Generative AI has made finished work easier to produce and harder to interpret. Two people can submit equally polished AI-assisted work while demonstrating very different reasoning. Most institutions still see only the output. For more than a century, institutions evaluated people through exams, grades, resumes and credentials. In the age of generative AI, output alone is no longer enough to measure reasoning, judgment, or understanding.
Today, Answer Labs Inc., the company behind the Answerr platform, launched AIQ™ — a learning-provenance system that documents how a person reasons with AI across a body of work and converts that behavioral evidence into a verifiable AIQ profile and credential. The company describes AIQ as “proof of intelligence for the age of AI.”
Rather than detecting whether AI was used, AIQ evaluates how it was used. The system analyzes behaviors such as verifying claims, refining prompts, challenging outputs, connecting sources and recovering from weak AI responses.
AIQ is built for universities, employers and learning platforms that need to evaluate AI-assisted work without banning tools or relying on AI detection. As AI fluency becomes increasingly important in admissions, hiring and workforce development, AIQ is designed to provide institutions with a standardized signal of AI-assisted reasoning and judgment.
“AI can generate infinite content. Human judgment is becoming a scarce resource,” said Mohd Qaiser Malik, co-founder and CEO of Answer Labs Inc. “The future will not reward people for accessing AI. It will reward those who think well while working alongside it.”
AIQ is built on SLPT, the Standard Learning Provenance Taxonomy — an open specification for structuring behavioral evidence in AI-mediated learning environments.
The reference implementation includes 178 tests and five interoperability adapters — LTI 1.3, xAPI, CLR 2.0, cmi5, and Common Cartridge — enabling compatibility with systems institutions already use.
SLPT has been published under the Apache 2.0 license with a registered DOI (10.5281/zenodo.20297510), allowing institutions, researchers, and developers to inspect, validate, and build on the framework openly.
The framework was developed with contributions from Trond Arne Undheim, author of "The Platinum Workforce: How to Train and Hire for the 21st Century’s Industrial Transition," and Nada Hashmi, co-founder of Answer Labs and MIT Research Affiliate.
Answer Labs is also part of the MIT Startup Exchange (STEX), a corporate-startup collaboration platform, and is currently inviting universities, enterprises, LMS providers and workforce organizations to collaborate on the next phase of AI governance and learning-provenance infrastructure.
About Answer Labs Inc. (Answerr)
Answer Labs Inc. is an AI infrastructure company building systems for trusted learning, human judgment verification, and AI-assisted education and workforce environments. Its flagship platform, Answerr, provides institutions and enterprises with infrastructure for AI governance, learning provenance and AI-mediated decision-making. For more information, visit answerr.ai.
Media Contact
Mohd Qaiser Malik
qaiser@answerr.ai