Speaker Bio
Damon Abraham, PhD, is a researcher in affective science and experimental psychology with a focus on emotion, emotion self-regulation, and mental representation. His parapsychological interests include non-local consciousness (out-of-body and near-death experiences), non-local perception (remote viewing/pre-cognition), and non-local influence (REGs, micro & macro PK effects). His work intersects consciousness, psychic phenomena, and artificial intelligence, exploring their relationship to transformative technologies, human potential, and personal growth. He has presented at conferences like the International Congress on Consciousness, the Society for Scientific Exploration, the International Remote Viewing Association, and the International Association for Near Death Studies. Damon is involved in several ongoing research collaborations. He leads a project sponsored by the Institute of Noetic Sciences (IONS) to develop an open-sourced image stimulus database for remote viewing research, parapsychology, and psychology. He is also the Principal Research Scientist behind the Entangled App, a mobile platform inspired by the Global Consciousness Project, using a quantum random event generator with user data streams and experimental channels. A dedicated member of the consciousness community, Damon has organized the Denver chapter of IANDS, served on the SSE’s conference planning committee and is a frequent presenter to community groups such as IONS. He serves on the SSE’s elected council and was previously on the board of Consciousness Hacking Colorado, a non-profit bridging technology, meditation, psychedelics, and spirituality.
Abstract: AI-RV: Automated Protocols for Remote Viewing Utilizing Artificial Intelligence
Description: This presentation will explore my current research on whether artificial intelligence (AI) can exhibit psi functioning, specifically non-local perception, independently from human operators. Conducted under the auspices of the IRVA research grant, this study utilizes generative AI models and a random event generator (REG) to automate remote viewing (RV) tasks, creating images and text-based transcripts. This protocol leverages a normative image database, created in partnership with the Institute of Noetic Sciences (IONS) as an image target pool. Advanced text and image embedding techniques support automated judging procedures to evaluate the AI-generated viewing transcripts. These methods aim to reduce human biases and enhance the replicability of RV studies by providing objective, quantifiable measures of semantic and visual similarity between viewing transcripts and target images. I will discuss the promising applications of automated judging, which streamline the evaluation process and improve consistency across trials. Additionally, the research raises intriguing questions about the potential for psi functioning in non-biological systems, challenging traditional views in consciousness studies and AI research. I will delve into the implications of these findings for the future of AI-driven psi research and creative applications.