Questions

Who is responsible for a belief that reached you through a machine?

Short answer

Responsibility falls mostly on you and on the people who built and deployed the machine, though not in the way a speaker is responsible for what she tells you. When you rely on a language model, the warrant for your belief is generated by your own use, so the burden of checking falls on you. Its makers answer for putting it into the world and for how it behaves, but responsibility for a system is not authorship of its sentences.

When someone tells you something, responsibility for your belief is shared. She is answerable for what she said; you are answerable for whether it was reasonable to take her word. That sharing is part of what lets testimony carry knowledge: you can defer, because the warrant runs through her.

Where the load falls with a machine

When the source is a language model, the warrant does not run through it. As I argue in Is an AI chatbot an informant or an instrument?, your standing is that of a reader of an instrument: whatever warrant you have is generated by your own use of it, by its record on questions like yours and your competence in reading it. The load of checking is therefore yours in a way it is not when a competent person tells you something.

This describes where the epistemic work has to be done, if it is to be done at all, and carries no moral accusation against users.

What the makers answer for

Goldberg contrasts relying on an epistemic subject, who can be assessed for rationality and responsibility, with relying on a mechanism, assessable for reliability alone, where the normative burden falls on the user. The attributions of responsibility to designers, deployers and operators, distributed across many hands in Nissenbaum’s sense, should be conceded: they are how we already treat certified instruments, whose makers we blame and whose deployment we regulate.

Those attributions do not, however, turn the system’s outputs into anyone’s testimony. A spokesperson relays a message her principal has authorised and would stand behind, whereas a deployer has not seen the output, does not believe it and disclaims it. Responsibility for putting a system into the world is not authorship of its sentences.

The open part

Our practices of blame and trust were built for the first kind of chain, the kind made of people. Chains that run partly through machines redistribute responsibility in ways those practices do not yet track, and that is why I count the question among the open ones. What is open is not whether responsibility vanishes but how to draw its new distribution accurately enough to act on.

Questions people also ask

Can I blame the AI if it misled me?

You can criticise it for failing at the function it was built for, as you would a faulty instrument, but you cannot hold it answerable as you hold a person who told you something, by asking for her grounds or holding her to her word.

Are AI companies responsible for false answers?

They are answerable for deploying a system and for how it is designed and described, in the way the makers of certified instruments are answerable for them. A deployer, however, has not seen the particular answer, does not believe it and disclaims it in the terms of service, which is not the relation of a principal to a message her spokesperson relays.

Read next

In the library

Sources and further reading

  1. Saxena, A. (2026). Assertion without a speaker: Testimony, tracking, and large language models. Episteme, 1–22.doi.org/10.1017/epi.2026.10160
  2. Nissenbaum, H. (1996). Accountability in a computerized society. Science and Engineering Ethics 2(1): 25–42.doi.org/10.1007/bf02639315
  3. Goldberg, S. C. (2012). Epistemic extendedness, testimony, and the epistemology of instrument-based belief. Philosophical Explorations 15(2): 181–197.doi.org/10.1080/13869795.2012.670719

Cite this page

Saxena, A. (2026). Who is responsible for a belief that reached you through a machine? abhinavsaxena.in. https://abhinavsaxena.in/questions/epistemic-responsibility/