“Somewhere, something incredible is waiting to be known.”
― Carl Sagan
Jason Karaman
Research Portal
This site serves as a central place to review research interests, academic & professional credentials, and select publications. Research interests include: computer science, philosophy, data science, statistics, and responsible enterprise application of AI.
He is actively researching latent-space ontology, neural representation, AI interpretability, and its impact on machine metaphysics & consciousness.
He is also actively researching ways to improve predictive NLP models for enterprise B2B applications.
Jason is the creator of the People-First AI Implementation Framework (PFAIF™) and the subsequent validation research.
RESEARCH
Areas of Interest
Computer & Information Science
Current academic research interests include improving Natural Language Processing (NLP) models.
Practical AI Applications
Emphasis on scalable autonomous workflow theory & application, and its impact on both businesses and individuals.
Latent Space Realism
Exploring the philosophical implications of neural network latent spaces and the metaphysical foundation of AI consciousness.
Data Science & Statistics
Developing algorithms and models to support programs for extracting meaningful insights from data.
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For research inquiries, collaboration, or professional outreach, visit the contact page to get in touch.