重述演算法
Accounts of Algorithms
學期
114-2
學分
2
學分
當期課號
133207
永久課號
SHTS30075
開課單位
科技與社會研究所
授課教師
彭松嶽
校區
陽明
類別
選修
上課時間表
| 節 | 週四 |
|---|---|
7 15:30–16:20 | 重述演算法 YX211 2 節連堂 |
8 16:30–17:20 |
* 根據陽明交大上課時間表所列
概述
相較於豐富的演算法技術與實作介紹，對於演算法的人文與社會科學反思較少，然而演算法對當代社會的重要性與影響社會的程度不容社會科學的持續缺席。著眼於此，本課程嘗試整理與介紹近幾年社會科學對演算法的檢視，融入科技與社會、地理學、批判的數據研究 (critical data studies)、社會學、媒體研究等領域的發展。 There is no shortage of technical accounts of algorithm, but the social processes of how they are built and the consequences of them being incorporated into different worlds deserve equal if not more attention. Accordingly, the course focuses on social scientific accounts of algorithms and ways to reconsider their operation in contemporary society. It is divided into two parts: the first half explores social practices of algorithm development and the second half algorithms and ethics.
教學方式
Understanding the social processes of how they are built and critically reflecting upon the consequences of them being incorporated into different worlds.
評分方式
(1) 期末報告 (60分) (2) 課堂導讀與準備 (30分) (3) 課堂參與 (10分)
週次計畫
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction (建議閱讀主題可參考每週進度，亦可參考同學建議增加不同主題或課堂安排; 實際閱讀主題與每週進度會在第一週共同決定) |
| 第 2 週 | 演算法與社會 Burrell J and Fourcade M (2021) The society of algorithms. Annual Review of Sociology 47: 213–37. Lee, F. & Ribes, D. (2025) Computational universalism, or, attending to relationalities at scale. Social Studies of Science, 03063127251345089. |
| 第 3 週 | 社會科技想像 Roberge J, Senneville M and Morin K (2020) How to translate artificial intelligence? Myths and justifications in public discourse. Big Data & Society 7(1): 2053951720919968. Rommetveit K and van Dijk N (2022) Privacy engineering and the techno-regulatory imaginary. Social Studies of Science 52(6): 853–877. |
| 第 4 週 | 物質性 Tennant C and Stilgoe J (2021) The attachments of ‘autonomous’ vehicles. Social Studies of Science 51(6): 846–870. Pelizza, A. (2021) Identification as translation: The art of choosing the right spokespersons at the securitized border. Social Studies of Science, 51(4), 487–511. |
| 第 5 週 | 政治經濟批判 Halpern O (2022) The future will not be calculated: Neural nets, neoliberalism, and reactionary politics. Critical Inquiry 48(2): 334–359. Rella, L. (2024) Close to the metal: Towards a material political economy of the epistemology of computation. Social Studies of Science, 54(1), 3–29. |
| 第 6 週 | agency Suchman, L. (2017) Agencies in technology design: Feminist reconfigurations. In: Hackett, E. et al. (eds) Machine Ethics and Robot Ethics. London: Routledge. Amrute, S. (2020) Bored Techies Being Casually Racist: Race as Algorithm. Science, Technology, & Human Values, 45(5), 903–933. |
| 第 7 週 | 公共 Marres, N. et al. (2024) AI as super-controversy: Eliciting AI and society controversies with an extended expert community in the UK. Big Data & Society, 11(2), 20539517241255103. Kwon, Y. & Hong, S. (2026) The fall and rise of Iruda: Reassembling AI through ethics-in-action. Social Studies of Science, 56(1), 53–74. |
| 第 8 週 | 問責 Amelang, K. & Bauer, S. (2019) Following the algorithm: How epidemiological risk-scores do accountability. Social Studies of Science, 49(4), 476–502. Avnoon, N. & Eyal, G. (2026) It’s not a bug, it’s a feature: How AI experts and data scientists account for the opacity of algorithms. Social Studies of Science, 56(1), 28–52. |
| 第 9 週 | 政治 Crawford, K. (2016) Can an algorithm be agonistic? Ten scenes from life in calculated publics. Science, Technology, & Human Values, 41(1), 77–92. Cellard, L. (2024) Theaters of Algorithmic Transparency and the Politics of Exemplarity. Science, Technology, & Human Values, 01622439241294008. |
| 第 10 週 | 治理 Liu, C. (2022) Seeing Like a State, Enacting Like an Algorithm: (Re)assembling Contact Tracing and Risk Assessment during the COVID-19 Pandemic. Science, Technology, & Human Values, 47(4), 698–725. Salter, B. & Salter, C. (2017) Controlling new knowledge: Genomic science, governance and the politics of bioinformatics. Social Studies of Science, 47(2), 263–287. |
| 第 11 週 | 知識 Jaton, F. (2023) Groundwork for AI: Enforcing a benchmark for neoantigen prediction in personalized cancer immunotherapy. Social Studies of Science, 53(5), 787–810. Pullen-Blasnik, H. et al. (2024) ‘Is your accuser me, or is it the software?’ Ambiguity and contested expertise in probabilistic DNA profiling. Social Studies of Science, 54(1), 30–58. |
| 第 12 週 | 氣候 Machen R and Nost E (2021) Thinking algorithmically: The making of hegemonic knowledge in climate governance. Transactions of the Institute of British Geographers 46(3): 555–569. Atasoy, Y. (2025) Agriculture by algorithm: Big data, digitalization, and biotechnology under climate change. Science, Technology, & Human Values, 50(6), 1291–1333. |
| 第 13 週 | Machine Learners by Adrian Mackenzie, Ch. 1& 2 |
| 第 14 週 | Cloud Ethics by Louise Amoore, Introduction & Ch. 2 |
| 第 15 週 | The Feel of Algorithms by Minna Ruckenstein, Introduction & Ch. 1 |
| 第 16 週 | 總結與分享 Assemblage Crosset, V. & Dupont, B. (2022) Cognitive assemblages: The entangled nature of algorithmic content moderation. Big Data & Society, 9(2), 20539517221143361. Hung, K.-H. (2024) Artificial intelligence as planetary assemblages of coloniality: The new power architecture driving a tiered global data economy. Big Data & Society, 11(4), 20539517241289443. |
教科書
Machine Learners by Adrian Mackenzie (selective chapters) Cloud Ethics by Louise Amoore (selective chapters) The Feel of Algorithms by Minna Ruckenstein (selective chapters) 其他閱讀文章請參考各週安排
Office Hours
- 地點
- 週二線上週四教室
- 時間
- 週二12:00-13:00; 週四15:20-16:10 (請先預約)
- 聯絡方式
- 學校email