Comments on AI Accountability Policy to NTIA

Catalog Row52

Citation KeyFriedman2023CommentsAIAccountabilityPolicy052

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Platform availability

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✅ Full documentation

Overview

Extracted from the local paper documentation when available.

Comments submitted to the NTIA's Request for Comment on AI Accountability Policy (Docket No. NTIA-2023-0005-0001) by the University of Washington Applied Physics Lab Information Risk and Synthetic Intelligence Research Initiative (IRSIRI), Active Inference Institute (AII), Pivot for Humanity (PFH), and Cognitive Security and Education Forum (COGSEC). The submission addresses AI accountability...

AI accountabilityNTIApolicy commentcognitive securityP3IFinformation riskAI governancesynthetic intelligence

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts

Comments Submitted by University of Washington APL Information Risk and Synthetic Intelligence Research Initiative (IRSIRI), Active Inference Institute (AII), Pivot for Humanity (PFH), and Cognitive Security and Education Forum (COGSEC) to the National Telecommunications and Information Administrat
NTIA-2023-0005-0001..

Methods / Techniques

Narrative analysis
Trust and integrity modeling

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2023. Comments on AI Accountability Policy to NTIA. NTIA. DOI: 10.5281/zenodo.8025956. URL: https://doi.org/10.5281/zenodo.8025956.

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