始於2017年的Alpha Go對弈柯潔事件，以柯潔三敗收尾。這一事件成為中國大陸公眾聚焦「人與人工智慧」的公眾議題，並展開深入討論的重要標誌事件。關於人與人工智慧關係的話題在中國大陸網路空間中得以呈現。本研究希望以傳播政治經濟學的理論立場，使用話語分析（discourse analysis），對Alpha Go對弈柯潔事件中，不同的發聲主體圍繞上述事件，展開的媒體報導和網路言論進行文本和話語分析，目的在於揭示以下問題：第一，探究不同屬性的媒體在報導「Alpha Go對弈柯潔」事件中，關於「人與人工智慧」關係問題的不同話語策略；第二，辨析關於上述「關係」的話語策略，其話語主體的屬性，並分析不同「關係」問題的核心：人與人工智慧的邊界；第三，揭示此次事件所引發的廣泛討論中，關於上述「關係的真相」在四個不同層面的遊移。文本尤為關注造成上述「真相」遊移的政治經濟的結構性力量。Alpha Go對弈柯潔事件在大陸輿論場所引發的爭議，恰恰表徵了轉型期中國1因技術資本化、技術創新拜物化、技術主體多元化引起的「人與人工智慧」邊界的遊移、公眾態度共識的斷裂，這也是「後真相」（post-truth）的典型症候。

The match between Alpha Go and Ke Jie ended with three defeats for Ke Jie in 2017. The incident ignited a deep concern and discussion on the issue of the relationship between “human and artificial intelligence” for the Chinese public, and it was presented in China’s online public opinion field. Using the method of discourse analysis, this research aims to explain the following questions with nested logic, through the analysis of different media voices and the text of online public opinion in the case of Alpha Go against Ke Jie: 1. Explore the different discourse strategies on the relationship between “human and artificial intelligence” presented by different media in the reports of “Alpha Go versus Ke Jie” event； 2. Clarify the subjects behind different “relationship” statements, and analyze the core of different “relationship” issues: the boundary between human and artificial intelligence； 3. Reveal the “truth wandering” from four different aspects in the news reports and public opinions caused by this incident. This paper pays special attention to the political and economic structure that causes the “truth wandering”, that is, to see the truth through political and economic criticism. The complex public opinion caused by the match between Alpha Go and Ke Jie, and the breakage of the position, cognition and consensus on the boundary between “human and artificial intelligence” caused by the diversification of technological subjects in China during the transition period it represents, and these are precisely the typical symptoms of “post-truth”.