AI Trust Index Launched: TrustStrategy Helps Enterprises Navigate the Algorithmic Grey Zone

On January 31, 2022, TrustStrategy unveiled its much-anticipated AI Trust Index, a landmark benchmarking system that evaluates the trustworthiness of AI technologies used across industries. The index is designed to help organizations navigate the “algorithmic grey zone” — a growing concern where AI decisions lack transparency, fairness, or ethical accountability.

As artificial intelligence becomes central to enterprise operations — from hiring and lending to medical diagnosis and predictive policing — the need to distinguish responsible AI from opaque or risky systems has never been greater.

“Trust is now a strategic asset in AI deployment,” said Elaine Wu, Chief Trust Architect at TrustStrategy. “The AI Trust Index gives companies the clarity and confidence they need to deploy intelligent systems responsibly — and visibly.”

What Is the AI Trust Index?

The AI Trust Index™ is a comprehensive rating framework that scores AI systems across five core pillars:

1. Transparency – Can stakeholders understand how decisions are made?

2. Fairness – Are outcomes equitable across diverse user groups?

3. Safety & Robustness – Is the model resilient to errors and adversarial input?

4. Accountability – Are there mechanisms for oversight and redress?

5. Compliance Readiness – Does the system meet emerging global regulatory standards?

Each AI model assessed by TrustStrategy receives a Trust Grade (A to D) along with a detailed diagnostic report, empowering organizations to identify risks, benchmark vendors, and prioritize remediation.

Bridging the Trust Gap in AI

According to TrustStrategy, the index was developed in response to growing anxiety among business leaders, regulators, and consumers about the invisible risks of automated decision-making. From algorithmic bias to explainability failures, the “algorithmic grey zone” represents a space where traditional risk tools fail — and reputational damage looms.

“Companies are no longer asking if their AI is working — they're asking whether it can be trusted,” noted Wu. “The Trust Index turns those concerns into measurable, actionable insights.”

Industry Adoption and Impact

Several early adopters from the finance, healthcare, HR tech, and government sectors are already using the AI Trust Index to:

• Evaluate AI vendors and procurement decisions

• Monitor high-risk internal algorithms

• Support regulatory reporting and ethical disclosures

• Communicate trust scores to customers and stakeholders

TrustStrategy is also working with policy institutions to align the index with major frameworks such as the EU AI Act, OECD AI Principles, and the U.S. Algorithmic Accountability Act.

Looking Forward

The launch of the AI Trust Index positions TrustStrategy at the forefront of a rapidly emerging field: AI assurance and governance infrastructure. As calls for transparency and oversight grow louder, the index is expected to become a global reference point for responsible AI deployment.

“We're not just grading algorithms — we're building the trust layer for the intelligent economy,” said Wu.