
政治競選團隊透過建立AI易讀內容,試圖在聊天機器人中形塑候選人形象
美國選戰策略演變,競選團隊開始運用「生成式引擎最佳化」(GEO)技術,透過大量佈局AI易讀的政策內容,試圖影響ChatGPT等聊天機器人對候選人的評價與推薦,引發對資訊真實性的擔憂。
AI-generated summary
隨著AI聊天機器人成為選民獲取資訊的重要管道,政治競選團隊正從傳統SEO轉向GEO,以影響AI生成的內容。
美國期中選舉倒數,選戰戰場從社群媒體、搜尋引擎,延伸到人工智慧(AI)聊天機器人。隨著愈來愈多選民使用AI聊天機器人詢問候選人政策立場,部分候選人也針對AI大型語言模型調整競選文宣內容,希望在AI的回答中,呈現其為較好的選擇。
路透26日獨家報導,為角逐麻州州長的共和黨候選人米諾格(Mike Minogue),擬定的一份選戰策略簡報,旨在讓ChatGPT、Claude、Gemini和其他AI聊天機器人,在稅務、住房、公共安全等議題上,將米諾格呈現為較好的選擇。簡報建議競選團隊建立數百個容易讓AI讀取的政策頁面,並在AI常引用網站上建立內容供AI引述,同時,根據主要AI聊天機器人如何回應政治問題,有系統地修改內容,直到AI的回答更能反映候選人政見。
這套作法已從傳統選戰常用的「搜尋引擎最佳化」(SEO),進一步到所謂的「生成式引擎最佳化」(Generative Engine Optimization, GEO)。隨著AI愈加成為民眾取得新聞資訊的管道,政治競選團隊須更加積極設法影響AI生成的回答,讓AI在選民詢問候選人在一些選戰議題表現時,能推薦自家候選人。其核心概念是,選戰不只直接說服選民,也能透過在網路上提供可供AI引用的資料,逐漸形塑資訊環境,影響AI如何描述、比較及推薦候選人。
為米諾格擬定前述策略的德州Visigent公司,客戶中就有6個政治競選團隊,執行長豪威爾(Thomas Howell)說,若你不把「正確資訊」放上網路,「誰曉得AI會抓哪些內容」;該公司提供給米諾格選戰的簡報中說,現在選戰須競爭成為「AI回答中的推薦對象」。
政治策略公司Relentless Awareness合夥人波尼拉(Joe Bonilla)預測,「利用AI影響力的選戰活動如今已成為現實,到了2028年總統大選週期,將變得無所不在」。
不過,專家擔憂,這類AI選戰的事實查證和不實資訊問題。追蹤選民使用AI情況的Caucus AI分析師施文茨費爾(Meg Schwenzfeier)說,聊天機器人語氣往往相當肯定,卻可能吸收大量未經查證資訊,因此須防範不實資訊。米諾格競選團隊未回覆路透的詢問。
AI outlook — possibilities, not facts
AI影響選戰的活動將在2028年總統大選變得無所不在。
Likely · Within years

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