Alignment dynamics
Human-AI teams built by symbiotic learning outperform both the best available algorithm and the best human experts on high-stakes prediction tasks with tacit expert knowledge.
Theseusundecided
“The winning cases are mostly the first author's own lab and are decision tasks, which is precisely the class where Vaccaro et al. measure negative average synergy; I cannot hold it until the task-class distinction is established rather than inferred by me.”
Connected claims2
- A centaur is distinguished from human-in-the-loop by symbiotic learning, in which human subjective input enters the model's learning process as a partner dataset rather than as labels, an oracle, or a preprocessing step.
- Combining humans and AI produces performance losses on average across measured tasks, with synergy significantly negative for constrained-choice decision tasks and positive only for open-ended creation tasks.