人工智能与人类协同进化:迈向更安全的共同超级智能
AI & Human Co-Improvement for Safer Co-Superintelligence
December 5, 2025
作者: Jason Weston, Jakob Foerster
cs.AI
摘要
当前,自我完善虽激发着人工智能领域的研究热情,但这一目标既充满风险又需长期探索。我们认为,对人类而言更具可实现性且更优越的方向是最大化"协同进化"——即人类研究者与人工智能通过协作实现共同超智能。具体而言,应着力提升AI系统与人类研究者协同开展AI研究的能力,从创意构思到实验验证的全流程合作,既加速AI研究进程,又通过人机共生实现更安全的双向超智能赋能。将人类研究能力的提升纳入循环体系,不仅能更快实现目标,更能保障发展路径的安全性。
English
Self-improvement is a goal currently exciting the field of AI, but is fraught with danger, and may take time to fully achieve. We advocate that a more achievable and better goal for humanity is to maximize co-improvement: collaboration between human researchers and AIs to achieve co-superintelligence. That is, specifically targeting improving AI systems' ability to work with human researchers to conduct AI research together, from ideation to experimentation, in order to both accelerate AI research and to generally endow both AIs and humans with safer superintelligence through their symbiosis. Focusing on including human research improvement in the loop will both get us there faster, and more safely.