Open-source AI models that give you privacy back - Nextcloud Proprietary AI can include hidden features like data harvesting for advertising and user profiling, embedded biases, and using your private data to refine the products without your consent
GitHub - pluja awesome-privacy: Awesome Privacy - A curated . . . These alternatives give you control over your data and do not collect or sell it ⛔ Avoid using apps that won't let you export your keys easily Instead use 🤖 Aegis - A free, secure and open source app for Android to manage your 2-step verification tokens
The Best Open Source and Closed Source (Proprietary) AI Models Fully open-source models provide maximum flexibility and community-driven innovation, while partially open-source models offer a compromise between openness and protecting proprietary elements Proprietary models, on the other hand, deliver optimised performance and strong support but at the cost of transparency and customisation
Data Transparency in Open Source AI: Protecting Sensitive . . . As a part of this project, we’re building and maintaining datasets that are useful for machine learning models that detect abuse The talk exhibited the importance of and the care that must be given when choosing a license for sensitive data, and why open datasets in Open Source AI should be carefully considered