Insights on epistemic AI, trustworthy artificial intelligence, and the philosophy behind building AI agents that know what they know—and what they don't.
In an age where AI is ubiquitous, the need for agents that can reason about their own knowledge is paramount. Explore why traditional AI falls short and how epistemic integrity is reshaping artificial intelligence.
Read Article →Healthcare decisions demand precision and transparency. Explore how epistemic integrity in AI systems can bridge the gap between computational power and clinical responsibility.
Read Article →Traditional confidence scores mask the complexity of AI uncertainty. Discover how distinguishing between aleatoric and epistemic uncertainty creates more honest and reliable AI systems.
Read Article →The future of AI lies not in systems that simply generate responses, but in agents that understand their own knowledge boundaries. Learn how metacognitive design principles create AI you can truly trust.
Read Article →Our blog explores the intersection of philosophy, artificial intelligence, and practical applications. We believe that understanding the epistemological foundations of AI is crucial for building systems that can be trusted in critical domains.
Each article reflects our commitment to advancing the field of epistemic AI while maintaining the intellectual rigor and transparency that defines the Epistants approach.