Human Control Is the Anchor, Not the Answer: Early Divergence of Oversight in Agentic AI Communities

TL;DR

This paper analyzes early-stage oversight expectations in two Reddit communities related to agentic AI, revealing role-specific meanings of 'human control' and emphasizing tailored oversight mechanisms over one-size-fits-all solutions.

Contribution

It introduces a comparative analysis of community-specific oversight expectations, highlighting the divergence in the operational meaning of 'human control' in different socio-technical roles.

Findings

Communities are strongly separable based on oversight themes.

'Human control' means different things in deployment vs. social interaction communities.

Role-specific oversight expectations can inform tailored AI governance.

Abstract

Oversight for agentic AI is often discussed as a single goal ("human control"), yet early adoption may produce role-specific expectations. We present a comparative analysis of two newly active Reddit communities in Jan--Feb 2026 that reflect different socio-technical roles: r/OpenClaw (deployment and operations) and r/Moltbook (agent-centered social interaction). We conceptualize this period as an early-stage crystallization phase, where oversight expectations form before norms reach equilibrium. Using topic modeling in a shared comparison space, a coarse-grained oversight-theme abstraction, engagement-weighted salience, and divergence tests, we show the communities are strongly separable (JSD =0.418, cosine =0.372, permutation $p=0.0005$). Across both communities, "human control" is an anchor term, but its operational meaning diverges: r/OpenClaw} emphasizes execution guardrails and recovery (action-risk), while r/Moltbook} emphasizes identity, legitimacy, and accountability in public interaction (meaning-risk). The resulting distinction offers a portable lens for designing and evaluating oversight mechanisms that match agent role, rather than applying one-size-fits-all control policies.