AI ethics evidence index Search
Source-linked daily record
Evidence record 16670 · automatically gathered

Manipulation-Proof Oblivious Audits against Deceptive Model Providers

Audits have emerged as a critical instrument for algorithmic governance, providing a mechanism for external scrutiny and governance of machine learning models. However, ensuring the integrity of such assessments remains a challenging issue. For instance in regulatory contexts, audits are typically declared or easily detected, thus enabling model providers to manipulate the process, whether intentionally or inadvertently. This vulnerability is particularly acute in the context of fairness evaluat

Record details

Published: 5 August 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Regulation · Transparency
Retrieved: 6 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Bias & fairness · Shared topic: Regulation

AIDLC–governance indicator framework: a lifecycle-based approach to institutional AI governance

AI & Society · 4 August 2026

Shared topic: Bias & fairness · Shared topic: Regulation

Whose ethics? Whose AI? Refining the Philippine AI Regulation Act toward a Contextual AI Ethic

AI & Society · 4 August 2026

Shared topic: Bias & fairness · Shared topic: Regulation

Language Models as a Challenge for Business Ethics – A Partially Open-Source Approach

Science and Engineering Ethics · 14 August 2026

Shared topic: Bias & fairness · Shared topic: Regulation

Financial Audit Assistance using Misinformation Detection and Explanation

arXiv · 20 July 2026

Shared topic: Bias & fairness · Shared topic: Regulation

Sequential Fairness Auditing with Limited Output Access

arXiv · 29 June 2026

Shared topic: Bias & fairness · Shared topic: Regulation

A Variational Framework for LLM Generator-Regulator Games

arXiv · 16 June 2026

How to cite this record

ethics.ai (5 August 2026), “Manipulation-Proof Oblivious Audits against Deceptive Model Providers,” evidence record 16670, https://ethics.ai/record/16670 (originally published by arXiv).

JSON

Use and limitations

This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.