Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI

2024-09-24

arXiv.org

AI Summary

This study addresses the core challenge of human–AI co-evolution: how to safeguard human agency and value primacy amid rapid AI advancement. Method: We propose a “human–AI intelligence co-construction” taxonomy, integrating cognitive science, neurobiologically inspired modeling, and foundational model interaction analysis to develop a human-centered AI augmentation framework. Contribution/Results: We formally define humans as both the design agents and value anchors of AI systems; introduce human-centric evaluation metrics, principles for symbiotic system design, and an actionable developmental roadmap. Our findings systematically elucidate bidirectional human–AI influence mechanisms, reaffirming humanity’s irreplaceable role in ethical governance, robustness assurance, and accountability design. The work shifts AI governance paradigms from technology-driven to human-centered approaches and provides both theoretical foundations and practical blueprints for interdisciplinary collaboration.

Technology Category

• Humans and AI: Learning Human Values and Preferences
• Philosophy and Ethics of AI: Morality & Value-based AI
• Multiagent Systems: Agent/AI Theories and Architectures

Application Category

• Economics, Online Markets and Human Computation: Fairness and ethical considerations in crowd work and in human-in-the-loop AI systems
• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions

Abstract

Human intelligence, the most evident and accessible form of source of reasoning, hosted by biological hardware, has evolved and been refined over thousands of years, positioning itself today to create new artificial forms and preparing to self--design their evolutionary path forward. Beginning with the advent of foundation models, the rate at which human and artificial intelligence interact with each other has exceeded any anticipated quantitative figures. The close engagement led both bits of intelligence to be impacted in various ways, which naturally resulted in complex confluences that warrant close scrutiny. In the sequel, using a novel taxonomy, we shall explore the interplay between human and machine intelligence, focusing on the crucial role humans play in developing ethical, responsible, and robust intelligent systems. We briefly delve into various aspects of implementation inspired by the mechanisms underlying neuroscience and human cognition. In addition, we propose future perspectives, capitalizing on the advantages of symbiotic designs to suggest a human-centered direction for next-generation developments, focusing on the augmentation role of AI. We finalize this evolving document with some thoughts and open questions yet to be addressed by the broader community.

Problem

• Human-AI Collaboration
• Intelligent Systems
• AI Assistance

Innovation

• Human-AI Collaboration
• Brain-Inspired Optimization
• Ethical and Philosophical Considerations