Integrate Responsible AI practices into your ML workflow using TensorFlow

Two years ago, Google introduced its AI Principles, which guide the ethical development and use of AI in our research and products. The AI principles articulate our Responsible AI goals around privacy, accountability, security, fairness and interpretability. Each of these is a critical tenant in ensuring that AI-based products work well for every user.

TensorFlow is committed to helping make progress in the responsible development of AI by sharing a collection of resources and tools with the ML community. The collection of tools here are just the beginning of what we hope will be a growing toolkit and library of lessons learned and resources to apply them.

Get started by reading the guides and tutorials here.