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Evidence record 18441 · automatically gathered

Context and Symmetry in Auditing: A Case Study of Skeleton Inference in Motion Capture

Humans are increasingly expected to interact with AI systems that observe and make inferences about them - but do these systems actually work? A standard approach to answering this question is AI auditing. Conducting an AI audit requires identifying how a system behaves (i.e., determining what types of inputs to audit it with and then observing and documenting actual system behavior) and contrasting that with how a system should behave (i.e., determining what the nominal outputs of a system shou

Record details

Published: 10 August 2026
Source: arXiv
Category: Research
Topics: Transparency
Retrieved: 12 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.

Same publisher byline · Shared topic: Transparency

Context and Symmetry in Auditing: A Case Study of Skeleton Inference in Motion Capture

arXiv cs.CY · 12 August 2026

Shared topic: Transparency

Multimodal Model Diffing for Feature Discovery and Control

arXiv cs.AI · 10 August 2026

Shared topic: Transparency

Comprendia: AI-Augmented Code Comprehension

arXiv cs.HC · 10 August 2026

Shared topic: Transparency

Neuroevolution Arena: Nested Ecological Evaluation of Update-and-Inheritance Regimes across Neural Architectures

arXiv · 10 August 2026

Shared topic: Transparency

KGCaRe: Explainable Complex Conditional Question Answering using Automatic Knowledge Graph Construction and Context Retrieval with LLMs

arXiv cs.AI · 10 August 2026

Shared topic: Transparency

Visual-to-Haptic Augmentation in XR: A Wearable Glove for Perceptual Grounding in Multimodal Interaction

arXiv cs.HC · 11 August 2026

How to cite this record

ethics.ai (10 August 2026), “Context and Symmetry in Auditing: A Case Study of Skeleton Inference in Motion Capture,” evidence record 18441, https://ethics.ai/record/18441 (originally published by arXiv).

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