# Systemic Regulation of Artificial Intelligence — one-page summary

**Paper ID:** `ssrn-4666854`
**Year:** 2024
**Author(s):** Yonathan Arbel
**SSRN:** https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4666854

## TL;DR

Professor Yonathan Arbel of the University of Alabama School of Law argues that AI presents comprehensive, society-wide risks, from current harms like bias to potential existential threats, primarily due to the critical AI alignment problem. He advocates for systemic, precautionary regulation targeting AI as a technology, not just its applications. This approach is necessary due to AI's unique characteristics, its potential for rapid, unexpected advancements, and the inadequacy of existing legal frameworks. Arbel explores domestic, litigation-based, and international governance strategies to manage these profound challenges and ensure AI develops safely and beneficially.

## Keywords

contracts; AI; law

## Files

- Full text: `papers/ssrn-4666854/paper.txt`
- PDF: `papers/ssrn-4666854/paper.pdf`
- Summary (EN): `papers/ssrn-4666854/summary.md`
- Summary (ZH): `papers/ssrn-4666854/summary.zh.md`

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