AI Monitoring as a Rapid and Scalable Policy Solution: Weekly Global Bulletins on AI Developments
Ilke Masa · Team 1
Submitted to Howard University AI Safety Summit & Policy Hackathon. Projects from partner hackathons are early-stage work by participants, not Apart Research publications.
Weekly AI monitoring bulletins that disseminated through official national and international channels aim to keep the public informed of both the positive and negative developments in AI, empowering individuals to take an active role in safeguarding against risks while maximizing AI’s societal benefits.
Reviews
The proposal thoroughly addresses the information gap in AI governance through an accessible and scalable solution with clear distribution channels and content structure. The implementation plan could benefit from more specific cost estimates and funding mechanisms.
Cite this project
@misc{masa2024ai,
title = {{AI Monitoring as a Rapid and Scalable Policy Solution: Weekly Global Bulletins on AI Developments}},
author = {Ilke Masa},
year = {2024},
month = nov,
note = {Submitted to Howard University AI Safety Summit \& Policy Hackathon, a partner hackathon},
howpublished = {\url{https://apartresearch.com/sprints/projects/ai-monitoring-as-a-rapid-and-scalable-policy-solution-weekly-global-bulletins-on-ai-developments}},
url = {https://apartresearch.com/sprints/projects/ai-monitoring-as-a-rapid-and-scalable-policy-solution-weekly-global-bulletins-on-ai-developments}
}More from Howard University AI Safety Summit & Policy Hackathon
- 1st place by peer reviewView project: Promoting School-Level Accountability for the Responsible Deployment of AI and Related Systems in K-12 Education: Mitigating Bias and Increasing Transparency
Promoting School-Level Accountability for the Responsible Deployment of AI and Related Systems in K-12 Education: Mitigating Bias and Increasing Transparency
This policy memorandum draws attention to the potential for bias and opaqueness in intelligent systems utilized in K–12 education, which can worsen inequality. The U.S. Department of Education is advised to put Title I …
- View project: Implementing a Human-centered AI Assessment Framework (HAAF) for Equitable AI Development
Implementing a Human-centered AI Assessment Framework (HAAF) for Equitable AI Development
Humans for Human-Centered AI
Current AI development, concentrated in the Global North, creates measurable harms for billions worldwide. Healthcare AI systems provide suboptimal care in Global South contexts, facial recognition technologies …
- View project: A Fundamental Rethinking to AI Evaluations: Establishing a Constitution-Based Framework
A Fundamental Rethinking to AI Evaluations: Establishing a Constitution-Based Framework
Unit 1112
While artificial intelligence (AI) presents transformative opportunities across various sectors, current safety evaluation approaches remain inadequate in preventing misuse and ensuring ethical alignment. This paper …