AI at Criteria
Responsible AI in hiring. Human judgment at the center.
Criteria’s AI-enabled tools are grounded in job-relevant science, designed for transparency, and built to keep people in the loop across all decisions.
CRITERIA'S PHILOSOPHY WITH AI
Our approach to building ethical AI
Where AI is used in Criteria tools, it supports a scientific, job-relevant approach designed to improve consistency and clarity while keeping people involved in decisions.
Grounded in job-relevant science
Our I/O psychologists guide how AI is sourced, prompted, validated, and aligned with role-relevant criteria, rather than superficial proxies.
Clear, explainable outputs
Transparent scoring criteria, documentation, structured rubrics, and auditable outputs help teams understand what AI evaluated and how to use the result.
Human oversight and final authority
AI supports, not replaces, human decision-making. Teams retain the context, oversight, and final authority needed for fair and accountable choices.
OUTCOMES WITH CRITERIA
Turn AI from a source of uncertainty into stronger talent decisions
Criteria combines responsible AI with validated talent signals to help organizations improve hiring confidence, candidate experience, and decision quality at scale.
ONE PHILOSOPHY • THE COMPLETE TALENT PLATFORM
Responsible AI where it serves a clear purpose
Across hiring and talent development, Criteria uses AI only where it has a defined role. In those tools, science-based signals and human oversight guide how AI supports decisions.
ASSESS
Reveal potential with validated signals
In several of Criteria's assessments, AI helps sharpen talent signals and reveal candidate potential that a resume alone may miss.
INTERVIEW
Structure conversations and score transparently
Combine async, real-time, and AI-conducted interviews with structured questions, behaviorally anchored rubrics, transcripts, summaries, and auditable scoring.
DEVELOP
Turn insight into personalized growth
Use team diagnostics, personality insights, manager check-ins, targeted learning, and AI-powered coaching to strengthen leadership, collaboration, and performance.
CONNECT THE LIFECYCLE
Build a shared language for talent
Carry consistent potential, skills, and performance signals across hiring and development so teams can make clearer decisions and invest in growth with context.
RESPONSIBLE AI FAQ
What buyers and hiring teams should know:
Does Criteria let AI make hiring decisions?
No. Criteria's AI supports human decision-making with consistent, job-relevant signals, summaries, and scoring. Customers retain context, oversight, and final decision authority.
How does Criteria reduce bias in AI-enabled hiring?
Criteria uses rigorously validated, job-relevant data; tests for bias and adverse impact; uses structured criteria; and monitors outcomes over time. When biased inputs or outcomes are identified, they are investigated and remediated.
Can Criteria's AI outputs be explained and audited?
Yes. Criteria emphasizes transparent, behavior-based scoring criteria, documentation, structured rubrics, and audit trails so teams can understand what was evaluated and how an output was produced.
How does Criteria approach ethical AI in its AI-enabled tools?
In tools that use AI, Criteria starts with a job- or development-relevant purpose, validates the approach, explains the output, keeps people in control, and monitors performance, fairness, privacy, and security.
Go beyond black-box AI with talent signals you can trust
Criteria brings science you can trust and AI you can explain to hiring and talent development, so every decision is more consistent, human, and defensible.