通过 AI 黑镜看见人类本质 Seeing Humanity through Dystopian AI | 丁源森博士 Dr. Ting Yuan Sen | TEDxPetalingStreet

“人工智能是一门 ‘以人为本’ 的科学。它不只是让机器变得聪明，更希望通过模仿人类的行为和思维，深入理解人类的本质。”

日常研究和教学工作中，丁源森博士专注于通过人工智能去探索和理解宇宙的运行规律。他的研究团队的一个重要方向是创建一个 “机器天文学家”。

这目的不是为了取代天文学家，而是想通过这种方式，让每一个对天文学有热情的孩子，无论身在何处都能有一个 “机器教授好朋友”，与他们一起探索宇宙的奥秘。

如同任何革命性的新事物，AI 带有双面性，唯有不断深入认识，才能打破对它的迷思。

"Artificial intelligence is a 'human-centric' science. Besides making machines smarter, AI can deeply understand the nature of human beings by imitating human behaviour and thinking."

Through his research, Dr. Ting Yuan Sen focused on exploring and understanding the laws of the universe through artificial intelligence. His research team was working towards creating a "robot astronomer"; not to replace human astronomers but as a robotic professor companion to every child who was passionate about astronomy and be able to explore the mysteries of the universe together with them.

Like any revolution, AI has its pros and cons. Only with in-depth study and understanding of it can we demystify AI.

#TEDx #TEDxPetalingStreet #TEDx茨廠街 #TEDx茨厂街 #Balance2023 #衡2023 #丁源森博士 #Dr.TingYuanSen #天体物理学 #人工智能 #Astrophysics #ArtificialIntelligence #Speakers2023 丁源森博士，天体物理学家，现任澳洲国立大学副教授。 他在天文学和电脑科学两个部门进行教学与研究工作，并使用机器学习技术，研究天文大数据的统计和推理。 2017 年他在哈佛大学获得天文学和天体物理学的博士学位。之后，他成为了第一位在普林斯顿大学、卡内基科学研究、NASA 哈勃和普林斯顿高等研究院获得联合奖学金的学者。他是 NASA 恒星科学兴趣小组的联席主席，参与领导未来的多个光谱巡天项目。迄今，他已经参与编写了超过 160 篇的学术论文。

Dr. Ting Yuan-Sen is the world-leading astrophysicist, and one of the youngest Associate Professors in astrophysics and computer science at Australian National University (ANU). He received his Ph.D. from Harvard University in 2017 and was subsequently granted a four-way fellowship from Princeton University, Carnegie Institute for Sciences, NASA Hubble, and the Institute for Advanced Study at Princeton. With more than 160 academic publications, he jointly heads the UniverseTBD collaboration, an initiative aimed at combing through the extensive corpus of astronomical literature and aspired to uncover the mechanisms behind scientific breakthroughs by fine-tuning existing foundational models. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx