7 June 2024 When the occasion comes, the proverb comes: value alignment via proverbial bank and synthetic rules

Cesa Salaam, Danda B. Rawat

Author Affiliations +

Proceedings Volume 13051, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI; 130510O (2024) https://doi.org/10.1117/12.3014236
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

Large Language Models act as an all-inclusive ground for engagement. However, the output of these models is not always aligned with the correct human preferences or values. This can produce a large range of inappropriate and offensive content. In human culture/society, proverbs act as a way to transmit and shape human values and behavior. In this research, we experiment to determine whether or not proverbs can play the same role for LLMs in transmitting and aligning to human values. Additionally, we research to determine how we can prompt LLMs to generate their own set of rules for categories of human values and use that as a means to align future-generated content to said values.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Cesa Salaam and Danda B. Rawat "When the occasion comes, the proverb comes: value alignment via proverbial bank and synthetic rules", Proc. SPIE 13051, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI, 130510O (7 June 2024); https://doi.org/10.1117/12.3014236

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