數據監控的日常：演算法時代的生存之道
Living Under Surveillance: Survival in a Data-Driven Age
| 節 | 週三 |
|---|---|
5 13:20–14:10 | 數據監控的日常：演算法時代的生存之道 HB216 3 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
Students will examine how individuals, groups, and societies both create and are shaped by digital data and algorithms through systematic knowledge and critical thinking skills. They will also explore issues related to public health, culture, social relationships, the workplace, policy, law, and professional practice across diverse contexts. 學生將透過系統化知識和批判思辨素養，來檢視個人、群體、社會之間，如何創造且同時被數位資料與演算法所形塑，並在多種情境中探討公衛、文化、社會關係、職場、政策、法律與專業相關議題。
This syllabus is tentative and provided for reference only; the official syllabus will be announced in class during the first week of the semester.
Discussion Leader I: 20% Discussion Leader II: 20% Participation: 20% Midterm Case Study Discussion: 20% Final: 20%
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction: Data, Power, and Intersectionality 導讀：資料、權力、社會系統的交集性 |
| 第 2 週 | Define and explain self-tracking, the quantified self- community thriving in the pandemic, the reasons people self-track, and biomedicalization 介紹自我追蹤的趨勢、疫情中崛起的自我測量社群、人們進行自我追蹤的原因，以及生物醫學化 |
| 第 3 週 | What "normal" means and why it matters in self-tracking: The power dynamics of what is considered "normal" and who gets to ask the questions and control the data, as well as concerns around privacy, especially as it relates to self-tracking data. 「正常」的意義：「正常事物」背後的權力動態、誰有權提出問題和解讀資料，以及隱私疑慮 |
| 第 4 週 | Technological solutionism: The economic role of data. 科技解方主義：資料的經濟角色 |
| 第 5 週 | The porous boundaries between government (state), the publishing industry, and libraries around surveillance and information analytics: The “Costco-ization of information,” information brokers (vendors), and the research/surveillance cycle 政府（國家）、出版業與圖書館在監控與資訊分析上的模糊界線：資訊的「好市多化」、資訊仲介（供應商），以及研究／監控循環 |
| 第 6 週 | Redlining and its consequences, as well as co-liberation 紅線政策及其後果、與共同解放 |
| 第 7 週 | The god trick in data visualization: Visual minimalism as it relates to objectivity, neutrality, rhetoric, and emotion; data visceralization as a way of elevating emotion and embodiment 資料視覺化中的「上帝視角」：視覺極簡主義與客觀性、中立性、修辭以及情感的關聯；以資料感官化作為提升情感與切身感的一種方式 |
| 第 8 週 | Midterm: Documentary Screening and Case Study 期中考：紀錄片與專題研究 |
| 第 9 週 | Guest Speaker 演講 Topic: AI Companionship |
| 第 10 週 | Review Session 溫書複習 |
| 第 11 週 | Design Justice: Question and critically examine the systems of classification that perpetuate oppression 設計正義：質疑與檢視延續壓迫的分類系統 |
| 第 12 週 | Knowledge infrastructure: Raw data, population data, and how to restore context to data 知識基礎建設：原始資料、母體資料、資料脈絡的恢復 |
| 第 13 週 | How classification works in machine learning and what some of the challenges with classification are: "Digital epidermalization," systems of circular logic, and the politics of classification. 機器學習的分類運作方式及其面臨之挑戰：「數位表皮化」、循環邏輯系統，以及分類過程的政治性 |
| 第 14 週 | How AI has changed how and the ways we work, including “fauxtomation,” crowdsourcing and Mechanical Turk, and the ways that employers control time and why. 人工智慧如何改變我們的工作方式，包括「假自動化」、群眾外包與 MTurk 平臺，以及雇主如何掌控時間及其原因 |
| 第 15 週 | Examine how AI is funded and used by the state; the shift from law enforcement to intelligence analysis; the power of metadata for surveillance. 國家/政府在科技資料監管中的角色 |
| 第 16 週 | Final 期末考 |
The following materials are available on E3: Neff, Gina, & Nafus, Dawn. (2016). Self-Tracking. Cambridge, MA: MIT Press. D'Ignazio, Catherine, & Klein, Lauren F. (2020). Data Feminism. Cambridge, MA: MIT Press. Crawford, Kate. (2021). Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. New Haven, CT: Yale University Press.
- 時間
- By appointment only at https://reurl.cc/Dx8yaQ
- 聯絡方式
- RyanWen@nycu.edu.tw