iVOD / 169909

Field Value
IVOD_ID 169909
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/169909
日期 2026-06-10
影片種類 Clip
開始時間 2026-06-10T10:05:15+08:00
結束時間 2026-06-10T10:11:54+08:00
影片長度 00:06:39
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/dee24285c0428ea5928121b22e145ebdac15c94a064fa496ffedc3c96f086d4671115e0c3c9f18cf5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 洪孟楷
委員發言時間 10:05:15 - 10:11:54
會議時間 2026-06-10T09:00:00+08:00
會議名稱 1.沈被提名人淑妃-立法院第11屆第5會期內政、司法及法制委員會第1次聯席會議(事由:審查行政院函送中央選舉委員會委員提名名單,沈淑妃為委員並為副主任委員,蔡維哲及黃謀信均為委員,請同意案。【依序分別審查沈被提名人淑妃、蔡被提名人維哲、黃被提名人謀信】【6月10日、11日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.60034375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 7.30409375
transcript.pyannote[1].end 7.50659375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 8.83971875
transcript.pyannote[2].end 9.48096875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 9.07596875
transcript.pyannote[3].end 26.06909375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 10.39221875
transcript.pyannote[4].end 11.01659375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 11.52284375
transcript.pyannote[5].end 12.83909375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 26.08596875
transcript.pyannote[6].end 26.11971875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 26.30534375
transcript.pyannote[7].end 29.62971875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 30.64221875
transcript.pyannote[8].end 60.35909375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 60.52784375
transcript.pyannote[9].end 62.09721875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 63.05909375
transcript.pyannote[10].end 64.59471875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 64.71284375
transcript.pyannote[11].end 65.86034375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 66.07971875
transcript.pyannote[12].end 66.82221875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 67.27784375
transcript.pyannote[13].end 71.20971875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 70.87221875
transcript.pyannote[14].end 79.27596875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 79.76534375
transcript.pyannote[15].end 80.37284375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 80.57534375
transcript.pyannote[16].end 91.54409375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 84.79409375
transcript.pyannote[17].end 85.18221875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 91.42596875
transcript.pyannote[18].end 105.44909375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 93.23159375
transcript.pyannote[19].end 94.61534375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 105.66846875
transcript.pyannote[20].end 106.39409375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 107.03534375
transcript.pyannote[21].end 110.84909375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 110.34284375
transcript.pyannote[22].end 115.72596875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 115.94534375
transcript.pyannote[23].end 117.53159375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 116.24909375
transcript.pyannote[24].end 116.65409375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 117.07596875
transcript.pyannote[25].end 123.37034375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 123.45471875
transcript.pyannote[26].end 126.57659375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 126.96471875
transcript.pyannote[27].end 130.18784375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 130.35659375
transcript.pyannote[28].end 132.01034375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 130.37346875
transcript.pyannote[29].end 131.03159375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 132.44909375
transcript.pyannote[30].end 135.19971875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 135.19971875
transcript.pyannote[31].end 142.86096875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 140.07659375
transcript.pyannote[32].end 140.09346875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 142.91159375
transcript.pyannote[33].end 143.01284375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 143.01284375
transcript.pyannote[34].end 143.19846875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 143.19846875
transcript.pyannote[35].end 144.68346875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 143.24909375
transcript.pyannote[36].end 143.53596875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 145.12221875
transcript.pyannote[37].end 145.51034375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 146.23596875
transcript.pyannote[38].end 146.94471875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 147.24846875
transcript.pyannote[39].end 150.62346875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 151.11284375
transcript.pyannote[40].end 151.55159375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 151.78784375
transcript.pyannote[41].end 152.24346875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 152.88471875
transcript.pyannote[42].end 157.35659375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 157.99784375
transcript.pyannote[43].end 166.99221875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 167.36346875
transcript.pyannote[44].end 189.03096875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 189.21659375
transcript.pyannote[45].end 190.75221875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 189.65534375
transcript.pyannote[46].end 190.81971875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 190.97159375
transcript.pyannote[47].end 191.39346875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 191.41034375
transcript.pyannote[48].end 193.46909375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 193.57034375
transcript.pyannote[49].end 195.30846875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 195.64596875
transcript.pyannote[50].end 195.74721875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 195.91596875
transcript.pyannote[51].end 199.61159375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 199.94909375
transcript.pyannote[52].end 200.74221875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 201.21471875
transcript.pyannote[53].end 203.12159375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 203.15534375
transcript.pyannote[54].end 204.53909375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 205.12971875
transcript.pyannote[55].end 207.57659375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 207.93096875
transcript.pyannote[56].end 210.17534375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 210.96846875
transcript.pyannote[57].end 214.34346875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 214.30971875
transcript.pyannote[58].end 219.70971875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 220.67159375
transcript.pyannote[59].end 223.82721875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 223.23659375
transcript.pyannote[60].end 228.97409375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 230.17221875
transcript.pyannote[61].end 237.17534375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 233.41221875
transcript.pyannote[62].end 234.27284375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 235.92659375
transcript.pyannote[63].end 238.35659375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 238.60971875
transcript.pyannote[64].end 238.77846875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 239.28471875
transcript.pyannote[65].end 242.00159375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 239.30159375
transcript.pyannote[66].end 239.90909375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 242.67659375
transcript.pyannote[67].end 248.63346875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 248.97096875
transcript.pyannote[68].end 249.42659375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 249.74721875
transcript.pyannote[69].end 250.43909375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 250.59096875
transcript.pyannote[70].end 253.03784375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 253.76346875
transcript.pyannote[71].end 256.42971875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 257.30721875
transcript.pyannote[72].end 261.12096875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 261.74534375
transcript.pyannote[73].end 266.84159375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 267.49971875
transcript.pyannote[74].end 271.29659375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 271.63409375
transcript.pyannote[75].end 278.68784375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 279.22784375
transcript.pyannote[76].end 279.68346875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 279.95346875
transcript.pyannote[77].end 280.98284375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 281.30346875
transcript.pyannote[78].end 282.01221875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 282.58596875
transcript.pyannote[79].end 284.52659375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 284.72909375
transcript.pyannote[80].end 287.29409375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 287.58096875
transcript.pyannote[81].end 298.21221875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 298.41471875
transcript.pyannote[82].end 298.68471875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 298.63409375
transcript.pyannote[83].end 300.35534375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 300.94596875
transcript.pyannote[84].end 302.07659375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 302.22846875
transcript.pyannote[85].end 303.05534375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 303.05534375
transcript.pyannote[86].end 303.46034375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 303.62909375
transcript.pyannote[87].end 319.96409375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 320.40284375
transcript.pyannote[88].end 327.70971875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 328.28346875
transcript.pyannote[89].end 329.48159375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 329.71784375
transcript.pyannote[90].end 333.49784375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 334.64534375
transcript.pyannote[91].end 343.13346875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 343.38659375
transcript.pyannote[92].end 368.95221875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 369.30659375
transcript.pyannote[93].end 369.44159375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 369.52596875
transcript.pyannote[94].end 370.62284375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 371.17971875
transcript.pyannote[95].end 371.71971875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 372.19221875
transcript.pyannote[96].end 373.03596875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 373.32284375
transcript.pyannote[97].end 375.31409375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 375.71909375
transcript.pyannote[98].end 376.29284375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 376.52909375
transcript.pyannote[99].end 381.54096875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 381.94596875
transcript.pyannote[100].end 387.70034375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 388.37534375
transcript.pyannote[101].end 389.08409375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 389.48909375
transcript.pyannote[102].end 389.96159375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 390.73784375
transcript.pyannote[103].end 392.27346875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 392.67846875
transcript.pyannote[104].end 398.75346875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 398.23034375
transcript.pyannote[105].end 399.44534375
transcript.whisperx[0].start 0.029
transcript.whisperx[0].end 0.109
transcript.whisperx[0].text 從夢開為言詢答
transcript.whisperx[1].start 9.088
transcript.whisperx[1].end 28.636
transcript.whisperx[1].text 好 被提名人已經站在這個備詢台上了來 被提名人我想對國家提名都是一種榮耀也是一種光榮當然人事的部分立法院一定會務實的來去審視您的答詢來做最後的一個投票來決定我們對於有能力的人絕對不會
transcript.whisperx[2].start 30.677
transcript.whisperx[2].end 56.028
transcript.whisperx[2].text 不讓他擔任我們國家的職務但是如果說不適任的人我們也沒有辦法放水我想這對事不對人先跟被提名人來說說明不過被提名人剛剛我覺得因為你是行政官員也因此我必須要很務實也直接針對你剛剛的答詢裡面點出來我們不要說被媒體或者說現在這個執政黨的官員好像把違憲違憲掛在嘴巴上
transcript.whisperx[3].start 56.468
transcript.whisperx[3].end 79.838
transcript.whisperx[3].text 然後就變成是說違憲就是直接行政機關認定我想先請教一下違憲以法治國家來講違不違憲誰來認定當然最終還是要憲法法庭來做認定憲法法庭認定嘛也因此在憲法法庭還沒有認定之前中選會可以先講是說這個東西可能有違憲這個東西可能沒違憲然後就去做判斷嗎
transcript.whisperx[4].start 80.598
transcript.whisperx[4].end 102.243
transcript.whisperx[4].text 跟委員報告因為所有行政機關在受理申請案或做相關案件的審查本來就應該本於依法行政還有對自己對法律的就是依法行政啊所以說本行現在強調的地方在於是說不管是我們中選會組織法或是相關法令有沒有給予我們中選會權責職責能夠判定違憲與否
transcript.whisperx[5].start 107.696
transcript.whisperx[5].end 129.407
transcript.whisperx[5].text 因為依照公民投票法規定中華民國法治我們法治國家嘛誰來判定違憲是大法官嘛最終是沒有錯最終不管講不講最終其實也就只有一個機關能夠審查就是憲法法庭就是大法官不是中選會不是任何的所以任何案件都要提起大法官做釋憲
transcript.whisperx[6].start 130.427
transcript.whisperx[6].end 141.295
transcript.whisperx[6].text 但是機關在審查的時候還是要先做出判斷所以誰給機關這樣的判斷認為是說這段違憲然後他就可以不再進行其實這就是我們剛剛強調的就是說公投有
transcript.whisperx[7].start 146.298
transcript.whisperx[7].end 166.66
transcript.whisperx[7].text 三個目的其中一個很重大的目的是重大政策的創製嘛對不對就是說我們提出任何一個公投案提出來之後它並不是法律條文公投案通過與否是人民對於說法令的方向希望是說能夠有重大政策的創製譬如說去年我們有河山業役公投
transcript.whisperx[8].start 167.661
transcript.whisperx[8].end 188.672
transcript.whisperx[8].text 並不是說通過之後馬上核三就可以研議而是人民認為是說如果在安全無約情況下符合法規的情況下能夠運轉持續運轉這是人民表達意見人民表達意見與否如果說公投真的確定之後再由相關部門不管是行政部門或立法部門來針對相關法律來做修法嘛是不是這樣子
transcript.whisperx[9].start 189.973
transcript.whisperx[9].end 210.026
transcript.whisperx[9].text 那一樣的道理我就直接講因為本席有提出邊行打擊詐騙公投啊但請教一下被提名人有沒有看過本席所提出來的公投題目的版本有大約了解你能不能描述一下本席的這個題目有沒有涉及任何的法令條文
transcript.whisperx[10].start 211.93
transcript.whisperx[10].end 238.14
transcript.whisperx[10].text 當然所提出來的是一個本席的這個公投主文是一個重大政策的一個方向還是一個法律條文應該是個重大政策的方向重大政策方向嘛那能不能讓人民用重大政策創制來實行公投這個可能要再看這個公投的內容而定啦對 因為貴庭民人 妳這樣是自我矛盾耶
transcript.whisperx[11].start 240.41
transcript.whisperx[11].end 266.643
transcript.whisperx[11].text 來本席再一次提醒很多人也講就是說為什麼我們不直接修法因為本席要補足程序正義第一台灣中華民國我們目前是沒有身體刑很多人有表達不同的立場我都尊重但是如果說人民真的認為是說中華民國真的現在犯罪猖獗那真的有增加身體刑的必要性
transcript.whisperx[12].start 267.537
transcript.whisperx[12].end 281.676
transcript.whisperx[12].text 那透過重大政策的創制完畢之後立法院行政院還是要負起相關責任去修相關的法令避免過於腐爛或是避免造成
transcript.whisperx[13].start 282.937
transcript.whisperx[13].end 297.89
transcript.whisperx[13].text 後續的一個措置處罰所以這個是行政部門跟立法部門的責任絕對不是交給人民但是人民有什麼決定人民的權利在於是說如果他認為台灣有需要重大政策創置的時候應該能夠來做一個公投的表達
transcript.whisperx[14].start 298.67
transcript.whisperx[14].end 327.497
transcript.whisperx[14].text 我想這是直接民意的展示貝婷媛應該不否認吧不否認好所以我們其實有蠻大的共識我甚至有聽過法律學者法律專家跟我講說他支持本席的版本能夠做重大政策的創制複決也因此創制的部分他支持法學界的大佬他支持本席提出邊行打詐公投能夠來公投交由全民來直接民意決定但是他個人
transcript.whisperx[15].start 328.317
transcript.whisperx[15].end 353.631
transcript.whisperx[15].text 他可能會投反對票為什麼因為站在他過去的法學素養來講他覺得這跟他的過去的這個理解他是相對違背可是他支持應該要讓人民來決定直接民意來表達所以其實某種程度上公投題目真的出來之後應該是受全民的檢驗應該受直接民意的檢驗而中選會在這個過程裡面扮演一個很重要的角色什麼角色
transcript.whisperx[16].start 354.191
transcript.whisperx[16].end 370.548
transcript.whisperx[16].text 並不是否決公投而是讓公投能夠順利的進行選務能夠順利的進行台灣兩千三百五十萬人能夠勇於表達自己的主張立場讓這個公投題目真真正正代表職階民意的展現一平年應該不反對吧
transcript.whisperx[17].start 372.549
transcript.whisperx[17].end 398.236
transcript.whisperx[17].text 不反對好 謝謝貝提敏人所以我希望未來如果你真的有機會當為國家服務為人民服務的時候今天的答詢也變成是未來你在執行職務的時候的一個唯一立場因為以法論法不要因人設事因案設事我想這才是我們對於中選會任何委員的期待以上 謝謝