AI Without A Transparent Audit Trail Can’t Be Trusted

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INTRODUCTION

Responsible AI

Transparency, Governance, Compliance, & Data Protection

AI requires traceability and explainability. Let DataTrails help with responsible practices through transparency and auditability. Delight users with proof and evidence that can be independently verified that AI systems are fit for use and safe to operate.

THE PROBLEM

Responsible AI Requires Transparency & Accountability

AI adoption offers unprecedented opportunities for growth and efficiency. However, businesses struggle to fully embrace AI due to two major hurdles: proving AI-driven systems are fit-for-use; and verifying that AI actions conform to continuous compliance and audit process.

THE SOLUTION

DataTrails: Providing AI Transparency and Trust

Ensuring Data Integrity and Transparency in AI

Transparency

Data integrity

Compliance

Trust

DataTrails API-first solution provides a trust & visibility layer to support trustworthy data distribution & resolve contested scenarios. DataTrails tracks the provenance of data in a tamper-evident ledger to detect fake data & prove authenticity. Fine-grained attribute based access controls ensure the right data gets to the right place. Configurable compliance policies monitor data changes enabling realtime alerts. Supporting IETF SCITT standards, DataTrails makes it easy to integrate with apps that rely on safe, secure & trustworthy data.

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BENEFITS

Top 3 Benefits

AI Integrity

Enhance AI model integrity by enabling developers to trace and authenticate the origin lineage of training datasets, real-time inputs, and model outputs thereby ensuring high data quality and reducing biases.

Accountability

Ensure compliance by leveraging DataTrails to document and verify mutually accountable records.

Confidence

Boost stakeholder confidence by providing a transparent audit trail of AI decisions, enabling anyone you choose to verify and understand decision-making processes.

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Deploying Artificial Intelligence Responsibly

AI adoption and digital transformation are driving forces in modern business. However, with this promise comes the responsibility to ensure that AI is trustworthy, transparent, and aligned with the goals of the businesses. DataTrails addresses this challenge head-on by providing a platform that facilitates both trustworthy multi-party data exchange and provides auditability and explainability. In this paper, we’ll explore how DataTrails’ provenance management platform plays a central role in achieving Responsible AI.

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