"The End of Extractive AI: A Monograph on Presence" → Link to Zenodo (zenodo.org)

Antiparty’s new monograph, Presence Engine™ Thesis: Building Human-Centric AI Experiences (AX), introduces "Human-Centric AI Experiences" (AX) as a design and infrastructure paradigm that deliberately prioritizes presence, trust, and human dignity over productivity optimization and data extraction. Framed as a theory of change and emotional AI infrastructure, the white paper argues that current AI systems are depersonalized and extractive and proposes "emotional presence" as a foundational layer for future systems. The document draws on research into critical thinking dispositions to justify AX’s focus on agency, reflective engagement, and respectful interaction patterns rather than behaviorist optimization. Technically and practically, Presence Engine™ reframes evaluation and design levers: it advocates new objectives and metrics that measure presence/trust/dignity, architectural patterns that support persistent, context-aware emotional states, and non‑extractive data practices that reduce surveillance-style telemetry. While high-level, the thesis outlines how these principles could reshape model training, product design, and governance—encouraging privacy-preserving data handling, human-in-the-loop feedback, and ethical scaling strategies. For the AI/ML community, AX signals a shift from extractive optimization toward systems engineered for long-term relational value, suggesting new research directions in model objectives, evaluation frameworks, and infrastructure to operationalize emotionally aligned, human-centered AI.