Apply AI: Generative AI Competition

Students, bring your entrepreneurial mindset and design-thinking to your two- to four-person student teams to propose using a generative AI technology in solving a challenge and you could be winners in this first-ever artificial intelligence pitch competition.

Register for the competition here, and get set to present your team’s proposal on April 4. The quick turn is intentional, with judges looking for proposals instead of prototypes–although bonus points are available if prototypes are presented. Registered student teams will be notified by March 29 of their presentation time slots. Every team gets the opportunity to present in this single-round competition. If there is a tie for the top awards, the Dean will select the winner(s).

Prizes will be awarded to the top three teams.

TO COMPETE

1. Form teams of 2-4 students.
2. Create a proposal for using generative artificial intelligence technologies to develop solutions to an existing challenge within one or more of these fields:
   • Disease Prevention and Treatment
   • Climate Change/Environment
   • Automotives/Aerospace
   • Clean Energy
   • Workforce Development
3. Present the proposal and showcase proposed technology. Pitch slide decks should be high on images and infographics. Teams may use note cards for confidence but are expected to be fluent in all aspects of the proposal, delivering the pitch in a fluid, narrative style. 

Details

Teams of 2-4 students (can be a mix of undergraduates/graduate students across any discipline):

1. Present proposal and showcase proposed technology (either fully or conceptualized) before a friendly audience and panel of judges. Each pitch should be unique. Pitches should be no longer than five minutes. Students should be prepared for up to 10 minutes of detailed Q&A from judges following product presentation.
2. Include the following:
   • Cover slide. State student team members’ names and proposal name. Include branding such as logos and tag lines.
   • Define the problem. Address why. Why is this solution necessary? Why is it better than other proposals?
   • Identify constraints. Time? Materials? Money?
   • Teamwork. Did you work together, and how? Did you brainstorm to find promising solutions?
   • Prototype. Do you have a prototype, or a mock-up of a prototype? Has it been evaluated or tested?
   • Improvements. Have you considered improvements to your prototype during iterative testing?
   • Future vision. How would you communicate or market your results?

The entrepreneurial mindset and design-thinking are valuable tools for competitors. Teams are specifically judged on:

• Their proposal’s innovative applications of generative AI
• Feasibility/ability to craft a workable future execution plan complete with timeline
• Potential for real-world impact
• The quality of presentation, including thorough engineering/computer science principles and effective communication

Note for educators: Student learning outcomes include:

• Initiative
• Directive comprehension/interpretation
• Precision thinking
• Soft skills practice including leadership, communication, project management, conflict management, coordination, scheduling and teamwork