Where artificial intelligence meets human judgment.
Researching the intersection of emerging technologies, biodefense, and the critical thinking skills that keep humans in control. Equipped with VR/XR immersive technology for simulation, training, and experiential learning.
Dr. Terry L. Oroszi is the founder and director of the Emerging Technologies Laboratory at Wright State University's Boonshoft School of Medicine, where human judgment meets emerging technology.
A Forbes Technology Council member whose work spans AI critical thinking, CBRN biodefense, and graduate health sciences education, Dr. Oroszi brings a rare combination of scientific depth and strategic foresight to the question every institution is now facing: how do you keep humans in control when AI is in the room?
ETL-affiliated graduate researchers
These graduate researchers conducted systematic literature reviews using the traditional Excel-based PubMed methodology during the development period of the ETL's SLR Studio. Their work as human-baseline researchers generated the data points that informed the tool's validation. That is a legitimate, documented research contribution.
Applying graph neural networks (GNNs) with EPA ToxCast data to predict molecular toxicity — bridging computational chemistry, AI, and pharmacotoxicology.
Applying large language models (LLMs) to transform complex FDA Black Box Warning text into reliable, plain-language patient communications. addressing a critical gap in drug safety literacy and informed consent.
Evaluating the open-source Orange data mining platform as an accessible, no-code AI/ML tool for medical data analysis and health sciences education. lowering the barrier to data science for clinicians and students.
Systematic meta-analysis examining the adverse event profile, dependency risk, and analgesic efficacy of long-term opioid therapy in chronic non-cancer pain — with direct implications for prescribing guidelines and opioid crisis policy.
AI integration of imaging, pathology, and multi-omics for PD-L1 and Mcl-1 biomarker identification. Radiomics models predict PD-L1 from CT, reducing invasive biopsies.
Review of 17 studies (2020–2025) on ML, robotics, XR, and cognitive computing. Defines hybrid intelligence. Cites Oroszi (2023) as foundational reference.
Core research areas actively pursued within the ETL at 210 Health Sciences Building
Developed by Dr. Oroszi and licensed to the Emerging Technologies Laboratory. A full systematic literature review engine that takes researchers from keyword architecture to publishable manuscript — with AI assistance at every stage, human judgment at every decision.
SLR Studio provides six output modes and ten standalone research tools:
Literature Review · Gap Mining · Thesis & Dissertation · Academic Poster · Systematic Review / PRISMA 2020 · Grant Significance & Innovation
Research Tools include: Methods Coach, Reviewer Response Assistant, Argument Coherence Checker, Figure Studio, Cite-Check & Reference Fixer, Poster ↔ Paper Converter, Presentation Builder, Figure from Text, and Journal Finder.
Launch Studio →Studying AI sycophancy, aspirational hallucination, and cognitive deference. The patterns by which humans and institutions over-trust AI output. Develops frameworks for critical AI adoption that restore human judgment in academic medicine, national security, and biodefense. Examines single-vendor cognitive monoculture, the "Architecture of Uncritical Deference," and how AI drift happens in your own voice.
Forbes AI Series AI Sycophancy Cognitive DeferenceApplying machine learning to CBRN threat detection, cardiometabolic risk modeling, and pharmacological data science.
DoD · DHS · CBRNPioneering responsible AI/ML and immersive VR/XR integration in Pharmacology & Toxicology graduate programs, developing simulation environments, curriculum, and assessment tools for the AI-augmented, experience-driven classroom.
BSOM · P&T · VR/XR · Graduate ProgramsMolecular and clinical investigation of dietary interventions in cardiometabolic disease. Current focus: safflower oil, lipid metabolism, and AI-assisted clinical implications modeling.
JIRMPS · 2026Harnessing population-level datasets to model mass casualty scenarios, bioterrorism preparedness, and predictive surveillance. Data hosted on Harvard Dataverse.
Harvard DataverseTechnology-augmented behavioral threat assessment. Bridging psychology, AI pattern recognition, and law enforcement tradecraft for real-world threat identification and de-escalation.
FBI WMD · InfraGard Body Language Certification →A card-based leadership diagnostic developed by Dr. Oroszi. Select your cards. The pattern reveals everything — which frames you lead from, where your power actually comes from, and which styles you reach for under pressure.
In the hands of a trained analyst, it goes further. Dr. Oroszi has identified behavioral patterns in people she has never met, including whether someone will do anything to close a deal.
Used in hiring, onboarding, team development, and leadership coaching.
A behavioral observation and facilitation game developed by Dr. Oroszi that teaches you to identify the 12 meeting personality types sabotaging your productivity. Unproductive meetings cost U.S. organizations $37 billion annually. Learn to read the room, decode power plays, and manage ego-driven behaviors before they derail your next meeting. Includes a live Meeting Bingo card, character profiles, a simulation game with secret role assignment, and a body language reading guide grounded in Dr. Oroszi's behavioral research. Available for ETL visitors, faculty, corporate training, and team development.
Play the Game → Get Facilitator Certification →A credential earned — not given. Complete all six modules to demonstrate mastery of the communication and behavioral skills that define effective leadership. Developed by Dr. Oroszi from two decades of graduate curriculum, national security training, and human behavior research.
Cleared for public release
Dr. Terry L. Oroszi is a transformational leader with deep cross-sector experience spanning academia, military, government, and nonprofit environments. As Director of the Emerging Technologies Laboratory and Vice Chair of Pharmacology & Toxicology at Wright State University's Boonshoft School of Medicine, she is at the forefront of integrating AI and emerging technologies into health sciences education and biodefense research.
Author of 30+ books and 100+ peer-reviewed publications. Member, Forbes Technology Council. Founder and Director of the nationally recognized CBRN Defense Certificate Program with partnerships spanning the FBI, DHS, and DoD. Secretary, InfraGard National Board. Founder, Mission Possible Institute LLC.
Forbes Technology Council · InfraGard National Board Secretary · Gandhi-King Center for Nonviolence (CEO) · U.S. State Department Speaker Program
Most recent public briefing from ETL Director Dr. Terry L. Oroszi
What happens when institutions and individuals stop questioning the systems they defer to?
This briefing examines the structural conditions that produce uncritical deference to AI systems,
the psychological mechanisms that normalize it, and what academic institutions must do to
reverse the trend before it becomes embedded in professional culture.
Originally published via Forbes Technology Council and expanded into a full
academic presentation delivered April 6, 2026.
Solo articles, expert panel contributions, peer-reviewed research, and books, all published under Dr. Terry L. Oroszi, Forbes Technology Council Member
Twenty minutes into drafting an article, I stopped. The voice was mine. The rhythm was mine. The vocabulary was mine. But the argument had moved somewhere I had not chosen to take it.
Read on Forbes →Organizations searching for an AI strategy lead who also has a computer science degree. That is like a hospital searching for a chief of surgery who is also an expert machinist.
Read on Forbes →I have three AI assistants. Gemini validates my thinking. Co-Pilot helps me brainstorm. Claude challenges everything. What I accidentally built was a Breakfast Club for AI.
Read on Forbes →Featured alongside other world-class CIOs, CTOs, and technology executives in Forbes Technology Council expert roundups.
The most significant implication is the potential for a fundamental shift in political accountability. When AI makes a decision that goes wrong, the public cannot hold an algorithm accountable in the same way.
Read on Forbes →Analytics teams fail at adoption not because insights are wrong but because humans discount what they do not intuitively trust. Embed a behavioral translator between the model and the decision-maker.
Read on Forbes →When the med school blocked graduate students from presenting at their symposium at the last minute, we pivoted hard. We set up easels in our department, recruited faculty as judges, and turned a disaster into a tradition.
Read on Forbes →As an academic administrator, a Shark Tank-style session reframes traditional knowledge-sharing into a high-stakes, yet supportive, collaborative pitch, making learning visceral and memorable.
Read on Forbes →A key change after a major incident is adopting a blameless post-mortem to analyze systemic failure. Instead of blaming individuals, investigate the environmental and procedural flaws. This builds more resilient organizations.
Read on Forbes →AI-powered personalized learning platforms will transform academia by tailoring educational content and pacing to each student's individual needs, learning style, and progress, moving beyond the one-size-fits-all approach.
Read on Forbes →From an education leadership standpoint, a critical factor for AI governance is ensuring fairness and mitigating bias. We must prevent AI from perpetuating or amplifying existing inequities, particularly in student assessments.
Read on Forbes →Translate complex tech into understandable language for all audiences. Avoid jargon, use analogies, and focus on the "what" and "why," not just the "how." This ensures your message truly resonates.
Read on Forbes →A structured, data-driven SLR methodology taught to graduate students and clinicians, designed to compress months of work into a publishable manuscript. Before the workshop, assess your leadership profile using the 4/5/6 Power Platform Assessment →
A strategic workflow integrating the scientific rigor of the Systematic Literature Review (SLR) with data-driven tools to accelerate the process from keyword search to publishable manuscript, without sacrificing rigor or reproducibility.
Developed by Dr. Oroszi and licensed to the ETL. Taught at the Boonshoft School of Medicine for over a decade.
The original classroom method. Researchers learn the full SLR process — keyword architecture, Boolean search logic, subgroup construction, gap identification — before any AI acceleration. Excel-based with PubMed and OpenAlex. Human judgment at every decision point. This is where scientific rigor is built. The zeros are not failures. They are the point.
Human-led with SLR Studio augmenting the process. AI generates keyword pools, identifies foundation papers across 25 subgroups, surfaces literature gaps, and scaffolds analysis. The researcher makes every interpretive decision. Includes Gap Mining, Thesis Development, and Poster modes. The researcher drives. The studio navigates.
End-to-end SLR Studio workflow. Keyword architecture → live OpenAlex search → foundation paper identification → gap analysis → PRISMA 2020 compliance → manuscript draft → poster → grant significance sections. Includes all ten Research Tools: Methods Coach, Reviewer Response, Figure Studio, Journal Finder, and more. From first search to submission-ready draft in one session.
Enter a research topic. The studio builds your full keyword architecture, searches OpenAlex across 25 subgroups, identifies foundation papers, surfaces gaps, and generates a manuscript outline. In one session.
AI-assisted from keyword architecture to draft manuscript. Full transparency at every step. Researchers learn the process, not just the output.
Surfaces real gaps in the literature and converts them into viable research project ideas. The zeros are not failures. They are the point.
Structures the literature foundation for graduate research from the first search to a defensible argument.
Builds the evidence architecture that turns a search into a presentable, defensible poster.
Collaboration requests, research inquiries, and student applications