# 🛡️ Comments on AI Accountability Policy to NTIA

**Scott David, R.J. Cordes, Daniel A. Friedman (UW APL IRSIRI, AII, PFH, COGSEC)** (2023) · *NTIA*

[![DOI](https://img.shields.io/badge/DOI-10.5281%2Fzenodo.8025957-blue)](https://doi.org/10.5281/zenodo.8025957)

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## Abstract

> This paper presents recommendations on the implementation of AI technologies, emphasizing the need for nuanced regulatory frameworks rather than blanket policies. It argues that the National Telecommunications and Information Administration (NTIA) is well-positioned to facilitate adaptive regulatory structures that address the complexities of AI.

## Keywords

`AI accountability` · `NTIA` · `policy comment` · `cognitive security` · `P3IF` · `information risk` · `AI governance` · `synthetic intelligence`

## Key Contributions

- Advocates for a shift from blanket regulation of AI to more adaptive regulatory frameworks.
- Highlights the unique interdisciplinary perspectives of collaborating organizations on AI governance.
- Proposes the establishment of professionalization and insurance structures for AI technologies.
- Emphasizes the importance of the NTIA's role in facilitating discussions and recommendations on AI regulation.

## Methods

- Conducted a synthesis of perspectives from various organizations involved in AI and information risk management.
- Analyzed the implications of blanket regulation versus adaptive regulatory frameworks.
- Engaged in interdisciplinary discussions to inform recommendations on AI governance.
- Utilized case studies and examples to illustrate the complexities of AI regulation.

## 🎯 Consulting & Tutoring

**Available for AI Research Consulting and Tutoring.** [Contact Daniel Ari Friedman, PhD](https://danielarifriedman.com/) for collaboration on Active Inference, Bayesian modeling, and computational biology.

## Citation

```bibtex
@article{2023_AIAccountability,
  author = {Scott David, R.J. Cordes, Daniel A. Friedman (UW APL IRSIRI, AII, PFH, COGSEC)},
  title = {{Comments on AI Accountability Policy to NTIA}},
  journal = {NTIA},
  year = {2023},
  doi = {10.5281/zenodo.8025957},
}
```

## File Inventory

- `AGENTS.md` (1,745 bytes)
- `2023_AIAccountability.pdf` (554,792 bytes)
- `README.md` (1,346 bytes)
- `SKILL.md` (1,625 bytes)