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Model Generative Artificial Intelligence with Consciousness

Time / Place:

⏱️ 11/19 (Sat.) 16:00-16:40 at International Conference Hall


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).

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  • 張智威 Edward Chang
  • Computer Science, Stanford University / Adjunct Professor
  • Edward Y. Chang is an adjunct professor of Computer Science at Stanford University since 2019. His current research interests are consciousness modeling, meta learning, and healthcare. Chang received his MS in CS and PhD in EE, both from Stanford University. He joined the ECE department of UC Santa Barbara in September 1999, was tenured in 2003 and promoted to full professor in 2006. From 2006 to 2012, Chang served at Google as a director of research, leading research and development in areas including scalable machine learning, indoor localization, Google QA, and recommendation systems. In subsequent years, Chang served as the president of HTC Healthcare (2012-2021) and a visiting professor at UC Berkeley AR/VR center (2017-2021), working on healthcare projects including VR surgery planning, AI-powered medical IoTs, and disease diagnosis. Chang is an ACM fellow and IEEE fellow, for his contributions to scalable machine learning and healthcare.

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