AiEO Visibility Challenge

Analyze how generative AI represents organizations, programs and communities, identifying inaccuracies and proposing solutions to improve AI reliability.

Équipes
2 à 4 personnes

Evaluation Criteria

Submissions will be judged by a panel of judges based on the following criteria:

Judging Criteria	Description	Weight (%)	Rating Scale
Originality and Creativity	Does the submission demonstrate a fresh, creative take on the challenge theme? Does it push creative boundaries within the challenge constraints? (for Phase 2 and Final Pitch) Is the idea original or does it significantly improve upon existing solutions? (for Phase 2 and Final Pitch) Is the concept ambitious, novel or unique?	25	1–10
Technical Execution	Does the submission reveal meaningful patterns or trends, highlight unexpected findings or raise new questions worth exploring? Are the data sources credible and relevant, with assumptions clearly stated and the methodology transparent and sound? (for Phase 2 and Final Pitch) Is the solution technically sound, functional and clearly communicated? (for Phase 2 and Final Pitch) Does the technical solution align well with the challenge theme?	25	1–10
Impact and Feasibility	Does the analysis align with the challenge goals while demonstrating subject-matter expertise, awareness of equity considerations and understanding of real-world impacts? (for Phase 2 and Final Pitch) Is the solution meaningful and realistically implementable? (for Phase 2 and Final Pitch) Does the team present a viable path for implementation or growth? (for Phase 2 and Final Pitch) Could this realistically be developed further beyond the scope of the challenge?	25	1–10
Presentation and Communication	Are the findings clearly presented, with well-designed visuals and content that is easy to understand for non-expert audiences? How well does the team communicate their idea and its value? (for Final Pitch) Did all members of the team participate in the presentation? (for Final Pitch) Is the pitch engaging, well-structured, and accessible to a non-technical audience? (for Final Pitch) Do the presentation materials enhance the clarity of the project?	15	1–10
Team Composition and Collaboration	Does the team bring together a diverse range of skills and perspectives? Does the team represent diverse backgrounds or disciplines? Do team members contribute complementary skills (e.g., design, development, research, marketing)? Is there evidence of effective teamwork and collaboration?	10	1–10