Microsoft Aims to Trace AI Data Sources for Ethical Compensation
Summary
Microsoft is pioneering a 'training-time provenance' approach to trace the influence of specific data sources on AI-generated content, aiming to ethically compensate contributors of valuable training data used in AI models, in collaboration with technologist Jaron Lanier and his 'data dignity' concept.
Key Points
- Microsoft is exploring a way to estimate the influence of specific training examples on AI-generated content.
- The goal is to potentially credit and compensate contributors of valuable data used to train AI models.
- Microsoft's effort, called 'training-time provenance', involves technologist Jaron Lanier and his concept of 'data dignity'.