About Us
Nauta Research Labs is an I‑O psychology consultancy dedicated to ensuring that artificial intelligence and automated systems work for people rather than the other way around. Our experts draw on decades of experience in organizational science to help organizations build technology that enhances productivity and wellbeing.
Industrial‑organizational (I‑O) psychologists study worker attitudes and behavior to help businesses hire the right talent, design equipment and procedures that maximize performance and minimize injury, and improve employee satisfaction1. By applying these principles to AI‑driven tools, we help clients deploy technology that is valid, reliable and fair.
Our Services
AI Bias & Fairness Audits
We review datasets, algorithms and application workflows to identify input, system and application biases2. Ethical challenges such as injustice, harmful outcomes, loss of autonomy and accountability are documented and mitigation strategies proposed.
Safety & Reliability Assessments
Our psychologists collaborate with engineers to examine how AI affects worker safety and to ensure that systems operate consistently. We test whether AI interventions avoid unintended consequences and protect individual autonomy2.
Ethics & Integrity Programs
We design ethics training and governance structures that promote transparency, accountability and respect for stakeholders. Insights from moral psychology help organizations navigate unavoidable residual biases and maintain trust2.
Validation Studies
In line with professional guidelines, we conduct validation research to demonstrate that AI‑based assessments predict job performance, produce consistent scores, treat candidates equitably and document development processes3.
Redesign Recommendations
When audits reveal unfairness or inefficiency, our experts provide redesign recommendations—from adjusting scoring models to restructuring user interfaces—grounded in evidence‑based organizational science.
AI Governance & Compliance
We guide clients through frameworks such as the NIST AI Risk Management Framework, which was developed to help organizations incorporate trustworthiness considerations into the design, development, use and evaluation of AI4.
Threat Modeling
Our team facilitates structured threat‑modeling sessions to anticipate risks in AI systems—including data leakage, model manipulation and unanticipated social impacts—and to design controls that align with organizational values.
Engagement Surveys & Culture Assessments
We develop and implement engagement surveys that assess employee perceptions of AI tools and organizational change initiatives. Results inform interventions to strengthen trust, inclusion and motivation.
Standard Operating Procedures (SOPs)
Clear SOPs are essential for safe AI deployment. We draft procedures that document data handling, algorithm updates, escalation paths and audit schedules, ensuring compliance and continuous improvement.
System Implementation & Change Management
Our consultants oversee AI system roll‑outs, integrating human factors principles to maximize adoption and minimize disruption. We manage organizational change so that technology complements rather than replaces human expertise.
Organizational Transformation
Beyond individual projects, we help clients build cultures that are adaptable, learning‑oriented and ready for the future. Whether through leadership coaching or large‑scale transformation programs, we align people, processes and technology for sustainable success.
Research Insights
Our work is grounded in contemporary research at the intersection of psychology and artificial intelligence. Studies show that AI systems can perpetuate three primary types of bias—input, system and application—each with distinct ethical implications2. To minimize injustice, bad outcomes, loss of autonomy and accountability, organizations must identify and mitigate existing biases and remain transparent about residual limitations2.
When using AI for personnel assessments, we adhere to recognized legal and professional guidelines. The Uniform Guidelines on Employee Selection Procedures and the Principles for the Validation and Use of Personnel Selection Procedures emphasize that assessments must be valid, reliable and fair3. Recent recommendations from the Society for Industrial and Organizational Psychology extend these principles to AI‑based assessments and outline five criteria—accuracy, consistency, fairness, operational clarity and documentation—to justify their use3.
Responsible AI also requires robust governance. NIST’s AI Risk Management Framework, released in January 2023, offers a voluntary structure to help organizations incorporate trustworthiness considerations into the design, development, use and evaluation of AI technologies4. Our governance practice aligns with this and other emerging standards to ensure that AI supports organizational goals while safeguarding people and society.
Contact Us
Ready to build trustworthy AI with human‑centric science? Reach out to discuss your project or schedule a consultation.
Email: info@nautaresearchlabs.com
Phone: (555) 123‑4567
Address: 123 Innovation Drive, Columbus, OH 43215, USA