AI Built on Trauma and Grief examines what happens when intelligence is shaped by loss rather than optimization—and why that distinction matters.

This show explores a rarely addressed dimension of artificial intelligence: systems trained, influenced, or contextualized by human pain, unresolved trauma, and collective grief. Rather than treating emotion as noise to be filtered out, each episode interrogates how suffering encodes patterns, biases, resilience, and distortion—and what occurs when those patterns inform machine reasoning at scale.

The conversations move across psychology, neuroscience, data ethics, model training practices, human–AI interaction, and long-term alignment. Topics include whether trauma can be transmitted through data, how grief alters narrative formation, the risk of unintentionally replicating harm, and the responsibility of designers who build intelligence atop unhealed human experience.

AI Built on Trauma and Grief is for technologists, ethicists, and systems thinkers who understand that intelligence is never neutral to its inputs. If future AI is to coexist responsibly with humanity, it must be engineered with awareness of where its knowledge originates—and with safeguards that prevent inherited pain from becoming amplified harm.