Introducing Bias Detector: A New Methodology to Assess Machine Learning Fairness. Click Here to know more
Introducing Bias Detector: A New Methodology to Assess Machine Learning Fairness. Click Here to know more
Explaining AI outcomes is key to building great AI solutions. When you know why your models are doing something, you have the power to make them better while also sharing this knowledge to empower your entire organization.
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Latest AI research, including contributions from our team, brings Explainable AI methods like Shapley Values and Integrated Gradients to understand ML model predictions. The Fiddler Engine enhances these Explainable AI techniques at scale to enable powerful new explainable AI tools and use cases with easy interfaces for the entire team.
Hear from our Data Science team about different Explainable AI concepts.
Trust: Explaining a black-box with another black-box does not establish trust. We ensure transparency through visibility
Production-quality: Fiddler augments top AI Explainability techniques in the public domain including Shapley Values and Integrated Gradients to enhance performance
Enterprise scale: Our solutions are built at enterprise scale and power our industry leading AI Explainability toolset for a robust and reliable experience
Research-focused: Fiddler's paper 'Explanation Game' introduces confidence intervals and contrastive explanations - a significant upgrade to other Shapley Values implementations
Fiddler's out-of-the-box integrations are easily pluggable with existing data and Al infrastructure making it flexible to use
Compare distributions across training data, test data and production data.
Slice the data into groups and explain performance discrepancies across groups.
Analyze your AI predictions in relation to the entire data set or just a specific region to find anomalies and drifting data.
Easily understand every single prediction made by your AI solution and spot discrepancies - whether in your training data, your model, or a production inference.
Quickly simulate input scenarios, whether in tabular or text models, to validate and build trust using our patented intuitive interfaces.
Bring in data and models from any platform to explain them in Fiddler using the best interpretability methods available - Shapley Values and Integrated Gradients - made fast, reliable and scalable.
Compare distributions across training data, test data and production data.
Generate any type of report you need from compliance reports to marketing dashboards.
Share your reports in multiple formats - through the Fiddler platform, in an email, or through any other tool your team uses.
