過去的資訊社會學，常集中於數位落差、社群、新興媒體、倫理、法規、隱私等等議題，這是社會學企圖使用各種學科內的研究領域，包裹起資訊這個元素，探討資訊對這些主題帶來的影響、挑戰與啟發，相關的經驗研究、現象描述還有各自的生活體驗，已經累積地非常豐富，我們都知道資訊已經深入到生活各種面向。

這堂課想要嘗試的是，如果我們從資訊這端來看社會學，是不是會帶來一些不同的觀點。
每堂課除了講解一組概念，也會拋出一個問題讓大家腦力激盪一下，讓大家進行討論。另外，每次上課會視人數分組，進行限時閱讀文本並做出摘要之訓練，希望能夠訓練各位的閱讀及短文寫作能力。

In the past, information sociology often focused on issues such as digital gaps, communities, emerging media, ethics, regulations, privacy, etc. This is sociology's attempt to use research fields within various disciplines to wrap up the element of information and explore the impact, challenges, and inspirations brought by information on these topics. Related empirical research, descriptions of phenomena, and respective life experiences have accumulated very richly. We all know that information has penetrated into various aspects of life.

What this class wants to try is whether if we look at sociology from the information side, it will bring some different perspectives.
In addition to explaining a set of concepts in each class, a question will also be raised for everyone to brainstorm and discuss. In addition, each class will be divided into groups according to the number of students, and students will be trained to read texts and make summaries within a time limit, hoping to train everyone's reading and essay writing skills.

岡本裕一朗，蔡麗蓉譯，2020，《當人工智慧懂哲學》，楓葉社。
雷・庫茲威爾，陳琇玲譯，2015，《人工智慧的未來》，經濟新潮社。
詹姆斯・葛雷易克，賴盈滿譯，2011，《資訊—一段歷史、一個理論、一股洪流》，衛城。
約翰・布羅克曼編，黃宏鋒、李駿浩、張羿等譯，2017，《如何思考會思考的機器》，浙江人民出版社。

Yuichiro Okamoto, translated by Cai Lirong, 2020, "When Artificial Intelligence Understands Philosophy", Maple Leaf Society.
Ray Kurzweil, translated by Chen Xiuling, 2015, "The Future of Artificial Intelligence", Economic Trends Society.
James Greyick, translated by Lai Yingman, 2011, "Information - a history, a theory, a torrent", Acropolis.
Edited by John Brockman, translated by Huang Hongfeng, Li Junhao, Zhang Yi, etc., 2017, "How to Think about Thinking Machines", Zhejiang People's Publishing House.