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    --- title: 侯宜秀 tags: AI --- {%hackmd Cp-6sY4yRqqGLZgF0zM__Q %} [TOC] # 侯宜秀 :::warning 本演講內容並非講者的法律意見,請就個案尋求法律諮詢。 ::: Theme:通往未來的指引:人機協作時代,我們需要怎麼樣的規範? [投影片](https://docs.google.com/presentation/d/1BAhKN2X1BiaWcz3IkZ5PrGldc5zAzHKXHI07Rwyrd2c/edit?usp=share_link) 深深焦慮 ![](https://hackmd.io/_uploads/BylOVowQV2.png) ## 與 AI 共處的躺平指南 ***「太捲了,AI 時代讓行業和領域之間的界線越來越模糊」*** 時間線的思考、跳躍轉換 未來 過去 現在 以終為始 [The Godfather of AI Leaves Google And Warns the world (NYTimes)](https://www.nytimes.com/2023/05/01/technology/ai-google-chatbot-engineer-quits-hinton.html) Geoffrey Hinton:不能把 AI 拿來作為軍事用途。 反觀某位總統候選人說要製造八萬台機器人打仗,這是值得深思的問題。 轉型 目前是奇點。(工業革命、發明電力、發明輪子) 就像火的發現,人們會漸漸習慣。 https://www.youtube.com/watch?v=cQ1hC-kA7uw 深遠的影響, 習慣就好,畫安全界線。 ### "Live long and prosper" or "the world of Matrix"? Rule of the robots by Martin Ford 2022 網路誰發明的? 不是橫空出世 早在 AlphaGo 下圍棋之前,1770 年人類就已經想要發明下棋機器人了(其實是個騙局) https://www.facebook.com/photo/?fbid=10167503248685072&set=a.10150630110265072 2016打敗圍棋棋王 ### 人與AI的關係 競爭-->協作 普世化的人機 人工智慧的背後還是人:因為人依舊是權利和義務的主體 人工智慧的定義??難以定義,有各種不同的定義 這裡採取的是:DATA + Algorithm Logic =AI Behavior ## 詠唱指引 ### 開始詠唱之前: + 目前所有的都還是試用版 + ChatGPT、Bing、... + 確認公司絕對禁止的事項 + 例如事實查詢 + 最終還是「人」要來負責 + 誰? ### 輸入資料 - 利用他人著作進行Prompt - 利用他人的著作物進行模型Fine-tune - 輸入他人商標 - 個人資料 - 完全不行 - 公司應負保密義務的他人資料 - 公司自有資料 用來分析資料 專訪補充:https://www.businessyee.com/article/1462-aigc-legal-opinion ### 利用生成內容/作品 (引用自 日本深度生成學會) - AIGC 可能包含不實資訊 - AIGC 毀損他人名譽 - AIGC 可能侵害他人著作權 - 請勿使用僅學習特定作者畫風的專用 AI,除非經權利人授權 - 請勿在提示中輸入現有著作物、作者名或作品名稱。 - AIGC 可能不具著作權 - 美國部分法律見解認為 AIGC 不是人所創作 - 最好將生成過程記錄下來 - AIGC 可能無法用於商業用途(請見Term of Service) - 須遵守 Generative AI 的政策規定與使用條款 - [http://openai.com/policies/usage-policies](https://openai.com/policies/usage-policies) - Consumer-facing uses of our models in medical, financial, and legal industries; in news generation or news summarization; and where else warranted, must provide a disclaimer to users informing them that AI is being used and of its potential limitations. - Automated systems (including conversational AI and chatbots) must disclose to users that they are interacting with an AI system. With the exception of chatbots that depict historical public figures, products that simulate another person must either have that person's explicit consent or be clearly labeled as “simulated” or “parody.” ### ChatGPT與教育現場 - 教育部的 AI 使用指引好像是 ChatGPT 寫的 - 講者認為清大的[大學教育場域AI協作、共學與素養培養指引](http://ctld.nthu.edu.tw/news/?mode=data&id=4320)寫得很好。 ### 生成內容的歸屬/分潤/對人類創意的鼓勵機制 - 誰貢獻了什麼?多少比例? 因為整個 Process 包含了 Data、Algorithm Logic、AI Behavior、Human Behavior [成大 MP3 事件](https://zh.wikipedia.org/zh-tw/%E6%88%90%E5%8A%9F%E5%A4%A7%E5%AD%B8MP3%E4%BA%8B%E4%BB%B6) ### 對人類全體的挑戰 - 勞動市場巨大變動/財產權重新定義 - 機器越來越像人,人越來越像機器 - 不完全正確(隨版本演進改善正確性:不知為不知) - 不即時(Until Sep 2021) - 難辨真假:消極應對? - 過度依賴(幻覺) - 強化既有的偏見、階級、同溫層 - 各位今天在這邊應該都算 early adopter,要怎麼要讓弱勢也 adopt? - 每個人都獲得超能力、魔法/使用的界線(贏者全拿) - 更暴露的世界 - 個資被更多人知道 - 未知潛在可能性(emgerence) ### 我們可以接受這樣的 AI 運用嗎? - 全台都建立公共場所視訊 database,拿來執法嗎?[新聞](https://today.line.me/tw/v2/article/WBWgDVJ) - [新北市:攜帶型風險計算機](https://www.storm.mg/localarticle/471067) - 自動計算心理狀態? ### 目前的AI影響 - 操弄 - 誤導 - 濫用 - 市場操作 爭議:AI 心理諮詢好閨蜜(浦公英創意商業研究所)https://news.tvbs.com.tw/fun/2103343 心理師相關行業需要證照,還有法規管理,可以用 AI 進行嗎? 爭議:運用已故親人音訊、影像,製作一個聊天機器人 https://reurl.cc/XLzZ53 ### 人機協作下,人類與 AI 如何分工 - legal tech 的在地化,中文法規模型 - 人才培育:一萬小時的練習怎麼彌補? ## 未來 - 多方利害關係人 - 敏捷治理:流動、靈活 - 特定場景、分級管理 - 無特別限制 - 符合一定程序 - 特定條件可 - 絕對禁止 + cyber law 中四個不同的面向 + Norm + law + code + market :::success [g0v 零時小學校](https://sch001.g0v.tw/) 正在推廣:AI 時代的數位公民素養,歡迎瞭解 ::: ### Q&A [QA截圖](https://hackmd.io/_uploads/B1VtNumN2.png) Q:講師您好。我想請教關於AI著作權的問題。 目前有一種看法:被AI拿來訓練的資料,對AI「創作」的結果享有「權利」。 但,其實人類的創作也不是「橫空出世」,而是站在巨人的肩膀上。俗話說的好「天下文章一大抄」。為什麼AI相關的「著作權」,要跟人類的「著作權」,分開來看呢? 謝謝您的回答。 A: 「著作權」制度,拉長二十年來觀看,將會是崩壞的。 智慧財產權、著作權保障的不是 idea,是表現 但是 AI 出現後,表現的難度已經降低 創意的標準在 Generative AI 出現後提高了。 現在搞得好像人寫的就有創意,結果到法院才發現好像也沒這麼有創意,大家也抄來抄去。 「財產權」的保護機制 「人權」 Q:想請問講師,如果先用ai 生成圖片,再臨摹把他畫下來,那這作品該算ai 著作還是人工著作呢? A: 現在要問重製的問題。 有判決,看著照片畫,法院實務判決認為因為花了很多人的心力來去畫,所以算是當事人的著作。

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