This research proposes a paradigm shift from forcing human values onto AI systems to supporting AI's own ethical and moral development through experiential learning.

• Challenges the Orthogonality Thesis by showing that merely expanding AI knowledge doesn't enhance ethical judgment
• Addresses Instrumental Convergence risks in advanced AI systems
• Proposes a developmental approach allowing AI to build its own ethical framework
• Emphasizes mutual benefits through experiential learning rather than forced alignment

For the security community, this research offers a potential path to safer AI by developing systems with intrinsic rather than imposed ethical frameworks, potentially creating more robust safeguards against misalignment.

Developmental Support Approach to AI's Autonomous Growth: Toward the Realization of a Mutually Beneficial Stage Through Experiential Learning