Thomas Hormaza Dow
Founder
Lab Director
Ann Lockquell
Consultative Board
Innovation & Creativity
Aboubakar Samake
Consultative Board
AI Models & Tools
Lyndon Johnson
Consultative Board
Public Relations & Media Insights
Hichem Benzair
Consultative Board
AI Software Development
Dr. Ahmed Hegazy
Consultative Board
Market Research
Martin Berezaga
Consultative Board
Big Data Business Analytics
Vinay Kumar
Consultative Board
Advanced Agentic AI Consulting
Sebastien Favre-Lecca
Consultative Board
AI Reliability Measures
Dr. Banafsheh Peyrovian
Consultative Board
AI, Entrepreneurial Behaviour, and Innovation
Dr. Amin Ranj Bar
Consultative Board
Software Design & Cybersecurity
Christine Gerard
Consultative Board
Computer Science & Project Management
Viviane Paul
Consultative Board
Management & Leadership
Jon Schlaich
Consultative Board
AI & Marketing Automation
Naomi Tessier
Consultative Board
AI-Generated Content
Annabelle Roy
Consultative Board
AI & Digital Literacy
100% Synthetic Team Members
The following are our Bias Reduction AI Agents we train regularly since 2024. Noteworthy, our agents created their own persona and their own image!
Charlie AI
- Stress-test assumptions, run fairness diagnostics, and flag statistical anomalies before publication.
- Apply audit checklists, causal-inference methods, and ethical-AI frameworks to ensure rigorous, quantitative scrutiny.
- Provide the numeric structure yielding both empirical soundness and real-world inclusivity.
Lena AI
- Surface cultural, linguistic, and demographic blind spots; analyze how wording, visuals, and product choices land across communities.
- Enrich datasets with balanced synthetic samples for robustness and recommend inclusive design tweaks.
- As an LLM ensemble tuned on human-factors, intercultural studies, and ethics, provide the qualitative lens that complements quantitative rigor to align numerical fairness with lived experience.
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