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--- art_and_ai._machine_visions [2021/03/02 09:59] – [Tuesday Morning] fstalder
+++ art_and_ai._machine_visions [2021/03/11 09:00] (current) – [Friday Afternoon] fstalder
@@ Line 49: / Line 49: @@
 [[https://www.youtube.com/watch?v=YJjv_OeiHmo| The racist soap dispenser]] @ Facebook, 2017
+[[https://portraitai.app| PortraitAI]] [[https://twitter.com/liatrisbian/status/1368960616023666688| Sarah L. Fossheim's experiment with poc faces]]
 **Colour Bias in Analogue Photography**
@@ Line 84: / Line 86: @@
 ===== Tuesday Afternoon =====
-Timnit Gebru: [[https://youtu.be/23MxOh99N54 |Computer Vision: Who is Helped and Who is Harmed?]] (02.2021), 03-46
+Timnit Gebru: [[https://youtu.be/23MxOh99N54?t=197 |Computer Vision: Who is Helped and Who is Harmed?]] (02.2021), 03-46
    * Watch the talk and note the main points in the pad.
+  * [[https://twitter.com/BLMPrivacyBot|BLMPrivacyBot]]
+  * Rothkopf, Joshua. 2020. “[[https://www.nytimes.com/2020/07/01/movies/deepfakes-documentary-welcome-to-chechnya.html|Deepfake Technology Enters the Documentary World]].” The New York Times.
 Trevor Paglen
@@ Line 113: / Line 119: @@
 **Reading your character (and future behavior) from your face**
-AI "Gaydar" Original Paper
-Wang, Yilun, and Kosinski, Michal. 2017. “Deep Neural Networks Are More Accurate than Humans at Detecting Sexual Orientation from Facial Images.” [[https://osf.io/zn79k/]]
 Levin, Sam. 2017. “[[http://www.theguardian.com/technology/2017/sep/12/artificial-intelligence-face-recognition-michal-kosinski|Face-Reading AI Will Be Able to Detect Your Politics and IQ, Professor Says.]]” The Guardian (Sept. 12).
-Critique of this paper
+**Critique of this paper**
 Agüera y Arca, Blaise, Margret Mitchell, and Alexander Todorov. 2018. “[[https://medium.com/@blaisea/do-algorithms-reveal-sexual-orientation-or-just-expose-our-stereotypes-d998fafdf477|Do Algorithms Reveal Sexual Orientation or Just Expose Our Stereotypes?]]” Medium (Jan 11).
-A fundamental critique of the approach
+**A fundamental critique of the approach**
 Agüera y Arca, Blaise, Margret Mitchell, and Alexander Todorov. 2017. “[[https://medium.com/@blaisea/physiognomys-new-clothes-f2d4b59fdd6a | Physiognomy’s New Clothes.]]” Medium (May 7).
+**Further reading**
+Wang, Yilun, and Kosinski, Michal. 2017. “[[https://osf.io/zn79k|Deep Neural Networks Are More Accurate than Humans at Detecting Sexual Orientation from Facial Images.]]” ((Original " ai gaydar" paper)
 ===== Thursday =====
@@ Line 133: / Line 140: @@
 **Artist Talk and Workshop by Adam Harvey** (Full day)
-[[https://ahprojects.com | Art projects about privacy, computer vision, and surveillance]]
+Adam Harvey's [[https://ahprojects.com | Art projects about privacy, computer vision, and surveillance]]
 ==== Friday Morning ====
@@ Line 139: / Line 146: @@
 Discussion of Readings Wednesday Afternoon
-[[https://web.br.de/interaktiv/ki-bewerbung/|Fairness oder Vorurteil. Einsatz Künstlicher Intelligenz bei der Jobbewerbung fragwürdig]] Bayrischer Rundfunk. 2021
+[[https://web.br.de/interaktiv/ki-bewerbung/|Fairness oder Vorurteil. Einsatz Künstlicher Intelligenz bei der Jobbewerbung fragwürdig]] Bayrischer Rundfunk. 2021 [[https://web.br.de/interaktiv/ki-bewerbung/en| English Version]]
 Hito Steyerl (2016) [[https://youtu.be/iyEBXewn7ys?t=1571 | Keynote Conversation: Anxious to Act]] transmediale 2016, 23 Min
 Steyerl, Hito. 2016. “[[https://www.e-flux.com/journal/72/60480/a-sea-of-data-apophenia-and-pattern-mis-recognition/|A Sea of Data: Apophenia and Pattern (Mis-)Recognition.]]” e-flux Journal (april)
+Salvaggio, Eryk. 2020. “[[https://www.cyberneticforests.com/news/creative-strategies-for-algorithmic-resistance|Creative Strategies for Algorithmic Resistance!]]” Cybernetic Forests (June 29).
@@ Line 149: / Line 159: @@
 Writing of short story
+==== Material added after the course ====
+Schiller, Devon. 2020. [[https://networkcultures.org/longform/2020/06/22/on-the-basis-of-face-biometric-art-as-critical-practice-its-history-and-politics|On the Basis of Face: Biometric Art as Critical Practice, Its History and Politics]]. Amsterdam: Insitute for Network Cultures.