Making AI Trustworthy and Controllable: TrustStrategy Leads the Way in Defining New Standards for Trust Evaluation Tools

As the global conversation around artificial intelligence intensifies, TrustStrategy has stepped forward to set a new benchmark for how trust in AI should be evaluated, governed, and enforced. On February 4, 2022, the company announced its leadership role in establishing a next-generation standard for AI trust evaluation tools, addressing the urgent need for both trustworthiness and controllability in intelligent systems.

With AI now influencing everything from financial decisions and medical diagnoses to criminal justice and content moderation, public and institutional concern over transparency, bias, and loss of control is growing. TrustStrategy’s latest move reflects its mission to ensure that AI technologies remain human-aligned, auditable, and safe — especially as they become more autonomous and complex.

“Trust in AI is no longer optional — it’s foundational,” said Clara Jin, Chief Strategy Officer at TrustStrategy. “We’re proud to lead the development of a new generation of trust evaluation standards that make AI both transparent and governable at scale.”

Introducing a New Standard for AI Trust Tools

At the core of TrustStrategy’s announcement is the launch of a comprehensive framework that defines the core requirements for modern AI trust evaluation tools. This includes:

• Measurability: Tools must quantify trust across dimensions like fairness, transparency, safety, and accountability.

• Real-time Monitoring: Trust status should be dynamic and responsive, not static or retrospective.

• Contextual Adaptability: Tools must account for sector-specific needs (e.g. healthcare vs. finance) and cultural or legal variations.

• Human Oversight Integration: Evaluation tools must support explainability and human-in-the-loop control mechanisms.

The standard has already been adopted in part by several leading AI developers and enterprises piloting TrustStrategy’s flagship product, the TrustScore Engine™, which evaluates models across both technical performance and ethical integrity.

From Ethics Principles to Operational Tools

What sets TrustStrategy apart is its ability to translate high-level AI ethics principles into practical, operational solutions that can be embedded into real-world AI pipelines.

“We’ve moved beyond theory. Enterprises and regulators need actionable, interoperable trust tools — not just white papers,” said Jin.

TrustStrategy’s evaluation solutions are already in use by clients across sectors such as:

• Healthcare AI, to monitor diagnostic fairness and mitigate demographic bias

• Smart hiring platforms, to assess trust signals in algorithmic candidate scoring

• Autonomous systems, to verify the integrity of decision logic in real-time

Global Recognition and Policy Relevance

The new trust evaluation standard is also aligned with emerging global regulatory frameworks, including the EU Artificial Intelligence Act, OECD AI Governance Principles, and the U.S. National AI Initiative. TrustStrategy is in active discussion with policymakers, standards bodies, and academic institutions to ensure cross-border relevance and adoption.

“In a world of intelligent machines, trust becomes the control system,” said Jin. “We’re building that control system.”