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Essential Free Resources for AI Startups:

November 18, 2024
Essential Free Resources for AI Startups:

Thank you to the 300+ registrants who joined FAIRLY AI co-founder Fion Lee-Madan (she/her)'s #GiveFirst knowledge-sharing session on How to Quickly Establish Safe, Reliable, and Compliant AI Startups, hosted by Founder Institute

As promised, here’s a curated list of free tools and resources that any startup can use to implement best practices for developing safe, reliable, and compliant AI:

Essential Free Resources for AI Startups:

  1. AI Incident Database: Avoid common pitfalls by learning from past AI incidents. 🔗 AI Incident Database
  2. Global AI Regulation Tracker: Stay informed about existing and upcoming AI regulations that may affect your business. 🔗 Map of Global AI Regulation Tracker
  3. Responsible AI Framework Tracker: Kickstart your #ResponsibleAI journey by selecting the right framework. 🔗 Global Responsible AI Framework Tracker
  4. EU AI Act Compliance Matrix: Decode the complexities of the EU AI Act with this helpful resource from IAPP. 🔗 EU AI Act Compliance Matrix
  5. EU AI Act Compliance Checker: Identify your obligations under the EU AI Act using this tool from the Future of Life Institute (FLI). 🔗 Compliance Checker
  6. Microsoft for Startups Founders Hub: Get free Azure credits, including access to Azure OpenAI Studio. 🔗 Apply to Microsoft for Startups
  7. Microsoft Responsible AI Toolkit: A robust set of tools for building trustworthy AI systems. 🔗 Microsoft Responsible AI Toolkit
  8. Model Risk Management Lecture: Learn about the importance of model risk management from Professor Jon Hill at NYU Tandon. 🔗 Watch the Lecture
  9. Montreal AI Ethics Institute: Follow one of the leading organizations advancing AI ethics literacy. 🔗 Montreal AI Ethics Institute
  10. Responsible Practices for Synthetic Media: Partnership on AI's guidelines, widely adopted by major tech companies. 🔗 Responsible Practices for Synthetic Media
  11. ML Commons Benchmarks: Access performance and safety benchmarks developed by major tech players and contribute as a startup. 🔗 ML Commons

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