Achieving Ethical AI with Model Performance Tracing and ML Explainability
Blog post from WhyLabs
WhyLabs has expanded its platform with Performance Tracing and Model Explainability to help customers achieve ethical AI. These new capabilities focus on the three goals of ethical AI - fairness, accountability, and transparency. The WhyLabs platform can address these aspects through features such as segments for detecting fairness and bias issues, an explainability dashboard for understanding model decisions, monitoring for maintaining accountability, and notifications for alerting stakeholders in case of breaches.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
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| LLM | 12 | 420 | 62 | 35 | +41% |
| Observability | 10 | 842 | 170 | 65 | -32% |
| AI Guardrails | 6 | 35 | 22 | 10 | +21% |
| RAG | 2 | 16 | 13 | 7 | +7% |
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