Daniel C. HOWE (USA/HK|美國/香港)

[work – 1]

Advertising Positions: the China Edition 廣告儀(中國版)(2018)

Interactive digital installation with machine learning and gaze-tracking
65” monitor standing upright with Kinect
互動數碼裝置(具機器學習和眼動追蹤)
65寸顯示器直立擺放配有Kinect
位置:展覽館入口處

00_Adversting-positions

Synopsis

Advertising Positions is a sustained inquiry into the advertising mechanisms that currently fund creative content in online media, and the ways in which these mechanisms both enable creative practice (through, for example, the Hong Kong advertising industry) and frustrate certain types of expression, via participation in what has been termed ‘surveillance capitalism’. In Advertising Positions, local creatives are three-dimensionally scanned in a local studio to create a virtual model of their body which can be ‘skinned’ and animated. They are also given custom software that integrates with their web browser of choice. This software collects all the advertisements, largely tailored to the local Hong Kong context, that they are served during several months of online activity. Each of these media elements are then applied to a single polygon on the mesh skin of the participant’s virtual body. Once their ‘skin’ has been transformed via the advertisements of their contemporaries, they are procedurally animated according to their experiences. In the gallery, these generative models react to the gazes of audience members, much in the way that advertisements attempt to react to our interests.

《廣告儀(中國版)》是對準現今養活(贊助) 網絡媒體創意內容的廣告機制進行的持續研究,並質疑這些機制是否張開創意,如何以資金調控—即所謂的「監控資本主義」– 的同時容許創意實踐,又或更甚的(如香港廣告業)其實阻礙著某些表達。在這作品中,藝術家邀請本地創作人在本地的工作室中被進行三維掃描,以製作出他們身體可以被「去除」皮膚和被繪製的虛擬模型。 藝術家又發給他們特製的軟件與他們自選的網絡瀏覽器結合。軟件在幾個月的網絡活動中收集所有主要針對香港本地情況而製的廣告,然後這些廣告媒體元素被轉化為眾多的多邊形的表皮,附於參加者虛擬身體網格皮膚上。一旦他們的「皮膚」被時下的廣告改造,程式動畫便會根據他們的經歷展示出來。在展覽中,這些繪製模型對觀眾的凝視作出反應,正如廣告試圖對我們所關注的作出回應。

[work – 2]

Atomic Language Machines (2018)

Custom 14” NTSC monitors, bespoke software on embedded microcontrollers
14寸 NTSC 顯示器,微控制器上的特製軟件

Tell me how you are searching, and I will tell you what you are searching for.’
– Wittgenstein

「告訴我你如何尋找,我會告訴你在尋找什麼。」
-維根斯坦

01_Updated_PastedGraphic-1

 

Synopsis 簡介

An atomic language machine (ALM) is a discrete computational entity with the potential to change the direction, intent, or magnitude of a linguistic element. In general, ALMs can be defined as members of the simplest class of mechanisms able to realize linguistic advantage. Traditionally the term has referred to the three classical ALMs defined in early theoretical research associated with the ‘National Language Liberation Front’. The simplest of these were elementary devices consisting of a specific movement, often called a mechanism, which were to be combined with other devices and movements to form a new machine or machinic assembly. Thus even simple ALMs expressed modularity and could be considered as building blocks for more complex ones. Between simple atomic machines and complex assemblies, several intermediate classes have since been proposed, often termed compound-ALMs. This analytical view of ALMs as hierarchical modules decomposable into simple (or “atomic”) machines first arose in the early 2020s as a post-AI-crisis expression of counter-vectoralist thought (see ‘The Readers Project‘ for one prescient example), and now constitute a central part of applied linguistic praxis. For example, some of the simple ALMs on display here (the so-called construction, aggregation, and mutation engines) are still widely used in logographic input methodologies (text-entry in Chinese, for example), predictive completion algorithms, and a host of other quotidian applications; a fact often obscured in the literature.

Atomic language machine(ALM)是一組有潛能改變語言元素的方向、意圖或規模的離散計算體。一般情況下,ALM可以被定義為能夠實現語言優勢的最簡單機制的一種。傳統上,該術語所指的是“National Language Liberation Front” 相關的早期理論研究中所定義的三種經典ALM。其中最簡單的是由包含個別動態 — 通常被稱為機制的基本設備,與其他裝置和動態組合形成新機器或機械組合。因此,即使是簡單的ALM也有模塊化的表現,可以被視為更複雜的ALM的構建塊。在簡單的原子機器和複雜的組件之間,已曾出現過幾個中間類型,通常稱為複合ALM。這種把ALM視為分層模塊並且可分解成簡單(或「原子」)機器的分析觀點首先出現於2020年代初期,作為反病媒的後人工智慧危機表達(參見藝術家的前 作 ‘the Readers Project’ 為例),現在構成了應用語言實踐的核心部分。例如,這裡展示的一些簡單ALM(所謂的構造,聚合和變異引擎)仍廣泛用於語標輸入方法(例如中文文本輸入),預測完成演算法和其他日常申請的主機 ; 一個在文獻中經常被掩蓋的事實。

Bio 

rednoise.org

Daniel C. HOWE is an artist/researcher living in Hong Kong. His hybrid practice explores the impacts of data, networks, and algorithms on human values such as diversity, privacy and free expression. He has been an open-source advocate and contributor to dozens of socially-engaged software projects over the past two decades. His outputs include software interventions, art installations, algorithmically-generated text and sound, and computational tools for artists.

簡歷

Daniel C. Howe ,現居於香港的藝術家及研究員。他的混合實踐關注數據、網絡和演算法對人類價值觀的影響,涉及的概念如差異、私隱和表達的自由等。 在過去的二十年裡,他一直是數十個社會參與軟件項目的開源倡導者和貢獻者。 他的成果包括軟件干預,藝術裝置,演算衍生文本和聲音,以及為藝術家而設的運算工具。 他的成果包括軟件的干預和介入、藝術裝置、演算法衍生文字和聲音,以及為針對藝術家的運算工具 。