Microsoft is committed to the advancement of Responsible AI driven by ethical principles that put people first. We welcome you to use your creativity, passion, and technical acumen to create an open-source application that leverages Azure solutions and applies Responsible AI principles.
What is Responsible AI?
At Microsoft we operationalize Responsible AI principles to ensure systems are developed in a way that warrants our user’s trust and safety. We outline 6 key Responsible AI core pillars:
- Fairness - AI systems should treat all people fairly
- Reliability & Safety – AI systems should perform reliably and safely
- Privacy & Security – AI systems should be secure and respect privacy
- Inclusiveness – AI systems should empower everyone and engage people
- Transparency – AI systems should be understandable
- Accountability – People should be accountable for AI systems
What Should I Hack?
Put your skills to the test and apply Azure services with Responsible AI into a new or existing project! We welcome projects of all types, including AI-powered apps or devices, conversational bots, ML models, or something else entirely! Check out the resources tab for tips on getting started, and be sure to review the project requirements. We’re excited to see what you build!
Requirements
What to Build
Build an open-source application prototype that runs on Azure, with Azure AI and data services.
Bonus: Integrate Responsible AI principles to be eligible for the Bonus Integration of Responsible AI Prizes.
Project requirements:
- Your app must run on Azure: Azure Functions, Azure Kubernetes Service, Azure Container Apps, or Azure Spring Cloud
- Your app must include Azure AI services: Azure Applied AI Services or Azure Cognitive Services or Azure Machine Learning
- Your app must include Azure data services: Azure Cosmos DB, Azure Database for PostgreSQL, Azure SQL Database, Azure Cache for Redis, or Azure Database for MySQL
What to Submit
- Provide a URL to your working prototype.
- Provide a URL to your GitHub code repository. Repository must be public and have an open source license from one of the following:
- MIT - https://opensource.org/licenses/MIT
- Apache 2.0 - https://opensource.org/licenses/Apache-2.0
- 3-Clause BSD - https://opensource.org/licenses/BSD-3-Clause
- Include a video (3-5 minutes) that demonstrates your project in action (hosted on YouTube, Vimeo, or Facebook Video and made public). Video must include an explanation of how you integrated Responsible AI principles for the bonus prize.
- Provide an Azure Reference Architecture outlining a high-level overview of the tools and devices used within the application.
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Prizes
$10,000 in prizes
First Place
• $5000 USD
• Featured on the official Azure Developer Community blog
• Shout out on FB @MSFTDev.US and Twitter @MSTCommunity
Second Place
• $2500 USD
• Featured on the official Azure Developer Community blog
• Shout out on FB @MSFTDev.US and Twitter @MSTCommunity
Third Place
• $1000 USD
• Featured on the official Azure Developer Community blog
• Shout out on FB @MSFTDev.US and Twitter @MSTCommunity
Bonus Prize | Best Integration of Responsible AI
• $1000 USD
• Featured on the official Azure Developer Community blog
Bonus Prize | Second Best Integration of Responsible AI
• $500 USD
• Featured on the official Azure Developer Community blog
Devpost Achievements
Submitting to this hackathon could earn you:
Judges

Joe Stamper
US Azure AI Go-to-Market Lead at Microsoft

Marco Ng
AI Sales Strategy at Microsoft

Mehrnoosh Sameki
Responsible AI Tools Tech Lead at Microsoft

Paige Lord
AI Ethics Researcher, AI & Privacy Law, and Program Manager at GitHub

Ricky Diep
Product Marketing Manager at Microsoft
Judging Criteria
-
30% | Potential impact
Includes the extent to which the solution may be widely useful. -
30% | Quality of the Idea
Includes creativity and originality of the idea. -
40% | Azure Implementation
Includes how well Azure services were leveraged by the developer. -
Bonus Prize Criteria | Responsible AI Implementation
Includes how well the Project integrates Responsible AI principles.
Questions? Email the hackathon manager
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