iVOD / 160003

Field Value
IVOD_ID 160003
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160003
日期 2025-04-09
會議資料.會議代碼 委員會-11-3-26-5
會議資料.會議代碼:str 第11屆第3會期社會福利及衛生環境委員會第5次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 5
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.委員會代碼:str[0] 社會福利及衛生環境委員會
會議資料.標題 第11屆第3會期社會福利及衛生環境委員會第5次全體委員會議
影片種類 Clip
開始時間 2025-04-09T12:54:03+08:00
結束時間 2025-04-09T13:03:35+08:00
影片長度 00:09:32
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/984603a5a250cdce1c0e5bccc9b1bcf3a9dd72f8e909e2235ac7c33fa4103456b0c18060a6df1b5f5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 廖先翔
委員發言時間 12:54:03 - 13:03:35
會議時間 2025-04-09T09:00:00+08:00
會議名稱 立法院第11屆第3會期社會福利及衛生環境委員會第5次全體委員會議(事由:邀請勞動部部長對於「勞動部所屬基金違規使用如何追回及究責」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 7.42221875
transcript.pyannote[0].end 10.62846875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 11.55659375
transcript.pyannote[1].end 12.04596875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 17.41221875
transcript.pyannote[2].end 21.36096875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 21.52971875
transcript.pyannote[3].end 35.38409375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 35.90721875
transcript.pyannote[4].end 40.02471875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 40.34534375
transcript.pyannote[5].end 43.93971875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 44.10846875
transcript.pyannote[6].end 47.53409375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 48.15846875
transcript.pyannote[7].end 50.40284375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 50.85846875
transcript.pyannote[8].end 57.16971875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 57.28784375
transcript.pyannote[9].end 60.37596875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 60.51096875
transcript.pyannote[10].end 63.83534375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 64.29096875
transcript.pyannote[11].end 66.36659375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 66.78846875
transcript.pyannote[12].end 70.60221875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 70.72034375
transcript.pyannote[13].end 72.62721875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 73.31909375
transcript.pyannote[14].end 74.87159375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 75.27659375
transcript.pyannote[15].end 76.03596875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 76.69409375
transcript.pyannote[16].end 77.92596875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 78.31409375
transcript.pyannote[17].end 81.80721875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 81.84096875
transcript.pyannote[18].end 83.12346875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 83.46096875
transcript.pyannote[19].end 84.94596875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 85.62096875
transcript.pyannote[20].end 86.56596875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 86.76846875
transcript.pyannote[21].end 90.00846875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 90.02534375
transcript.pyannote[22].end 90.34596875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 91.52721875
transcript.pyannote[23].end 112.95846875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 91.64534375
transcript.pyannote[24].end 94.66596875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 95.86409375
transcript.pyannote[25].end 96.85971875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 102.19221875
transcript.pyannote[26].end 102.81659375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 103.99784375
transcript.pyannote[27].end 104.52096875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 113.39721875
transcript.pyannote[28].end 114.20721875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 114.42659375
transcript.pyannote[29].end 116.14784375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 116.67096875
transcript.pyannote[30].end 130.28909375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 130.59284375
transcript.pyannote[31].end 147.67034375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 136.11096875
transcript.pyannote[32].end 137.32596875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 141.56159375
transcript.pyannote[33].end 142.79346875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 147.72096875
transcript.pyannote[34].end 169.45596875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 169.82721875
transcript.pyannote[35].end 173.53971875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 173.74221875
transcript.pyannote[36].end 174.92346875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 175.32846875
transcript.pyannote[37].end 176.22284375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 176.29034375
transcript.pyannote[38].end 184.08659375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 184.39034375
transcript.pyannote[39].end 197.48534375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 197.90721875
transcript.pyannote[40].end 205.65284375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 205.97346875
transcript.pyannote[41].end 206.66534375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 207.15471875
transcript.pyannote[42].end 208.55534375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 209.11221875
transcript.pyannote[43].end 210.85034375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 211.28909375
transcript.pyannote[44].end 220.63784375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 220.89096875
transcript.pyannote[45].end 230.23971875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 221.22846875
transcript.pyannote[46].end 221.85284375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 231.28596875
transcript.pyannote[47].end 235.23471875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 236.36534375
transcript.pyannote[48].end 249.81471875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 238.77846875
transcript.pyannote[49].end 239.94284375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 240.88784375
transcript.pyannote[50].end 242.10284375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 244.31346875
transcript.pyannote[51].end 244.78596875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 250.50659375
transcript.pyannote[52].end 251.58659375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 251.77221875
transcript.pyannote[53].end 257.84721875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 258.43784375
transcript.pyannote[54].end 267.80346875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 259.02846875
transcript.pyannote[55].end 259.87221875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 268.02284375
transcript.pyannote[56].end 269.32221875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 269.81159375
transcript.pyannote[57].end 279.97034375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 270.41909375
transcript.pyannote[58].end 270.50346875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 271.31346875
transcript.pyannote[59].end 272.54534375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 275.07659375
transcript.pyannote[60].end 275.34659375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 280.42596875
transcript.pyannote[61].end 286.45034375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 284.32409375
transcript.pyannote[62].end 285.15096875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 287.05784375
transcript.pyannote[63].end 289.72409375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 290.23034375
transcript.pyannote[64].end 291.10784375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 291.47909375
transcript.pyannote[65].end 296.20409375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 297.04784375
transcript.pyannote[66].end 298.06034375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 299.00534375
transcript.pyannote[67].end 302.56596875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 300.03471875
transcript.pyannote[68].end 300.32159375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 302.95409375
transcript.pyannote[69].end 304.55721875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 304.77659375
transcript.pyannote[70].end 319.69409375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 307.76346875
transcript.pyannote[71].end 315.42471875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 321.29721875
transcript.pyannote[72].end 321.95534375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 322.49534375
transcript.pyannote[73].end 323.50784375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 324.11534375
transcript.pyannote[74].end 325.34721875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 325.88721875
transcript.pyannote[75].end 330.94971875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 331.50659375
transcript.pyannote[76].end 341.31096875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 337.44659375
transcript.pyannote[77].end 337.78409375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 338.67846875
transcript.pyannote[78].end 341.19284375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 342.40784375
transcript.pyannote[79].end 348.21284375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 342.44159375
transcript.pyannote[80].end 346.89659375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 348.34784375
transcript.pyannote[81].end 352.60034375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 353.22471875
transcript.pyannote[82].end 356.24534375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 356.92034375
transcript.pyannote[83].end 358.69221875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 358.92846875
transcript.pyannote[84].end 380.73096875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 385.57409375
transcript.pyannote[85].end 389.80971875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 390.45096875
transcript.pyannote[86].end 391.39596875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 391.83471875
transcript.pyannote[87].end 394.09596875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 394.45034375
transcript.pyannote[88].end 394.66971875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 395.29409375
transcript.pyannote[89].end 395.46284375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 396.10409375
transcript.pyannote[90].end 400.96409375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 401.14971875
transcript.pyannote[91].end 402.17909375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 402.21284375
transcript.pyannote[92].end 403.64721875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 404.06909375
transcript.pyannote[93].end 408.40596875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 408.94596875
transcript.pyannote[94].end 411.49409375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 411.61221875
transcript.pyannote[95].end 417.94034375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 418.34534375
transcript.pyannote[96].end 419.08784375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 419.29034375
transcript.pyannote[97].end 422.59784375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 422.81721875
transcript.pyannote[98].end 423.32346875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 423.55971875
transcript.pyannote[99].end 427.87971875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 428.20034375
transcript.pyannote[100].end 428.57159375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 429.24659375
transcript.pyannote[101].end 430.95096875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 430.98471875
transcript.pyannote[102].end 433.73534375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 434.05596875
transcript.pyannote[103].end 435.97971875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 436.35096875
transcript.pyannote[104].end 437.83596875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 438.71346875
transcript.pyannote[105].end 443.45534375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 443.80971875
transcript.pyannote[106].end 447.52221875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 447.79221875
transcript.pyannote[107].end 447.80909375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 447.80909375
transcript.pyannote[108].end 454.76159375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 455.03159375
transcript.pyannote[109].end 455.55471875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 455.63909375
transcript.pyannote[110].end 457.41096875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 457.76534375
transcript.pyannote[111].end 459.75659375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 460.71846875
transcript.pyannote[112].end 467.95784375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 468.22784375
transcript.pyannote[113].end 468.39659375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 468.43034375
transcript.pyannote[114].end 468.73409375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 469.05471875
transcript.pyannote[115].end 471.45096875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 471.87284375
transcript.pyannote[116].end 474.60659375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 474.94409375
transcript.pyannote[117].end 476.20971875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 477.12096875
transcript.pyannote[118].end 477.13784375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 477.13784375
transcript.pyannote[119].end 477.17159375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 477.17159375
transcript.pyannote[120].end 477.44159375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 477.44159375
transcript.pyannote[121].end 483.02721875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 477.93096875
transcript.pyannote[122].end 478.31909375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 483.31409375
transcript.pyannote[123].end 484.32659375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 484.52909375
transcript.pyannote[124].end 484.54596875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 484.54596875
transcript.pyannote[125].end 484.63034375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 484.63034375
transcript.pyannote[126].end 485.06909375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 485.06909375
transcript.pyannote[127].end 498.19784375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 497.25284375
transcript.pyannote[128].end 499.34534375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 498.67034375
transcript.pyannote[129].end 511.51221875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 511.51221875
transcript.pyannote[130].end 516.11909375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 514.71846875
transcript.pyannote[131].end 516.23721875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 516.49034375
transcript.pyannote[132].end 518.80221875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 516.70971875
transcript.pyannote[133].end 519.29159375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 519.91596875
transcript.pyannote[134].end 527.34096875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 523.81409375
transcript.pyannote[135].end 534.51284375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 527.37471875
transcript.pyannote[136].end 527.39159375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 534.76596875
transcript.pyannote[137].end 547.96221875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 536.94284375
transcript.pyannote[138].end 537.93846875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 539.79471875
transcript.pyannote[139].end 540.82409375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 547.21971875
transcript.pyannote[140].end 549.71721875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 549.90284375
transcript.pyannote[141].end 556.23096875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 556.56846875
transcript.pyannote[142].end 566.92971875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 564.34784375
transcript.pyannote[143].end 570.22034375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 568.81971875
transcript.pyannote[144].end 569.84909375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 570.89534375
transcript.pyannote[145].end 571.68846875
transcript.whisperx[0].start 7.432
transcript.whisperx[0].end 11.974
transcript.whisperx[0].text 謝謝主秀 也要邀請我們的部長 洪部長好 部長好 您的就任就是在處理一些您就任前之前發生的一些爭端就是社會的一些爭議性的一些東西那當然您一上任的時候那您就宣示我們直面爭議 絕無袒護當初我們的宣示是這樣嗎
transcript.whisperx[1].start 36.002
transcript.whisperx[1].end 61.559
transcript.whisperx[1].text 是 是嘛 應該沒有抹黑你還是誇大反正就是面對問題 解決事情啦但是我今天看了我們的報告就是交給委員會的報告那 審計部有審計部的報告那我們這個勞動部有我們勞動部的報告啦但我感覺在我們報告的部分就有些逼中就輕了啦包括我們審計部的報告裡面很明確就有提到當初社會議題討論最大的那一場演唱會
transcript.whisperx[2].start 64.341
transcript.whisperx[2].end 90.218
transcript.whisperx[2].text 我們審計部在專報裡面有提出來它是使用不當的至少是使用不當 有沒有違法不知道 使用不當但是在我們勞動部的專報裡面我們在檢討這件事情的時候卻沒有看到這一件事情我想確認一下這件事情是我們的同仁一開始就沒有寫上去嗎還是部長有要求這個演唱會不要寫到報告裡面不是 這個關於那個音樂會基本上就是在那七千多萬裡面喔對啊
transcript.whisperx[3].start 91.77
transcript.whisperx[3].end 115.91
transcript.whisperx[3].text 那你們寫的一些 從一開始到後來都在七千多萬裡面所以對 我知道我知道就是你們七千萬裡面有很多項目嘛其實全部這個成績簿給的也不只這些啦它有很多項目嘛那我們都挑一些重點上來就是社會關心的項目嘛對不對那包括影片製作等等的你們都如實羅列了就大眾最關心的演唱會你們好像就不敢寫上去不是不敢
transcript.whisperx[4].start 116.73
transcript.whisperx[4].end 144.864
transcript.whisperx[4].text 我們就沒什麼好不管這是大家都關心的事情沒關係今天整天早上大家都在討論這件事情所以這只是做一些摘要的列舉我們也沒有迴避在這個音樂會上面辦理的事情這個音樂會辦理的檢討我們也做了所以這這個只是好沒關係那這只是一個列舉同仁本來就沒寫進來嗎部長沒有寫進來我也沒有要怪給同仁但是我的只是很簡單因為這些所有的項目就是以審計部給我們因為我們有時候在看一份報告的時候我們可能就從裡面
transcript.whisperx[5].start 145.564
transcript.whisperx[5].end 164.463
transcript.whisperx[5].text 我們願意成立的一個項目來看我們勞動部願意檢討到底有沒有真心願意來檢討我們可能就從裡面書面資料先來看一個部分嘛那另外我想跟部長確認一下就是可能我不知道你前面有沒有提到我之前有新聞有提到說就是這個報告出來了嘛這個審計部的報告出來了那我們部長是說
transcript.whisperx[6].start 165.884
transcript.whisperx[6].end 192.637
transcript.whisperx[6].text 會用公務預算去補嗎所以我想跟部長確認一下會不會你會不會有一毛錢是要跟許明春或者是謝宜龍來求償的會不會有一毛錢我跟廖遠說明現在大家都很關心決策者的責任是那勞動部會配合檢調跟司法的結果來去做追究檢調他們可能就是刑事嘛這當然尊重啊但是我們內部的行政作業
transcript.whisperx[7].start 193.297
transcript.whisperx[7].end 206.591
transcript.whisperx[7].text 既然我們的審計部已經要求我們追回了追回就有兩種方式嘛對不對一種就是部長講的嘛就是隔年度的公務預算去補回來另外一種追回的方式是跟失職的公職人員去求償這兩種方式應該沒錯吧
transcript.whisperx[8].start 209.153
transcript.whisperx[8].end 234.704
transcript.whisperx[8].text 跟六人說明保安部是一個行政單位我們如果要來跟個人追討的話也需要有法律上的依據是這法律上的依據比方說有司法的判決或者比方說如果有判定是要剔除這些是法律上面的依據但我們就有責任要去追回但是我今天要跟任何一個人追回我都要有法律上面的依據
transcript.whisperx[9].start 236.414
transcript.whisperx[9].end 249.595
transcript.whisperx[9].text 目前的法律依據就是審計不有所以如果後續檢調的辦理行事歸行事嘛我們行政歸行政啊你求償是民事吧如果今天檢調判定是有不要欽讚
transcript.whisperx[10].start 250.543
transcript.whisperx[10].end 265.452
transcript.whisperx[10].text 那我們該追回啊那使用不當嘛你認為這個使用不當是機關的責任還是決策者的責任嘛就你這邊他不一定有刑事責任他不一定有刑事責任我認同啊跟廖仁說明我們現在就是必須依照我們現在就是依照審計的審計結果跟相關的規範來判來後續的執行
transcript.whisperx[11].start 272.475
transcript.whisperx[11].end 295.74
transcript.whisperx[11].text 所以你們有兩步路可以走嘛兩個方向可以走嘛所以你們現在就是選擇走用公屋預算來補你們目前沒有要對這個許民村以及謝宜龍追場嗎追回目前沒有嗎待會你這樣講有點簡化現在檢調跟司法都在偵辦中我們會來配合檢調跟司法的偵辦如果在檢調司法的結果出來這個結果出來
transcript.whisperx[12].start 299.199
transcript.whisperx[12].end 310.146
transcript.whisperx[12].text 該怎麼追我們就怎麼追部長 如果說什麼東西都推給檢調的話那審計部也不用出報告了啦您的部長上任也不用宣誓了啦這不是推給司法我們要跟個人的追討是要有法律上面的依據
transcript.whisperx[13].start 321.685
transcript.whisperx[13].end 339.677
transcript.whisperx[13].text 審計部 請你們追回你們就有法令依據就使用不當 你有兩條路走你選擇用公務預算來補而不是向個人來求助廖仁 審計部的報告很清楚它是寫修正簡列追回好啦 部長修正簡列追回不要 審計部的報告是寫修正簡列追回
transcript.whisperx[14].start 342.455
transcript.whisperx[14].end 356.088
transcript.whisperx[14].text 就是我們一上任講得很好聽啦好不好 我不希望我們常就是上任的時候宣誓的講得很好聽啦結果啊 我們的有一句台語啦 一句閩南語啦 叫做講到一本機啦做不一通期啦
transcript.whisperx[15].start 359.151
transcript.whisperx[15].end 378.205
transcript.whisperx[15].text 常常會有這樣的說法啦我希望就是我們說什麼當初給社會的期待是什麼以上那個給大家的期待是什麼我們後續就依據大家的期待來做我們從一開始就是說我們尊重審計的結果我們會依照審計的結果來去做相關的辦理這個立場從一開始從12月到現在都沒有改變好 沒關係 部長 謝謝再給我一點時間我請我們的副審計長
transcript.whisperx[16].start 385.675
transcript.whisperx[16].end 413.826
transcript.whisperx[16].text 副審計長 幾秒鐘的影片看一下這個去年時運審計長的這個影片對 追回的對象我那時候很明確的就問審計長我們那時候應該就確定會追回了我一直跟他追的是追回的對象我們會不會很明確的寫但是很遺憾我們這次審計報告沒有寫追回的對象是誰那剛剛依照我們的洪部長回應目前他現在的
transcript.whisperx[17].start 415.327
transcript.whisperx[17].end 421.153
transcript.whisperx[17].text 這個手上他可能自己的判斷他在等這個檢調單位的這個調查嘛所以說我們目前的方向是由公務機關來這個編列預算來彌補這個追回的一個問題嘛那剛剛就我們這個沈議長講的要去釐清這個對象如果說我們的勞動部是用公務預算來補的話那你們願意替他背書嗎
transcript.whisperx[18].start 439.381
transcript.whisperx[18].end 459.395
transcript.whisperx[18].text 這個跟委員報告這個沒有背書的問題啦就是目前我們是修正就業安利基金的決算省計長說看責任在誰嘛對不對責任在誰那現在部長他認為應該是用公務預算來補就好了嗎那你們就認同他這樣的做法嗎我當初很明確的就是要問
transcript.whisperx[19].start 460.805
transcript.whisperx[19].end 475.704
transcript.whisperx[19].text 許明春跟這個謝宜龍有沒有這個責任嘛責任會不會是在他們要不要跟他們追回當初那一場你應該也有在聽啦那沈記長很明確就是說看責任在誰看責任在誰就跟誰追回我的理解是這樣子吧
transcript.whisperx[20].start 477.688
transcript.whisperx[20].end 498.161
transcript.whisperx[20].text 沒錯 至少現在勞動部不認為責任在謝宜榮跟許銘春嘛我不方便幫勞動部答覆但是審計部能做的第一個司法部分我們移送檢調那這個要等他最終的判決司法規司法規不討論這個個人報告一定
transcript.whisperx[21].start 501.583
transcript.whisperx[21].end 518.217
transcript.whisperx[21].text 司法他如果是因為這樣個人的行為除了觸犯刑法以外他還造成公帑損失這個我們要追究財務責任啊造成刑法跟造成公帑損失兩個不一定有這一個問題嘛這個因為我們審計部一個是刑事責任一個是刑事責任我們審計部
transcript.whisperx[22].start 520.234
transcript.whisperx[22].end 527.138
transcript.whisperx[22].text 並沒有司法調查權所以我們沒辦法去釐清相關的對待關係沒關係 我客觀的講就是針對勞工部目前打算用這個公務預算來補這個要追回的錢我們審計部是沒有意見的沒有 這個是要尊重他們行政機關就尊重沒有意見嘛沒有 不是沒意見這個預算的籌編是行政院的責任是部會責任 不是審計部啦審計部是監督預算執行我們能做的不是你的責任就沒意見嘛
transcript.whisperx[23].start 550.152
transcript.whisperx[23].end 569.311
transcript.whisperx[23].text 不是 不是 我們有我們自己的獨立的審計立場我們發現 包括剛剛廖委員很關心可能有特定的首長他要負責任這個部分我們都移送到監察院這個監察院他會有他的處理好 沒關係 以上我只是想藉由今天的質詢來瞭解一下各個機關的立場而已 好不好好 謝謝 廖委員 謝謝謝謝部長