Enhancing Social Robots through Resilient AI

TL;DR

This paper emphasizes the importance of resilience in social robots, especially in sensitive contexts like healthcare, to ensure trust and reliable operation under adverse conditions.

Contribution

It highlights resilience as a key feature for social robots, proposing it as essential for trust and reliable functioning in critical environments.

Findings

Resilience enhances trust in social robots.

Resilient design maintains operation under stress.

Resilience is fundamental for social robot deployment.

Abstract

As artificial intelligence continues to advance and becomes more integrated into sensitive areas like healthcare, education, and everyday life, it's crucial for these systems to be both resilient and robust. This paper shows how resilience is a fundamental characteristic of social robots, which, through it, ensure trust in the robot itself-an essential element especially when operating in contexts with elderly people, who often have low trust in these systems. Resilience is therefore the ability to operate under adverse or stressful conditions, even when degraded or weakened, while maintaining essential operational capabilities.