Skip to content
#explainable ai Book Open access

The Empty Occupant: Answerability, Testimony, and the Limits of Machine-Mediated Authority

Oct 2026 · Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI

Abstract

An institution can identify who is legally responsible for an automated decision and still lack an effective way to make a justified challenge change its outcome. What, then, sustains its authority to demand compliance? The Empty Occupant: Answerability, Testimony, and the Limits of Machine-Mediated Authority investigates this problem across philosophy of language, social epistemology, institutional theory, and automated administration. It connects three questions often examined separately: who owns an institutional commitment, what warrants adopting machine-generated content, and whether the resulting obligations can be serviced at the scale of deployment. The monograph develops a framework for distinguishing genuine institutional participation from its conversational appearance. Its concepts of Normative Sponsorship, Deontic Debt, and Institutional Insolvency explain how responsibility can remain identifiable while review, correction, and repair become ineffective—and why those failures matter for continued authority. Bounded analyses of Robodebt, Air Canada’s chatbot, TennCare, Post Office Horizon, and the Dutch childcare-benefits affair connect the philosophical arguments to documentary evidence. Positive conceptual comparators, a worked obligation ledger, and a proposed audit specification extend the inquiry to functioning hybrid institutions and prospective oversight. The volume offers researchers a vocabulary for examining whether institutional reasons can actually govern what automated systems are permitted to do. -- Earlier formulations of the arguments developed have circulated as preprints on Zenodo and PhilArchive. This monograph integrates, revises, and extends those arguments within a unified framework. It is the author’s preferred reference for the consolidated presentation; the earlier papers document the development of the individual arguments: Cott, N. (2026). Deontic Debt and Institutional Insolvency: Answerability and the Limits of Scalable Authority. Zenodo. https://doi.org/10.5281/zenodo.23175523 Cott, N. (2026). Normative Sponsorship Under Opacity: When Institutions May Own Machine-Mediated Commitments. Zenodo. https://doi.org/10.5281/zenodo.23153361 Cott, N. (2026). Testimony Without a Testifier: Epistemic Value and Commitment Ownership in Institutional AI. Zenodo. https://doi.org/10.5281/zenodo.23153358 Cott, N. (2026). Answerability and Institutional Commitment: Why Missing Bearership Is Not Defective Ownership. Zenodo. https://doi.org/10.5281/zenodo.23153297 Cott, N. (2026). Empty Occupancy: Answerability and the Ownership of Machine-Mediated Institutional Commitments. Zenodo. https://doi.org/10.5281/zenodo.23151642

View source

Similar papers

#artificial intelligence Conference Open access Apr 2020

ECCOLA - a Method for Implementing Ethically Aligned AI Systems

The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.

Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson · 64 citations · ⚡6
#computer vision Review Apr 2024

AI-powered Code Review with LLMs: Early Results

The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.

Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al. · 62 citations · ⚡3
#computer vision Open access Mar 2024

LLM-based agents for automating the enhancement of user story quality: An early report

The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.

Zheying Zhang, M. Rayhan, Tomas Herda et al. · 48 citations · ⚡4
#computer vision Review Mar 2024

System for systematic literature review using multiple AI agents: Concept and an empirical evaluation

This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.

Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al. · 44 citations · ⚡2
#computer vision Feb 2024

Can Large Language Models Serve as Data Analysts? A Multi-Agent Assisted Approach for Qualitative Data Analysis

The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.

Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al. · 41 citations
#artificial intelligence Conference Open access Jun 2018

The Key Concepts of Ethics of Artificial Intelligence

It is suggested that the focus on finding keywords is the first step in guiding and providing direction for future research in the AI ethics field.

Ville Vakkuri, P. Abrahamsson · 39 citations · ⚡2

Related blog posts

MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.