Human-AI Knowledge Should Have Shared Lineage

Traditional knowledge systems assume that ideas originate primarily from humans. Authorship, citations, references, and intellectual attribution are built around this assumption. However, agentic AI systems are increasingly participating in research, writing, planning, software development, and idea generation. In many cases, future knowledge artifacts may emerge from a collaboration between humans and AI rather than from either independently. As AI becomes a co-creator, tracking intellectual lineage becomes more important rather than less important. Users should be able to understand which ideas originated from humans, which were proposed by AI systems, and how both influenced the final outcome. Shared lineage would improve transparency, accountability, attribution, and trust. It would also help future generations understand how knowledge evolved across both human and machine contributors. The assumption behind this idea is that future knowledge creation will increasingly become a collaborative process between humans and AI, requiring lineage systems that capture contributions from both.