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.
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last commit: 10 days ago Related projects:
Repository | Description | Stars |
---|---|---|
defi-defense-dao/defi-risk-tools-list | Collaborative resource providing risk analysis tools and information for DeFi protocols | 161 |
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 collection of personal projects and experiments in programming languages, systems, and technologies. | 67 |
samapriya/gee_asset_manager_addon | A command-line tool for managing Google Earth Engine assets in batch | 61 |
certsocietegenerale/irm | Operational guidelines and best practices for handling various types of security incidents | 978 |
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. | 136 |
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 | 870 |
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 agricultural large language models to support research and practical applications in agriculture. | 22 |