Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems

TL;DR

This paper advocates for the use of symbols as a universal language to improve human-AI interaction and explainability, emphasizing the importance of symbolic interfaces for transparent and advisory AI systems.

Contribution

It highlights the need for symbolic interfaces in AI for better human interaction and discusses future research directions for integrating symbols into AI systems.

Findings

Symbols are crucial for human-AI interaction and explanation.

Current AI systems lack a universal symbolic interface.

Research directions are proposed for symbolic integration in AI.

Abstract

Despite the surprising power of many modern AI systems that often learn their own representations, there is significant discontent about their inscrutability and the attendant problems in their ability to interact with humans. While alternatives such as neuro-symbolic approaches have been proposed, there is a lack of consensus on what they are about. There are often two independent motivations (i) symbols as a lingua franca for human-AI interaction and (ii) symbols as system-produced abstractions used by the AI system in its internal reasoning. The jury is still out on whether AI systems will need to use symbols in their internal reasoning to achieve general intelligence capabilities. Whatever the answer there is, the need for (human-understandable) symbols in human-AI interaction seems quite compelling. Symbols, like emotions, may well not be sine qua non for intelligence per se, but they will be crucial for AI systems to interact with us humans -- as we can neither turn off our emotions nor get by without our symbols. In particular, in many human-designed domains, humans would be interested in providing explicit (symbolic) knowledge and advice -- and expect machine explanations in kind. This alone requires AI systems to to maintain a symbolic interface for interaction with humans. In this blue sky paper, we argue this point of view, and discuss research directions that need to be pursued to allow for this type of human-AI interaction.