PAI’s Guidance for Safe Foundation Model Deployment
partnershiponai.org
PAI’s Guidance for Safe Foundation Model Deployment
Artificial Intelligence in Education
Guiding principles and resources for integrating artificial intelligence in education, emphasizing human-centered decision-making, equity, data privacy, and continuous improvement while addressing opportunities and challenges of AI in learning environments.
Link
The three principles that drive the Foundation’s deployment of machine learning solutions in Wikimedia projects are sustainability, equity, and transparency.
AI and the Commons: the Wikimedia movement – Open Future
madisen added
Top considerations when choosing foundation models
Accuracy
Cost
Latency
Privacy
Top challenges when deploying production AI
Serving cost
Evaluation
Infra reliability
Model quality
Accuracy
Cost
Latency
Privacy
Top challenges when deploying production AI
Serving cost
Evaluation
Infra reliability
Model quality
Notion – The all-in-one workspace for your notes, tasks, wikis, and databases.
Nicolay Gerold added
City of Boston interim guidelines for using generative AI, including principles, sample use cases, and guidelines for fact-checking, content disclosure, privacy, and more.
LinkNathan Storey added
OpenAI
openai.com
Vyara Ndejuru and added
Dave King added
Issue Brief Considerations for Governing Open Foundation Models
hai.stanford.edu
Luis Villa added