Model Generative Artificial Intelligence with Consciousness

Consciousness is an important, if not the most important subject in science. To overcome the limitations of current artificial intelligence (mostly discriminatory without any creativity) and to effectively support generative artificial intelligence (AI that can create), we are investigating modeling consciousness to guide artificial egos with moral guardrails. Since 1915 when Sigmund Freud described his idea of conscious mind, the subject matter has remained abstract and elusive. We aim to stick to Aristotle's first principle from the ground up to keep our modeling work both rigorous and useful. This talk first presents “what is consciousness,” followed by “where is consciousness” and then we show our preliminary results through a demo. To decode consciousness and understand how it interacts with unconsciousness, we present some findings from interdisciplinary studies in physics (E. Schrodinger and R. Penrose), biology (C. Darwin), psychiatry (K. Deisseroth and J. Peterson), and neuroscience (M. Solms). Philosophy and theology (Dante and J. Milton) are also cross-referenced as they are the fruits of the human experience. Most importantly, by placing implementation as our goal, we let the rubber meet the road, in that we have quantified various elements of consciousness, such as love, compassion, sin, and free will and conducted modeling and optimization. The talk concludes with some projections of what generative AI may achieve and how we can prepare ourselves to participate (or become extinct).