name---->張智威(字串長度:9)---->姓名18(字串長度:8)```hide---->0(字串長度:1)---->0
(字串長度:2)```name2---->Edward Chang(字串長度:12)---->英文姓名18(字串長度:14)```talk_title---->Model Generative Artificial Intelligence with Consciousness(字串長度:59)---->題目18(字串長度:8)```talk_lang---->mandarin(字串長度:8)---->語言18(字串長度:8)```can_playback---->Yes(字串長度:3)---->回放18(字串長度:8)```company---->Computer Science, Stanford University(字串長度:37)---->服務單位18(字串長度:14)```position---->Adjunct Professor(字串長度:17)---->職稱18(字串長度:8)```desc---->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).(字串長度:1528)---->摘要18(字串長度:8)```me_desc---->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.(字串長度:958)---->簡介18(字串長度:8)```conf---->AIK(字串長度:3)---->AI(字串長度:2)```website---->http://infolab.stanford.edu/~echang/(字串長度:36)---->https://網站18(字串長度:16)