Evaluation Criteria
- Innovative Contribution to AI (20%)
- Advancing the theoretical understanding of AI.
- Creating or implementing AI-driven products or solutions that address key challenges in technology, business, or society.
- Real-World Impact of AI Work (35%)
- Positive effects on society, such as contributions or education to project people, etc.
- Cultivating and inculcating AI tools, practices and techniques.
- Leadership in AI Ethics & Responsibility (20%)
- Promoting ethical AI use, ensuring fairness, transparency, and accountability in AI systems.
- Leadership in ensuring diverse representation within AI development and its application.
- Influence on AI Community (15%)
- Contributions to the professional development of the AI community, including mentorship and leadership roles.
- Establishing or contributing to educational programs that further the knowledge and understanding of AI.
- Vision for the Future of AI (10%)
- A clear, actionable vision for AI’s future and how their work aligns with this vision.
- Identifying and advancing emerging fields within AI, such as explainable AI, AI governance, or AI in emerging economies.
