Enhancing Human Capabilities through Symbiotic Artificial Intelligence with Shared Sensory Experiences

TL;DR

This paper introduces SAISSE, a novel human-AI interaction model that uses shared sensory experiences to foster a mutually beneficial, personalized, and ethically responsible symbiosis between humans and AI systems.

Contribution

It proposes the SAISSE framework, integrating shared sensory inputs, memory, and ethical considerations to enhance human-AI collaboration and adaptation.

Findings

Conceptual framework for shared sensory experiences in AI

Discussion of privacy and ethical challenges

Strategies for mitigating biases and inequalities

Abstract

The merging of human intelligence and artificial intelligence has long been a subject of interest in both science fiction and academia. In this paper, we introduce a novel concept in Human-AI interaction called Symbiotic Artificial Intelligence with Shared Sensory Experiences (SAISSE), which aims to establish a mutually beneficial relationship between AI systems and human users through shared sensory experiences. By integrating multiple sensory input channels and processing human experiences, SAISSE fosters a strong human-AI bond, enabling AI systems to learn from and adapt to individual users, providing personalized support, assistance, and enhancement. Furthermore, we discuss the incorporation of memory storage units for long-term growth and development of both the AI system and its human user. As we address user privacy and ethical guidelines for responsible AI-human symbiosis, we also explore potential biases and inequalities in AI-human symbiosis and propose strategies to mitigate these challenges. Our research aims to provide a comprehensive understanding of the SAISSE concept and its potential to effectively support and enhance individual human users through symbiotic AI systems. This position article aims at discussing poteintial AI-human interaction related topics within the scientific community, rather than providing experimental or theoretical results.