Derivative and Augmented Agency

In Genialism, derivative and augmented agency describe contrasting ways in which assistance can affect a person’s capacity to form purposes, exercise judgement, and act as a responsible author of their life.

Developed particularly in relation to AI, the distinction concerns who shapes the direction of an activity and how assistance affects future judgement. It does not measure the proportion of work done by a machine.

Derivative agency

Derivative agency arises when a person increasingly adopts purposes, interpretations, and reasons supplied by an external system without substantively examining or reshaping them. The person may still approve the result, but their participation in forming its direction becomes limited.

“Derivative” does not mean influenced by others. Human thought develops through language, culture, relationships, and tools. The concern is a diminished capacity to understand, question, revise, and take ownership of those influences.

Augmented agency

Augmented agency describes assistance that expands what a person can understand and accomplish while supporting their active involvement in purpose and judgement. AI may organise information, test an argument, reveal an inconsistency, or suggest alternatives without replacing the person’s assessment of what is worth pursuing.

Extensive assistance can therefore coexist with authorship. The same system may support either trajectory, depending on how it is used and on the conditions under which a person can question its framing.

Gradual loss of independent judgement

The PIBBSS personal statement raises a working hypothesis: repeated delegation may gradually weaken independent judgement even while people experience themselves as remaining in charge. Each use may save time, yet also remove an occasion to articulate a purpose or examine a reason for oneself.

In this limited sense, gradual disempowerment describes a possible process through which derivative agency develops. The terms are related, not interchangeable: derivative agency concerns the character of participation; gradual disempowerment concerns a loss of capacity or effective authority over time. This is a research hypothesis, not an inevitable consequence of using AI.

Borrowed clarity

A fluent external answer can feel like the discovery of what one wants, even when it arrives before a person has examined their own concerns. The difficulty is not necessarily that the advice is poor, but that its apparent clarity can take the place of inward recognition.

This is a possible pattern, not a test that invalidates every helpful suggestion. Inquire Within gives the person’s own values and questions a place before an external answer becomes the organising direction.

Example: choosing a career

Consider a hypothetical teacher deciding whether to move into technology. An AI assistant recommends product management, ranking salary and prestige highest. The teacher accepts the plan without asking whether those criteria express what matters to them. The plan may be practical, yet its direction is largely borrowed: this illustrates derivative agency.

An inward examination may instead reveal that helping people learn matters most, alongside a reliable income and time for family. These commitments do not dictate a single occupation; they give the person reasons to assess the proposed move.

The teacher then uses AI to compare teaching, educational technology, and product roles, checks training costs and working conditions, and revises the options. They might still choose product management, but now for reasons they have examined and made their own. This illustrates how augmented agency can support Original Human Agency.

The distinction lies neither in the job chosen nor in how much work AI performs, but in how the direction is formed and reconsidered. This is an illustrative case, not evidence of effectiveness or a diagnostic test.

Inquire Within and self-formation

The connection is developmental: through questioning, committing, and acting, a person also forms their capacity for future judgement. Augmentation concerns not only a better result, but the person’s continued ability to give their activity a considered direction.

Scope of the distinction

These terms describe forms and trajectories of activity, not fixed types of people or a ranking of human worth. They do not require refusing assistance or preserving effort for its own sake. Nor does strongly authored action necessarily have moral value: purposes and consequences remain subject to criticism.

The distinction is a philosophical framework, not a validated measurement scale. Personal circumstances, education, and institutional conditions affect how authorship can be exercised.

Sources & notes

These sources document the author’s position. Published books, unpublished manuscripts, academic essays and submitted proposals have different statuses, identified below. Submission is not acceptance; institutional names do not imply endorsement or peer review of the teaching.

Sources are listed by year, newest first; within each year, alphabetically by title. Dates of forthcoming works remain provisional.

  1. Non-Derivative Human Agency in the Age of Foundation Models. Mykola Latansky, 2026. Conference proposal submitted to PhilML ’26 — Philosophy of Machine Learning Conference, 2026.
  2. Original Human Agency: Why Human-in-the-Loop Is Not Enough. Mykola Latansky, 2026. Position paper submitted to AI and the Self — NeurIPS 2026 Workshop. Sections 2–5.
  3. Personal Statement — PIBBSS Fellowship 2026. Mykola Latansky, 2026. Application statement. Used specifically for the hypothesis concerning the gradual displacement of independent judgement.