How to Quickly Establish Safe, Reliable, and Compliant AI Startups
Here is a list of free tools and resources for any startups to start establishing best practices and processes to adopt or develop AI that is safe, reliable and compliant:
AI Incident Database is a free and open-source project dedicated to indexing the collective history of harms or near harms realized in the real world by the deployment of AI systems:
https://incidentdatabase.ai/apps/incidents/
Map of Global AI Regulation Tracker - enlarge the map to see filters for your jurisdictions and sectors:
https://www.fairly.ai/blog/map-of-global-ai-regulations
Global Responsible AI Framework Tracker for you to choose and adopt a Responsible AI Framework:
https://www.fairly.ai/blog/policies-platform-and-choosing-a-framework
The EU AI Act Compliance Matrix from the International Association of Privacy Professionals (IAPP):
The EU AI Act Compliance Checker from the EU AI Act Committee itself:
https://artificialintelligenceact.eu/assessment/eu-ai-act-compliance-checker/
Microsoft for Startups Founders Hub: (apply to get free Azure credits you can use on Azure OpenAI studio)
https://foundershub.startups.microsoft.com/signup
Microsoft Responsible AI Toolkit:
https://www.microsoft.com/en-ca/ai/tools-practices
Understand the history and importance of Model Risk Management - Lecture by Prof. Jon Hill at NYU Tandon School of Engineering:
https://www.youtube.com/watch?v=h6yxSv4uVSw
Montreal AI Ethics Institute democratizes AI ethics literacy:
Partnership on AI Responsible Practices for Synthetic Media being adopted by the big techs but you can also use as a startup:
https://syntheticmedia.partnershiponai.org/
ML Commons to see safety and performance benchmarks being developed by the big techs but you can also use and contribute to as a startup:
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