HarmonyVote

Initiative Title: Ethical Artificial Intelligence Research Promotion Act

Description:

1. Public Funding for Ethics-Aligned AI Research:
   Establish dedicated national and international funds to support AI research projects that explicitly prioritize fairness, interpretability, environmental sustainability, and alignment with societal values.

2. Global AI Ethics Research Network:
   Create a network of academic and non-profit institutions tasked with collaborative research on AI safety, bias mitigation, human-AI collaboration, and value alignment. Facilitate cross-border knowledge exchange.

3. Mandatory Ethics Review for Public AI Projects:
   Require all government-funded AI research to pass independent ethics reviews, similar to human subject research protocols. Reviews will assess risks, bias, societal impact, and transparency.

4. Support for Underrepresented Voices in AI Research:
   Fund scholarships, fellowships, and incubators to bring historically underrepresented groups—including women, minorities, and researchers from the Global South—into AI research communities.

5. Open Access and Reproducibility Standards:
   Promote ethical transparency by requiring that funded research publish open-source code, datasets (when privacy allows), and reproducibility documentation.

6. AI Ethics Education in STEM Curricula:
   Integrate courses on AI ethics, philosophy of technology, and policy implications into computer science, data science, and engineering degrees globally.

7. AI for Social Good Initiatives:
   Prioritize research projects that address public interest challenges—such as climate adaptation, healthcare access, disaster resilience, or democratic participation.

8. Long-Term Risk and Existential Safety Research:
   Support specialized teams studying long-horizon risks from advanced AI systems, including misalignment, control problems, and global governance challenges.

Possible Outcomes and Implications:

• Stronger Alignment of AI with Human Values: Avoids unintended harm by embedding ethical principles at the research stage.
• Inclusive Global AI Community: Broadens participation and prevents dominance by a few powerful nations or companies.
• Public Trust in AI Systems: Transparency and accountability in research foster greater legitimacy and social acceptance.
• Acceleration of AI for Public Good: Directs research efforts toward solving pressing global challenges.
• Early Risk Mitigation: Reduces the probability of catastrophic misuse or misalignment as AI capabilities advance.

Votes: