iVOD / 169377

Field Value
IVOD_ID 169377
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/169377
日期 2026-05-12
會議資料.會議代碼 院會-11-5-9
會議資料.會議代碼:str 第11屆第5會期第9次會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 9
會議資料.種類 院會
會議資料.標題 第11屆第5會期第9次會議
影片種類 Clip
開始時間 2026-05-12T14:46:41+08:00
結束時間 2026-05-12T15:02:27+08:00
影片長度 00:15:46
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/0cec772f6559b9e464deef913771db0fc095463f94dab4fdd817488d83a1324c1b1b31f5abdde3215ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 洪毓祥
委員發言時間 14:46:41 - 15:02:27
會議時間 2026-05-12T09:00:00+08:00
會議名稱 第11屆第5會期第9次會議(事由:一、討論事項:本院台灣民眾黨黨團擬具「醫療法第十二條、第一百零二條及第一百零二條之一條文修正草案」,請審議案;本院委員蘇清泉等28人擬具「醫療法第十二條條文修正草案」,請審議案;本院委員羅廷瑋等17人擬具「醫療法第十二條及第一百零二條條文修正草案」,請審議案等2案。二、對行政院院長提出施政方針及施政報告繼續質詢。三、5月8日上午9時至10時為國是論壇時間。)
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transcript.whisperx[0].start 1.308
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transcript.whisperx[0].text 蔥偉好好 院長好 主委好這個因為上次的話上次的話有跟院長在經濟委員會質詢說許願就我們希望把這個資訊跟雲服務等等這樣的東西的系統採購入法那上次我也有質詢過這個陳主委那我想在採購法這個地方
transcript.whisperx[1].start 25.816
transcript.whisperx[1].end 52.026
transcript.whisperx[1].text 因為在我們之前包含像公共工程委員會我們在113年2月也揭露大概有14項的這個資訊服務系統的一個採購的類型那我這邊大概列出了幾項包含了我們整個的需求的定義啦我們的驗收的一些的標準那甚至我們一些不定底價然後呢
transcript.whisperx[2].start 53.117
transcript.whisperx[2].end 78.914
transcript.whisperx[2].text 用一些最優歸的一個方式來進行所以這個會造成我們在一些的需求上的不清楚低價的得標然後呢比如說廠商做不完驗收沒辦法過那上限出問題那種種廠商沒有利潤就劣幣驅逐良幣所以我想這個東西呢在過去的時候葉澤良在擔任公共成為的副主委
transcript.whisperx[3].start 80.134
transcript.whisperx[3].end 101.52
transcript.whisperx[3].text 他那時候想要修這個採購法但是呢我們那時候發現好像阻力很大那就提出了政府資訊服務採購作業指引跟資訊的雲端服務的採購的契約的範本那其實這兩本寫得很好比如說像你現在看到的這個採購法的資訊服務的話他從預算規劃需求規格
transcript.whisperx[4].start 107.661
transcript.whisperx[4].end 126.326
transcript.whisperx[4].text 廠商的供應鏈、旅約的查核一直到專業驗收跟爭議的處理其實在那個指引有甚至我們在因應比較新時代的雲服務、AI服務的話這一個東西我們在政府將來採購雲端或者是AI這些服務的時候
transcript.whisperx[5].start 130.049
transcript.whisperx[5].end 149.342
transcript.whisperx[5].text 那怎麼讓他是可控制、可持續、可退出跟可問責其實這些都有規範但是我們在資訊業界還是希望他能夠入法因為這個東西連行政命令都不是那指引如果不遵守我們還是會有剛剛我講的這些我們政府系統的問題所以
transcript.whisperx[6].start 151.621
transcript.whisperx[6].end 179.854
transcript.whisperx[6].text 我只要求說這個陳主委可以把我這個列入考慮那如果需要跟我們討論因為上次副主委也說我們可以貢獻這個專業然後跟各位一起來討論這樣的東西好 謝謝委員這個雖然有一些指引跟評選辦法的確是母法裡面沒有相關的設計那政府採購法目前我們在聽取各界意見當中預計年底希望能夠整合意見來
transcript.whisperx[7].start 181.072
transcript.whisperx[7].end 181.352
transcript.whisperx[7].text 接下來我們請蘇巴部林部長
transcript.whisperx[8].start 217.622
transcript.whisperx[8].end 235.973
transcript.whisperx[8].text 部長好 委員好上次我在質詢的時候其實我想要問的其實是幫我們軟體產業請命其實從這些軟體的預算我們這個一直都是比硬體的預算要低很多那我為什麼上次會談到AI的軟體發展的戰略下一張
transcript.whisperx[9].start 239.366
transcript.whisperx[9].end 267.447
transcript.whisperx[9].text 上次問主委這個問題主要是說我們速發部主管的是我們的軟體產業資訊服務產業所以我們身為這邊的大家長我當然當時的希望是說部長可以對這些資訊的現況有一點瞭解包含比如說我們在主計出663的這些的家數員工數他的產值以及比如說我們在上市上櫃這些東西
transcript.whisperx[10].start 268.43
transcript.whisperx[10].end 288.691
transcript.whisperx[10].text 甚至我們這些裡頭的資訊服務廠商的類型那原因很簡單因為我們整個軟體產業都是靠速發部希望能夠訂出好的軟體的戰略然後引領大家一起走那我今天也不要求部長給我這個要考試的不用了我們就直接把它列出來
transcript.whisperx[11].start 290.305
transcript.whisperx[11].end 310.151
transcript.whisperx[11].text 像我自己的話我們大概就是說整個資訊服務產業大概就是差不多有1.7萬家員工數大概12.7萬去年的產值大概是6600多億在SARS那個時候可能就是再好一點可能是到8000多億了所以大概是在這裡流泡但是我們的上市商櫃公司大概差不多是48到50
transcript.whisperx[12].start 312.418
transcript.whisperx[12].end 336.095
transcript.whisperx[12].text 因為現在在新規要排著上去我們在上市上多公司的產值大概是1500億到1800億其實佔我們整體的比重很低大概差不多0.4% 它不到1%0.4%到0.8%所以我們就一直希望說在速發部帶領的這些軟體產業AI是一個新的機會所以我們要怎麼樣去做
transcript.whisperx[13].start 337.136
transcript.whisperx[13].end 348.436
transcript.whisperx[13].text 那這個時候我也去翻了因為從以前部長上任我們就來看嘛因為我們整個都要看這件事那部長講了很多再幫我下一個都按出來
transcript.whisperx[14].start 351.328
transcript.whisperx[14].end 365.593
transcript.whisperx[14].text 就是說部長討論的這個是project到product軟硬整合現在我的問題就是我從這個行業畢業從博士班畢業到現在27年其實我從27年前
transcript.whisperx[15].start 368.269
transcript.whisperx[15].end 384.861
transcript.whisperx[15].text 就知道要這樣子做經濟部那時候也談出說我們軟體產業不要做專案要做軟體產品服務但很難軟硬整合我也做過很多硬帶軟 軟帶硬然後你硬體廠商出口軟體怎麼幫他加值等等
transcript.whisperx[16].start 386.162
transcript.whisperx[16].end 412.009
transcript.whisperx[16].text 現在又聽到這樣子的口號我比較好奇的是說部長有什麼樣子的新的做法可以說以前我們做不到的現在可以做得比較好這樣子事實上就是如同剛剛委員跟工程會所講的就是說我們現在的軟體採購政府之前的軟體採購就是說政府很喜歡叫廠商去改東改西的明明一套軟體它已經是都做好了
transcript.whisperx[17].start 412.449
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transcript.whisperx[17].text 好像那個政府的習慣就是會叫廠商說改這裡改那裡好像公務員覺得說不叫廠商改什麼就好像是有虧職守所以我們現在就是在跟工程會合作我們會去還有那個軟體工會我們修改軟體採購契約的範本那也如同剛才委員所講的包含這個雲端的產品等等那以前我們的這些軟體採購的各種契約範本都是以project的概念
transcript.whisperx[18].start 438.72
transcript.whisperx[18].end 461.419
transcript.whisperx[18].text 去做的所以很多的那個都是用什麼驗收怎麼樣好那我們現在就是先想辦法就是說從軟體採購契約範本這個地方來修改那我們已經跟那個軟體公會大概已經討論了半年多那我們現在很快的應該就會有新的軟體採購契約範本那就希望是轉向這種產品採購方向那有了這個
transcript.whisperx[19].start 465.042
transcript.whisperx[19].end 482.616
transcript.whisperx[19].text 企業範本以外那另外我們也鼓勵那個各家廠商盡量把他們的產品上到我們共同公共企業裡面這樣子的話就是由我們政府做起就是示範就是說我們在買軟體的時候我們應該多買product不要去開project可是我覺得這個是
transcript.whisperx[20].start 484.4
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transcript.whisperx[20].text 理想很崇高但現實真的很骨感因為我們很多資訊服務系統還是以project為主因為產品真的不好做它也不見得馬上能夠獲利所以一般像我們以前做軟體公司一定都是project再來養產品所以這是一個必經的過程這個也希望部長能夠理解整個我今天是貢獻我的
transcript.whisperx[21].start 509.212
transcript.whisperx[21].end 524.902
transcript.whisperx[21].text 二十幾年來在做這些不同產業的數位轉型跟AI的經驗如果就我的角度來看的話台灣整個AI的軟體的發展的戰略第一個我覺得是先要有個定位那這個定位我覺得是比較是屬於
transcript.whisperx[22].start 526.483
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transcript.whisperx[22].text 可信賴的AI的一個產品的定位當然最終我們檢驗它一定是可以輸出可以被驗證我們並不是要去做POC我們是要做一個Service那我為什麼會這樣子來看就是說整個台灣最劇烈的優勢一定是在我們的垂直領域
transcript.whisperx[23].start 550.244
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transcript.whisperx[23].text 尤其我們有強大的製造的模號我們的臨床的醫療全民健保在這一塊農業的話基本上是localization就是不可取代性因為他就有區域性的這些看保
transcript.whisperx[24].start 562.523
transcript.whisperx[24].end 580.254
transcript.whisperx[24].text 那從垂直領域的優勢去發展我們垂直領域的AI的產品這是上次我想要跟你討論的那當我們要支撐這個垂直領域的AI產品發展的時候那我水平的AI也不是百分之百的水平
transcript.whisperx[25].start 581.243
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transcript.whisperx[25].text 一定是為了支撐上面這個垂直領域的AI所要做的不管是在倫理、資安、檢驗甚至我的部署怎麼樣最有效率那這樣往下的時候我才會去算說那我這樣子我的資料的數據我的算力 對不對我的這樣子的一個整個這個基礎的建設我要花多少錢
transcript.whisperx[26].start 606.038
transcript.whisperx[26].end 628.208
transcript.whisperx[26].text 所以我們的一切是為了垂直的領域的優勢的發展所以我想部長應該也算是認同非常認同因為就在前一陣子我們跟金管會還有台灣16家大型的金融機構包含中信金等等我們才發表了一個計畫就是台灣金融大圓模型這個就是在一個垂直領域裡面
transcript.whisperx[27].start 629.268
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transcript.whisperx[27].text 我覺得台灣的金融我個人的意見我認為是優勢沒有前面的製造跟醫療要搶我是覺得因為我們的資源有限你可以去考慮我為什麼這樣子講再往下我們看一下就是說當我們在定一個國家的戰略的時候基本上一定會去看我的競爭國我這邊沒有把日本擺在不是說我瞧不起他
transcript.whisperx[28].start 656.209
transcript.whisperx[28].end 677.881
transcript.whisperx[28].text 可是他的戰略真的沒有韓國跟新加坡來得優秀韓國在未來這個未來AI實驗室的首席長何振宇他就去講我整個就是一個財團七棟國家的力量去走所以他的三部曲很清楚我透過26萬片加4萬片30萬片的GPU去訓練我的自己的主權的大語言的模型
transcript.whisperx[29].start 678.843
transcript.whisperx[29].end 693.249
transcript.whisperx[29].text 再來我全力去發展推論的晶片再來我才把這些的算力資料這些分配給了不管是國家實驗室不管是分配給SK分給現代分給NAVR去做這些商業的用途
transcript.whisperx[30].start 694.324
transcript.whisperx[30].end 716.878
transcript.whisperx[30].text 戰略清楚新加坡因為他人小也沒有什麼太多的domain know-how但他的法尊法規很強想辦法把全球人才吸引起來去做比較水平式的一個AI那我覺得台灣要勝出就一定是在垂直的領域所以我們怎麼樣子集全部的預算能量去支撐這個垂直領域的發展
transcript.whisperx[31].start 718.065
transcript.whisperx[31].end 734.172
transcript.whisperx[31].text 這個是我認為我們在做國家戰略的時候可以勝出的一個戰略的關鍵那往下那我覺得如果按照我剛剛這樣子的想法那我們在製造一個AI速發部一定會覺得說這件事情
transcript.whisperx[32].start 735.256
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transcript.whisperx[32].text 我們到底要怎麼做 因為我們常常說話不做的時候會怕踩到經濟部嘛因為製造業裡頭不管是我們的紡織 我們的工具機 我們的扣件我們的這一些的水五金 自行車零組件其實製造有很多的次領域每一個次領域所需要的製造領域知識的AI這些都不同
transcript.whisperx[33].start 756.482
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transcript.whisperx[33].text 那我們在做這件事情的時候就是說在資料分配場域可驗證的情況之下它是一個很好的發展的機會那下一個所以呢根據我過去這樣的經驗我覺得我們呢速發部要去跟經濟部配合經濟部可以去做這些產業的輔導不管是在製程、視覺、設備
transcript.whisperx[34].start 779.628
transcript.whisperx[34].end 802.74
transcript.whisperx[34].text 甚至包含尤其我們最難的供應鏈這些的預估交期的管理那這一塊裡頭的話我們速發部應該帶領軟體的廠商去做他們最強的軍火庫那這個東西是不是一定要外銷我倒認為不一定他可能是幫我們台灣製造業去做攻城掠地的一個最佳化的武器但是他的武器
transcript.whisperx[35].start 803.86
transcript.whisperx[35].end 813.306
transcript.whisperx[35].text 是來自於速發部你所領導的這些軟體跟支付的廠商來做這樣的事情那這樣子你的所有的您常常會講的嘛
transcript.whisperx[36].start 814.469
transcript.whisperx[36].end 841.947
transcript.whisperx[36].text 算力、人才、資料、行銷、資金那我們就是集中往這個地方去做那我們不要跟經濟部各做各的因為院長也在這邊就是跟經濟部配合不然有時候你會怕說我做多了會踩線但是你就做軍火庫嘛然後他去做製造業的consultant的一個服務我覺得這樣子會對台灣的製造業的升級跟轉型是很好的一件事情
transcript.whisperx[37].start 843.53
transcript.whisperx[37].end 861.264
transcript.whisperx[37].text 那下一個我想這邊都是一樣不管我們台灣的HIS的廠商那現在跟FIRE這些國際的標準對接那我們慢慢的就不要再做也不是不要再做啦就是說除了精準醫療視覺的這些辨識之外其實往在臨床醫療這裡頭的AI也這幾個
transcript.whisperx[38].start 864.215
transcript.whisperx[38].end 878.8
transcript.whisperx[38].text 所以抒發部只要去定出一個方向甚至我認為下一張最弱的叫農業我常常在審農業的智慧化的AI運算我真的是看得頭有點痛到處都是AI跟國防部的AI也是差不多
transcript.whisperx[39].start 879.758
transcript.whisperx[39].end 904.379
transcript.whisperx[39].text 然後你要問資料沒資料問模型沒模型問什麼要做什麼解決什麼問題都不知道我覺得速發部在這個地方應該要去扮演這些比較其他部會的system的architect系統的架構師幫他訂規格幫他訂資料幫他模型的規格然後怎麼去做驗收我覺得在你的這個速發部可以擔任這樣的角色然後把台灣的軟體產業帶進來
transcript.whisperx[40].start 905.82
transcript.whisperx[40].end 929.956
transcript.whisperx[40].text 是非常同意那個委員的想法那我們現在速發部有一個資料匯流隱私強化技術的計畫就是要幫各個部會去匯整這些資料然後匯整之後就可以訓練各個領域垂直領域的AI模型再下一張最後一張就是再往下一點點再往下好
transcript.whisperx[41].start 934.93
transcript.whisperx[41].end 938.598
transcript.whisperx[41].text 謝謝洪委員,謝謝卓院長,下一位請黃秀芳委員質詢