For instance, machine-learning developers might focus on having features that are compatible with the model and predictive, meaning they are expected to improve the model's performance.

All in all, not all advanced machine learning models are black box, and for most applications, a degree of explainability is sufficient to meet legal and regulatory requirements.

HEX tailors machine learning explanations to match human decision-making preferences, boosting trust and reliability in high-stakes scenarios. HEX: Human-in-the-loop explainability via deep ...

AI-based analytics form the most impactful pillar in the model, enabling digital twins to conduct pattern recognition, demand ...

Amazon Web Services is adding an AI explainability reporting feature to its SageMaker machine learning model builder aimed at improving model accuracy. SageMaker Autopilot now generates a model ...

Many believe that XAI promotes model transparency and trust, making people more comfortable with the risk of improper learning and incorrect predictions that can occur with machine learning models.

Does your model work? Can it explain itself? Heather Gorr talks about explainability and machine learning. You can send press releases for new products for possible coverage on the website. I am ...