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# Making the transparency report complete: detailing the surveillance part ## 透明度報告補完計畫:關於政府監控【譯】 ###### tags: `summit2018` {%hackmd ry-5qaFFm %} 講者 何明諠 台灣人權促進會 清華大學電機系、哲學所畢業。儘管人生看似嚴重錯頻,但台權會的工作似乎又巧妙地結合兩者。從事台權會工作至今,被迫不停質疑網際網路表面上的生態運作(特別是使用者隱私與言論背後的運作機制),可能已無法再回到過往的使用者狀態,但又隱隱覺得或許這才是一個健康的狀態也說不定 [法務部擬修《通保法》調通信紀錄免法官審核2018/09/19](https://www.storm.mg/article/502800) #### ##### 公部門間交換 案例:法眼系統 台灣法務部調查局為了犯罪偵查而做的資料庫,結合戶籍、金融、交通、經濟、犯罪紀錄等。 法務部調查局拒絕透露資料細項及規模。 案例:M-Police ([在智慧城市上的介紹](http://smartcity.org.tw/apps_detail.php?id=52)) 警政署建置的系統,交通警察持有的裝置上的軟體,具有人臉辨識功能。 10年使用次數達8億次,平均每日2萬多次。 ##### 公-私部門間交換 案例:異常情資交換平台 搜集政府、學校、民間企業的網路異常事件,交換比對問題 IP、電話、Email 等,以提早發覺攻擊來源。 ##### 私部門間交換 案例:金融聯合徵信中心 由金融單位們共同打造的資料庫,每間銀行都可以存取這個資料庫。 當事人可以查詢自身的信用狀況。 > [name=allenlinli] 如何查呢? > 可以[親臨或線上查](http://www.jcic.org.tw/main_ch/docDetail.aspx?uid=451&pid=168&docid=474)的樣子 [name=caasih] 有一些問題,如取用權限不清、當事人不曉得自身資料掌握、判斷信用的方式不清、資訊安全問題。 #### 尚未被揭露的部分:使用新興技術進行監控 - 生物識別技術: - 由於人臉辨識不準,使用其他生物特徵來辨識 - 法源不明 - 案例:台鐵豐原站、便利商店櫃台螢幕 - 新興技術的功能蛻變 - 法源依據:個資法第15、16條,刑事訴訟法 - 案例:eTag 平均測速系統,原本做收費用,但轉變為「涉案車輛巨量資料情資處理平台」,掌握犯罪車輛開過哪裡 - 侵入式技術:在目標裝置中植入相關軟體或硬體 - 法源依據:不明 - 案例:Hacking Team, [Finisher](https://citizenlab.ca/tag/finfisher/), GPS Tracker - 儀器控制技術:取得非自身擁有的儀器的所有權的軟體 - 法源依據:不明 - 案例:XRY、UEFD - 可以解鎖、復原已刪除的裝置、軟體 隱私國際 [Surveillance Industry Index](https://sii.transparencytoolkit.org/) 講者建議 ### 後續的問題 - 各類型案件須有哪些資訊或資源才能使公民社會完成有效監督? - 何謂「有效」監督? - 法律是否有規定要揭露訊息? - 所揭露的資訊是否充足? - 政府與業者可被課責的範圍? - 如何揭露? - 報告? - 網站? - 其他?app 等 ## 問題留言: 問題: 個資法狀況如何? 有基本的規範,但有不少特殊條款讓一些條件通過。 台權會是否用一些案例來做倡議? 目前有,也跟政府有點處於對立、監督的立場。在對於案件的報導其實無法容易地解釋其細節,說服人民該侵犯隱私的動作是不好的。有時候需要圖形、視覺化的方式來簡單讓人民了解、被打動。 Q: 不知道台灣個資法的現狀跟 GDPR 在執行面主要差在哪裡? A: 台灣個資法和 GDPR 的大差異? 台灣沒有個資法的主管機關,之前是說法務部,現在是國發會來「解釋」。但會讓各主管機關自己決定如何「落實」。

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