人工智慧開採行為剩餘：串流遊戲平台的演算法監控與遊戲工人勞動

Abstract

本文從監控資本主義出發，分析谷歌、微軟和亞馬遜等業者跨足串流遊戲市場，以演算法監控並開採遊戲工人的行為剩餘。串流遊戲平台能整合系統裝置和發行通路，直接面對消費者端而掌握遊戲定價權，社交連結也讓玩家自發地分享。技術優勢 除將既有的模組修改者、一般玩家、社群自製內容生產者納入工人行列，演算法的蒐集分析，也將玩家各種遊戲行為資料轉化獲利。至於「選擇」加入平台的遊戲開發商 雖增加銷售管道，但得面臨低價月費下商品營銷管控，或回應平台技術需求而淪為「高級監工」。最後在串流平台、遊戲開發商、玩家之間多重交錯的監視環境，權力與資本已交融一體，英國學者福克斯提出「共享社會」主張推動數位共享、平台合作與公共服務網路，是值得思考的問題解決方案。

This thesis utilizes surveillance capitalism to analyze technology companies, namely Google, Microsoft, and Amazon, which expand their business into the game streaming market and uses algorithmic to surveil and mine the behavioral surplus of playbours’ labor. Game streaming platforms are built with system integration and distribution channels, directly used by customers who can control their pricing power and voluntarily share with their social networks. The advantage of this technology brings in existing mods, gamers, social group content makers to labor’s range, collects and analyzes algorithmic, and transforms a variety of gamers’ behavioral data into profits. As for those game developers who “choose” to join the streaming platforms, though they have expanded sales channels, they have to manage product sales with low monthly payments contributed by customers, or they are reduced to “high-class supervisors” to meet the needs of the platforms. Finally, due to streaming platforms, game developers, gamers being inextricably intertwined under surveillance, and power and capital being blended, British scholar Fuchs Christian proposes “a society of the commons” and promotes digital commons, platform cooperatives, public- service Internet; such resolutions are worth considering.