Voices of Photography攝影之聲, 九月 | 誠品線上

Voices of Photography攝影之聲, 九月

內容簡介

內容簡介 VOP Issue 35：AI生成術──世界作為數據AI Generation: The World as Data全球對「生成式AI」技術的狂熱方興未艾。媒介理論家維蘭．弗盧瑟（Vilém Flusser）在上世紀曾預見新興社會結構愈發像是一個大腦，而技術圖像作為「全球神經系統的分泌物──即對超級大腦的夢想」已然浮現，並構成了全面自動控制的條件。然而，就在迎接「後攝影」時代到臨之前，世界仍面臨難題。借鑑弗盧瑟所言，人們尚未達到令AI能讓人類真正自由創造的階段，我們反而仍被相對原始的AI控制；我們還未能適當地理解AI，因此也無法妥善地設置AI。而這構成了我們在此的思索與挑戰。本期專訪並介紹多位藝術家和他們的藝術實踐。透過自行建構數據系統，崔佛．帕格倫（Trevor Paglen）介入機器如何「觀看」的程序，考察視覺技術的內在政治與AI演算的認知盲域，以及人類日常被量化的不可見性。諾拉．愛爾—包崔（Nora Al-Badri）關注當前機器學習的黑箱操作與掠奪，伊拉克裔的她逕自攫取（因申請遭拒）那些大量蒐羅當地巴比倫物質文化遺產的多間博物館的線上館藏資料，由此訓練神經網絡系統來生成新的數位「文物」，揭示博物館的帝國主義侵佔史以及仍舊持續的檔案霸權。而作為對現行AI數據庫高效擷取／判讀的反思，安娜．瑞德勒（Anna Ridler）選擇經由田野採集和繁複的手工分類建檔，創設自己專屬的數據集來生成影像，顯現「數據」與實體世界之間極為密切卻受隱蔽的關聯。安晙（Ahn Jun）質問AI的「自我」意識與形像建構，嘗試突破圖像生成器中被封鎖的提示指令，迫使AI對自身的存有問題進行視覺回應──一具具削瘦的背影、詭異的自畫像與綺麗的不明房間。在本期收錄的專文中，希朵．史戴爾（Hito Steyerl）析論由機器學習生成的影像何以是將世界多樣性與價值差異予以簡化壓縮和平均化的數據民粹產物──她稱之為「mean image」──一種「均值／惡劣的影像」，而「人工智慧」則實際上是對外包的「工人智慧」勞動力的新型態剝削。許煜思辨近期由ChatGPT所引發關於人類終將被自動化機器取代之論，主張建立AI技術對人的輔助解放而非敵對競爭的人機關係，中止將機器擬人化和神秘化的想像，以消弭此一自我實現的末日預言。喬安娜．澤琳斯卡（Joanna Zylinska）則以後人類觀點提出應打破人與機器的明確分界，將機器的「創造力」重新校正為人類創造力所具有的計算性質，同時警示現今由科技產業巨頭大力資助推動的AI藝術風潮，最終是為新自由主義服務的一種表現。同為機器中介影像，回顧1820年代首張攝影影像的誕生，那模糊如夢的窗景畫面也與AI生成影像有相似之趣。許鈞宜探索往返於光化學機械複製與數位圖像算繪、照片庫與數據集之間的歷史通道，顯映出將人類排除在外、深植於機器影像自動生產中的無人夢境。張世倫探討近年蔚為風潮的古寫真後製上色，論證影像的色彩政治與現實幻象，以及懷舊情調裡所隱含受壓抑的歷史情結。而Artist’s Showcase單元則呈現三保谷將史（Masashi Mihotani）的作品，在消費性影像的再生產之中，濃縮當代社會的顯微風景。本期出版之際，《攝影之聲》也正式度過第十二周年。面對飛速生成的世界，我們更珍惜所有慢慢想、慢慢做、慢慢讀的時刻與空間，在此特別感謝親愛的讀者。The global interest in “Generative AI” technology is on the rise with no signs of slowing down. Media theorist Vilém Flusser foresaw in the last century that the structure of the emerging society would increasingly resemble that of a brain, and the technological images, as “the secretion of the global nervous system, the dreaming of a superbrain”, have now come into fruition, fulfilling the conditions for a cybernetical control of the global brain. However, at this juncture when the world is welcoming the era of ‘post-photography’, there remain questions. Borrowing from Flusser’s vision, human beings have yet to reach the stage where they are able to fully and truly create with AI. Instead, we are controlled by a relatively primitive version of AI that has not been properly understood, and therefore not properly installed. This constitutes our contemplation and challenge here.This issue features interviews with various artists and a look at their practices. Trevor Paglen intercepts the process by which machines ‘sees’ through a self-constructed data system, and examines the inherent politics of visual technology and the cognitive blind fields with regard to AI algorithms, as well as the invisibility of our everyday lives that has been readily quantified. Nora Al-Badri turns her attention to the black box operation and invasive nature of machine learning. With Iraqi background, she generated new digital ‘artifacts’ using materials she scrapped online (as her formal application was rejected) from the local Babylonian tangible cultural heritage collection hosted by various museums as training data for the neural network, hence becoming in itself a display of plundering throughout the history of imperialism and the ongoing archival hegemony. As a reflection on the efficient data extraction and interpretation by existing AI databases, Anna Ridler chooses to generate imagery using her own dataset that she created through complex ways of data gathering and archiving as a demonstration of the close-knit yet concealed relationship between ‘data’ and the world. Ahn Jun questions the AI’s ‘self’ consciousness and image construction, and tries to break through to the blocked prompts in the image generator, thus forcing the AI to respond to its inherent problems in the form of visuals: the rear view of thin bodies, bizarre self-portraits and beautiful rooms unknown to any.

產品目錄

產品目錄 崔佛．帕格倫Trevor Paglen訪談─許鈞宜 Interview by Hsu Chun-Yi諾拉．愛爾—包崔Nora Al-Badri訪談─謝佩君 Interview by Hsieh Pei-Chun關於人工智慧──那些你可能看過卻未必熟悉的詞Artificial Intelligence: Terms You May Have Seen but May Not Know均值／惡劣的影像Mean Images希朵．史戴爾 Hito Steyerl安娜．瑞德勒Anna Ridler訪談─許鈞宜 Interview by Hsu Chun-Yi早安，約翰：安晙Good Morning, John: Ahn Jun訪談─劉安蓁 Interview by Annette An-Jen Liu生成影像的深度夢域The Deep Dream Field of Generative Images許鈞宜 Hsu Chun-YiChatGPT，或機器的末日論ChatGPT, or the Eschatology of Machines許煜 Hui Yuk影像僅供說明之用──三保谷将史Images are for Illustration Purposes: Masashi Mihotani訪談─李威儀 Interview by Lee Wei-I關於懷舊「上色熱」的一些初步思考Some Initial Reflections on Nostalgic "Colorization Fever"張世倫 Chang Shih-LunAI藝術──機器視覺與變形之夢AI Art: Machine Visions and Warped Dreams喬安娜．澤琳斯卡 Joanna Zylinska

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