Round 1 Submission
James Burrell, Alexander Flores · Team Rand#1
Submitted to Berkeley AI Policy Hackathon. Projects from partner hackathons are early-stage work by participants, not Apart Research publications.
Our round one submission for the UC Berkeley AI Policy Hackathon
Reviews
No public critique yet.
Cite this project
@misc{burrell2025round,
title = {{Round 1 Submission}},
author = {James Burrell and Alexander Flores},
year = {2025},
month = apr,
note = {Submitted to Berkeley AI Policy Hackathon, a partner hackathon},
howpublished = {\url{https://apartresearch.com/sprints/projects/round-1-submission-9ven}},
url = {https://apartresearch.com/sprints/projects/round-1-submission-9ven}
}More from Berkeley AI Policy Hackathon
- View project: Recursive Fitness Alignment Protocol (RFAP)
Recursive Fitness Alignment Protocol (RFAP)
CC4CI — Caribbean Center for Collective Intelligence
The Recursive Fitness Alignment Protocol (RFAP) is a minimal testbed for aligning reasoning systems—AI, human, or institutional—through recursive self-correction. Rather than optimizing for fixed goals or architectures, …
- View project: Recommendation to Establish the California AI Accountability and Redress Act
Recommendation to Establish the California AI Accountability and Redress Act
Taylor Avenue
We recommend that California enact the California AI Accountability and Redress Act (CAARA) to address emerging harms from the widespread deployment of generative AI, particularly large language models (LLMs), in public …
- View project: CalSandbox and the CLEAR AI Act: A State-Led Vision for Responsible AI Governance
CalSandbox and the CLEAR AI Act: A State-Led Vision for Responsible AI Governance
Kalani & Gomes
The CLEAR AI Act proposes a balanced, forward-looking framework for AI governance in California that protects public safety without stifling innovation. Centered around CalSandbox, a supervised testbed for high-risk AI …