Free will as structured unpredictability: toward a symbiotic human-AI relationship.

Area of Science:

• Artificial Intelligence
• Philosophy of Information
• Human-Computer Interaction

Background:

• Human history is marked by rapid technological shifts, with artificial intelligence (AI) evolving significantly in recent decades.
• The increasing integration of AI into society necessitates frameworks for human-AI interaction.
• Preserving human autonomy and diversity in the face of advanced AI is a critical challenge.

Purpose of the Study:

• To introduce a preliminary framework for a symbiotic human-AI relationship.
• To integrate the concept of human free will into AI systems.
• To lay the groundwork for future research on human autonomy in AI.

Main Methods:

• Conceptualizing human free will as 'structured unpredictability'.
• Proposing a speculative extension of Shannon's information theory to model the informational contributions of free will.
• Framing free will as an informational surplus.

Main Results:

• The proposed framework conceptualizes AI as a potential mirror and amplifier of human creativity.
• Free will is modeled as an informational surplus within AI systems.
• The theoretical model provides a basis for future empirical and computational investigations.

Conclusions:

• The framework offers a novel approach to integrating human free will into AI.
• This research highlights the potential for AI to enhance, rather than diminish, human creativity and autonomy.
• Further research is needed to empirically validate and computationally explore this human-AI symbiotic framework.