gai_risk_management
AI risk management
Resources to help organizations manage risks associated with Generative AI systems
A place for ideas and drafts related to GAI risk management.
11 stars
3 watching
1 forks
last commit: 12 months ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 defi-defense-dao/defi-risk-tools-list | Collaborative resource providing risk analysis tools and information for DeFi protocols | 163 |
| jphall663/responsible_xai | Guidelines and resources for the development of responsible AI systems | 17 |
 arimogi/google-dorks | A collection of tools and techniques for exploiting vulnerabilities in Google services | 45 |
 nathanawmk/top-10-cicd-security-risks | An analysis of common security risks in Continuous Integration/Continuous Deployment systems and processes. | 3 |
 yuanchao-xu/gfer | Researches and analyzes green finance and environmental risk data using R | 8 |
 run-ai/jupyterlab_genv | A JupyterLab extension for managing GPU resources. | 20 |
 gargakshit/gargakshit | A basic README template and guidelines | 67 |
 samapriya/gee_asset_manager_addon | A command-line tool for managing Google Earth Engine assets in batch | 62 |
 certsocietegenerale/irm | Operational guidelines and best practices for handling various types of security incidents | 982 |
 nismod/open-gira | Analyzes global environmental risks to infrastructure networks using open data | 13 |
 claudiugeorgiu/riskindroid | An Android app risk analysis tool using machine learning and reverse engineering to evaluate permission usage and risks. | 141 |
 sabakihq/gtp | A Node.js module for handling GTP engines used in artificial intelligence and board games like Go. | 19 |
 guildai/guildai | Automates and optimizes machine learning experiments to capture run results and improve models | 872 |
 c-o-l-i-n/ng-generative-ai-demo | A demo project showing how to integrate Generative AI with an Angular app using Google Gemini and SignalR for real-time updates | 9 |
 agrigpts/agrigpts | Developing large language models for agricultural applications to improve crop yields and support rural development. | 22 |