Context and Symmetry in Auditing: A Case Study of Skeleton Inference in Motion Capture
arXiv:2608.10194v1 Announce Type: new Abstract: 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., deter
Record details
Published: 12 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Transparency
Retrieved: 12 August 2026
Related evidence
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.
Context and Symmetry in Auditing: A Case Study of Skeleton Inference in Motion Capture
arXiv · 10 August 2026
Patients With Personality: Realistic Patient Simulation through Controlled Diversity and Selective Disclosure
arXiv cs.CY · 12 August 2026
Auditable AI-Assisted Research Writing: An Engineering Discipline with Pre-Registered Process Observation
arXiv cs.CY · 12 August 2026
Who Gets Heeded? An Obligation-Level Audit of Responsiveness in EPA Rulemaking
arXiv cs.CY · 12 August 2026
Beyond Memory: A Transactional Continuity Kernel for Long-Lived AI Agents
arXiv · 12 August 2026
JieZi: A Large-Scale Expert-Audited Dataset and Benchmark for Ancient Chinese Character Exegesis
arXiv · 12 August 2026
How to cite this record
ethics.ai (12 August 2026), “Context and Symmetry in Auditing: A Case Study of Skeleton Inference in Motion Capture,” evidence record 18350, https://ethics.ai/record/18350 (originally published by arXiv cs.CY).
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.