General Participation Rules:
-
Eligibility:
- The hackathon is open to students, professionals, and AI enthusiasts of all skill levels.
- Participants may compete in one of three categories: Institution, Team, or Individual.
- Participants must register via the official event platform and submit their projects through Devpost before the deadline.
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Team Formation:
- Teams may consist of up to 5 members.
- Each participant can only join one team.
- Participants may choose to compete individually (under the Individual category) or as part of a team (under the Team or Institution categories).
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Tracks & Categories:
- Institutions must choose from either Track 2 (AI-to-Video Production) or Track 3 (AI Chatbot Assistant Development).
- Teams may choose from either Track 1 (Text-to-Image Creation) or Track 2 (AI-to-Video Production).
- Individuals may compete only in Track 1 (Text-to-Image Creation).
Submission Rules:
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Devpost Submission:
- All projects must be submitted via Devpost by the specified deadline. Late submissions will not be accepted.
- Each submission must include all the required components, such as the project title, description, AI prompts, and any relevant media (videos, images, or chatbot demos).
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Track-Specific Rules:
- Text-to-Image Creation: Participants must submit AI-generated images and explain the prompts used to generate them.
- AI-to-Video Production: Submit a video showcasing AI-driven or AI-enhanced content that addresses an Urban Health challenge.
- AI Chatbot Assistant Development: Provide a working demo or link to the chatbot along with technical documentation and use cases.
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Original Work:
- All submissions must be the original work of the participant(s) created during the hackathon period. Pre-existing work or code may only be used if it is open-source and properly credited.
- Plagiarism, including the uncredited use of AI-generated or third-party assets, is strictly prohibited and will result in disqualification.
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Single Submission:
- Each team or individual is allowed to submit one project per the category and track they are competing in. Multiple submissions will not be accepted.
AI Prompt-A-Thon Judging Rules and Scoring Criteria
Overview
The judging process for the AI Prompt-A-Thon will follow a double-blind review, where both AI and human judges will evaluate submissions independently. To ensure fairness, submissions will be anonymized, and judges will not know the identities of the participants. A combined score from AI judges and human judges will determine the winners. Participants must rank in the top tier for both categories to win.
Categories for Judging
- Institution Awards (Non-Profit Projects)
- Team Awards
- Individual Awards
Judging Rules:
-
Double-Blind Review:
- Both AI and human judges will review each submission without knowing the identity of the participants.
- Judges will evaluate the submissions based on predefined criteria and assign scores independently.
- AI will analyze aspects like prompt efficiency, creativity, and adherence to the challenge guidelines.
- Human judges will focus on overall impact, innovation, and practical applications.
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Combined Scoring:
- Each submission will receive a score from the AI and a score from the human judges.
- To be eligible to win, submissions must be ranked highly by both AI and human judges.
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Transparency & Fairness:
- No judge will have access to participant information.
- All results will be reviewed to ensure fairness and eliminate any potential bias.
Scoring Criteria per Category
1. Institution Awards (Non-Profit Projects)
Focus: Solving Urban Health challenges through innovative AI-driven projects for the public good.
|
Criteria |
Weight |
Description |
|
|
Impact on Urban Health |
30% |
How effectively the solution addresses a critical Urban Health issue (e.g., healthcare access, public health, or environmental impact). | |
|
Innovation |
25% |
Originality of the approach in using AI to create solutions. | |
|
Feasibility |
20% |
The practicality of implementing the solution in real-world settings, including its scalability and sustainability. | |
|
Technical Execution |
15% |
|
|
|
Ethical Considerations |
10% |
Adherence to ethical standards in AI development, especially in healthcare-related solutions (e.g., patient privacy, bias reduction). |
2. Team Awards
Focus: Collaborative efforts in solving AI challenges.
|
Criteria |
Weight |
Description |
|
Team Collaboration |
25% |
How well the team worked together to leverage their collective skills to create an AI solution. |
|
Prompt Design Creativity |
20% |
The level of creativity shown in designing AI prompts that guide models to generate effective results. |
|
Solution Relevance |
20% |
The solution's relevance to the specific health challenge presented. |
|
Technical Execution |
20% |
Effective use of AI tools and models, technical complexity, and problem-solving. |
|
Impact |
15% |
The expected benefit or impact of the solution on the challenge, particularly in healthcare or urban health contexts. |
3. Individual Awards
Focus: Individual excellence in AI prompt design and healthcare innovation.
|
Criteria |
Weight |
Description |
|
Prompt Effectiveness |
30% |
How well the prompts created by the individual guide the AI to produce accurate, relevant, and impactful outputs. |
|
Creativity |
25% |
Originality in the prompt design and problem-solving approach. |
|
Understanding of AI Tools |
20% |
Demonstrated understanding of AI capabilities and limitations when designing prompts. |
|
Clarity and Specificity |
15% |
How clear and specific the prompts are in guiding AI models, ensuring unambiguous and accurate responses. |
|
Ethical Compliance |
10% |
Consideration for ethical use of AI, particularly in healthcare-related tasks. |
JUDGING PROCESS
Submission Anonymization:
- All submissions will be anonymized to remove any identifying information.
Human Judge Review:
- A panel of expert judges will evaluate the submissions based on criteria such as innovation, impact, and technical execution.
- Human judges will also assign a score out of 100 for each submission.
Score Aggregation:
- The final score will be an aggregate of both the AI and human judges’ scores.
- A submission must rank highly in both categories to be eligible for an award.
Final Selection:
- Winners will be selected based on the combined scores, ensuring they performed well in both AI and human judging.
Hackathon Conduct Rules:
-
Code of Conduct:
- All participants must adhere to the AI Prompt-A-Thon 2024 Code of Conduct. This includes behaving respectfully toward all participants, organizers, and judges.
- Harassment, discrimination, or inappropriate behavior of any kind will not be tolerated and may result in disqualification and removal from the event.
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Collaboration & Fair Play:
- Collaboration within teams is encouraged, but teams must work independently of other teams. Sharing code, ideas, or solutions between teams is not allowed.
- Participants must not sabotage or interfere with the work of others.
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AI Tool Usage:
- Participants are free to use any AI models or tools available to them, provided that they comply with open-source licenses and other intellectual property laws.
- Any third-party assets used in submissions (e.g., images, datasets) must be credited appropriately.