AITIexplain

How can users of AI know and trust the reasoning behind incredibly complex AI systems, that is making recommendations for action, where its decisions are often opaque to the end-user.

The importance of AI model explainability

Stakeholder Trust.

Control for Bias.

System/Model Auditability.

Regulatory Compliance.

Model Validation.

Ethics and Discrimination.

AITIexplain provides AI explainability that are actionable and robust.

Screenshot of product app on different devices

AI model optimisation for

Management

AI applications should be reliable and accurate and behave predictably.
Demonstrate responsibility for AI applications and accountability for these applications throughout their organisation.

Risk Department

Able to explain how AI is used in their business, and how these applications function and are validated.
AI applications do not inadvertently disadvantage certain groups of customers.

Compliance

Ensure that the AI used in their business is regulatory compliant.
Ensure that the outcomes of AI applications do not violate the firm’s ethical standards.

Our application is

Out-of-the-Box Solution

AITIexplain is one of our ready-made applications on the AITIS platform.

Hyper Configurable

Distributed microservices architecture allows for flexible parameters and customization.

Cloud Native

Leveraging on Cloud to avoid IT infrastructure and support costs locally.

Industry Standard APIs

Simple onboarding through plug-and-play integration with our platform APIs.

CONTACT US TO LEARN MORE

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info@aitis.co

AITIS