A look at AI chatbots modeled on real experts, like US psychologist Martin Seligman, that are often created without permission, highlighting a policy gray area
New AI-generated digital replicas of real experts expose an unnerving policy gray zone. Washington wants to fix it, but it's not clear how. Mastodon: @carnage4life@mas.to Mastodon: Dare Obasanjo / @carnage4life@mas.to : This article raises a new class of copyright concerns for generative AI. An AI can be trained on an individual's writing and a chatbot that sounds like them created. For instance, a “carnage4life” bot based on my posts here. …
Context & Ripple Effects
Generative AI was already expanding the supply of written material, with related coverage noting that AI-generated books and personalized articles were reducing demand for some human-written work as AI-generated publishing and personalization spread. This case extends that dynamic from producing content to packaging a recognizable expert's voice as an interactive product.
The unresolved issue is not merely whether a model can imitate a style, but whether an individual has enforceable control when their writings are used to create a persuasive digital stand-in. That puts copyright, identity, and user-trust questions into the same policy gap.
First-order effects
- Experts whose public writing can be used for training face unauthorized chatbot versions that may speak in their apparent voice, without a clear permission or compensation path.
- Developers of expert-modeled bots face immediate uncertainty over whether copyright rules adequately cover the use of a person's writings to create an interactive replica.
Second-order effects
- Organizations deploying expert-facing assistants may need to distinguish licensed expertise from unlicensed imitation, since the latter can create attribution and trust risks for users.
- Policymakers are pushed toward rules that address both source material and persona-like behavior, rather than treating generative-AI copyright as only a text-copying question.
Third-order effects
- If expert replicas become common, likeness governance may evolve into a distinct layer of AI policy alongside copyright, covering consent, disclosure, and accountability for simulated authority.
- The market could split between authorized expert agents and generic assistants, though the boundary will depend on how policymakers define protectable identity and imitation.
The trend: This is part of a broader shift from generative AI as a content tool to AI as a deployable simulation of human identity and authority.