Your AI Hackathon Playbook & T&Cs turn curiosity into governed, measurable innovation. Leaders want AI impact—but fear risk, sprawl, and wasted effort. This framework removes the friction. It gives teams a safe sandbox with clear rules for data, IP, and security, while creating a repeatable path from idea to pilot to business value to help solve real world bottlenecks and issues in your organisation securely and ethically.
What leaders get
• De-risked experimentation: Guardrails for privacy, IP, and Responsible AI mean we can say "yes" to building—safely.
• Speed to value: Time-boxed sprints produce demos and one-pagers in days, not months, so decisions move faster.
• A measurable pipeline: Standard deliverables, judging rubrics, and adoption metrics convert hackathon outputs into a prioritized backlog the business can fund.
• Cross-functional alignment: T&Cs set expectations for Security, Legal, Data, and Change—reducing approvals churn later.
• Upskilled workforce: Hands-on prompts, checklists, and evaluation patterns build AI fluency across roles, not just in IT.
• Culture of delivery: Recognition, visibility, and clear "what good looks like" standards reinforce outcomes over theatrics.
• Cost-effective innovation: Leverages existing tools and staff; no large platform bet required to start learning and saving.
Bottom line: This Playbook is an operating system for AI innovation—governance first, outcomes fast. It unlocks staff creativity while protecting the organization, producing a steady stream of vetted, ROI-focused prototypes you can scale with confidence. Sponsor one event, and you'll create momentum, capability, and a backlog of credible AI wins that compound over time.
The documents includes
Terms & Conditions (T&Cs)
Eligibility, teams, permitted tech, data/privacy, security, IP, confidentiality, conduct, deliverables, judging rubric, prizes, schedule, publicity, liability, export controls, acceptance.
Responsible AI Quickstart (1-pager)
Assist definition, sensitive-data minimization, prompt guardrails, evaluation, transparency/logging, fallbacks.
Submission Toolkit
Checklist (problem, why AI, architecture, data/safety, demo, one-pager, license), one-pager template, judging day run-of-show, registration form fields, scoring rubric.
Intranet Page Copy (how it works, mentors, starter kits, judging criteria, policies).
Leader Announcement Email (why join, themes, deliverables, prizes, links).
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Source: Best Practices in Artificial Intelligence PDF: AI Hackathon - Terms & Conditions, Promo Kit & Launch Assets PDF (PDF) Document, MEL1980
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