Meta AI, Facebook’s artificial intelligence (AI) unit, has unveiled a new set of metrics to manage and evaluate AI systems. Named ‘AI Ecosystem Management Metrics’, these metrics allow for a comprehensive understanding of the system’s overall performance. They comprise four categories: value, cost, risk, and health.
Value metrics focus on the effectiveness of AI in achieving desired results. Cost metrics ascertain the resources required to operate and maintain the AI system. Risk metrics evaluate the potential negative impacts of the AI system. Health metrics assess the system’s sustainability and resilience.
Meta AI maintains that these metrics are not fixed but evolve with time. They are designed to be adaptable to the changing needs and objectives of the AI system. This flexibility allows for continuous learning and improvement.
The introduction of these metrics is a significant step towards enhancing the transparency, accountability, and reliability of AI systems. It also contributes to the broader goal of ensuring that AI benefits everyone and is used responsibly. Meta AI emphasises the importance of collaboration, inviting feedback and suggestions to refine and improve these metrics.
Go to source article: https://ai.facebook.com/blog/meta-ai-ecosystem-management-metrics/