iVOD / 168650

Field Value
IVOD_ID 168650
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168650
日期 2026-04-21
會議資料.會議代碼 院會-11-5-7
會議資料.會議代碼:str 第11屆第5會期第7次會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 7
會議資料.種類 院會
會議資料.標題 第11屆第5會期第7次會議
影片種類 Clip
開始時間 2026-04-21T11:33:59+08:00
結束時間 2026-04-21T11:49:24+08:00
影片長度 00:15:25
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/a5162d46ac0a8089cade4fa6ab144d530b71058f854e4ac4f69ceef3626fd72e642409915d7b18685ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 楊瓊瓔
委員發言時間 11:33:59 - 11:49:24
會議時間 2026-04-21T09:00:00+08:00
會議名稱 第11屆第5會期第7次會議(事由:一、討論事項:本院國民黨黨團,建請院會作成決議:「針對開放印度移工來台,國人深感憂心,要求行政院院長率相關部會首長向立法院提出『開放印度移工來台對我國整體勞工政策與社會治安的衝擊及相關配套(含強化國與國直聘制度及失聯移工強制遣返機制)防治作為』專案報告,並備質詢。」是否有當?請公決案等4案。(4月17日)二、對行政院院長提出施政方針及施政報告繼續質詢。(4月17日)三、邀請行政院院長、主計長、財政部部長列席報告「115年度中央政府總預算案」編製經過並備質詢(含志願役軍人加薪及警消人員退休金等預算編製處理情形併予報告)。(4月21日)四、4月17日上午9時至10時為國是論壇時間。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 9.31221875
transcript.pyannote[0].end 12.09659375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 12.55221875
transcript.pyannote[1].end 15.31971875
transcript.pyannote[2].speaker SPEAKER_05
transcript.pyannote[2].start 15.74159375
transcript.pyannote[2].end 17.02409375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 15.75846875
transcript.pyannote[3].end 16.99034375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 17.02409375
transcript.pyannote[4].end 17.05784375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 17.34471875
transcript.pyannote[5].end 18.40784375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 19.33596875
transcript.pyannote[6].end 21.44534375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 22.12034375
transcript.pyannote[7].end 23.45346875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 28.93784375
transcript.pyannote[8].end 29.51159375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 29.84909375
transcript.pyannote[9].end 29.86596875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 29.86596875
transcript.pyannote[10].end 61.55721875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 61.89471875
transcript.pyannote[11].end 64.18971875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 64.59471875
transcript.pyannote[12].end 75.15846875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 75.27659375
transcript.pyannote[13].end 76.60971875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 75.83346875
transcript.pyannote[14].end 77.33534375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 76.93034375
transcript.pyannote[15].end 85.31721875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 85.45221875
transcript.pyannote[16].end 90.75096875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 91.00409375
transcript.pyannote[17].end 94.26096875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 94.36221875
transcript.pyannote[18].end 95.47596875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 95.93159375
transcript.pyannote[19].end 102.39471875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 103.15409375
transcript.pyannote[20].end 111.25409375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 111.60846875
transcript.pyannote[21].end 122.93159375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 123.30284375
transcript.pyannote[22].end 128.09534375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 128.44971875
transcript.pyannote[23].end 131.35221875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 132.01034375
transcript.pyannote[24].end 147.67034375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 148.15971875
transcript.pyannote[25].end 152.64846875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 152.83409375
transcript.pyannote[26].end 156.17534375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 156.46221875
transcript.pyannote[27].end 162.41909375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 162.90846875
transcript.pyannote[28].end 166.09784375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 166.30034375
transcript.pyannote[29].end 176.56034375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 177.08346875
transcript.pyannote[30].end 178.82159375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 179.24346875
transcript.pyannote[31].end 182.38221875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 182.65221875
transcript.pyannote[32].end 205.82159375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 206.31096875
transcript.pyannote[33].end 211.59284375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 212.20034375
transcript.pyannote[34].end 215.23784375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 215.76096875
transcript.pyannote[35].end 218.47784375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 218.84909375
transcript.pyannote[36].end 221.88659375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 222.69659375
transcript.pyannote[37].end 225.16034375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 224.29971875
transcript.pyannote[38].end 230.54346875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 228.04596875
transcript.pyannote[39].end 228.65346875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 229.59846875
transcript.pyannote[40].end 234.47534375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 234.89721875
transcript.pyannote[41].end 238.03596875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 238.32284375
transcript.pyannote[42].end 240.85409375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 241.27596875
transcript.pyannote[43].end 243.23346875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 243.75659375
transcript.pyannote[44].end 249.02159375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 249.35909375
transcript.pyannote[45].end 261.00284375
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 253.64534375
transcript.pyannote[46].end 253.66221875
transcript.pyannote[47].speaker SPEAKER_05
transcript.pyannote[47].start 253.66221875
transcript.pyannote[47].end 253.78034375
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 253.78034375
transcript.pyannote[48].end 253.93221875
transcript.pyannote[49].speaker SPEAKER_05
transcript.pyannote[49].start 253.93221875
transcript.pyannote[49].end 253.96596875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 261.23909375
transcript.pyannote[50].end 261.67784375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 261.93096875
transcript.pyannote[51].end 261.94784375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 261.94784375
transcript.pyannote[52].end 262.48784375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 261.99846875
transcript.pyannote[53].end 263.31471875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 263.65221875
transcript.pyannote[54].end 265.96409375
transcript.pyannote[55].speaker SPEAKER_04
transcript.pyannote[55].start 265.96409375
transcript.pyannote[55].end 285.80909375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 284.91471875
transcript.pyannote[56].end 289.31909375
transcript.pyannote[57].speaker SPEAKER_04
transcript.pyannote[57].start 287.93534375
transcript.pyannote[57].end 288.89721875
transcript.pyannote[58].speaker SPEAKER_05
transcript.pyannote[58].start 288.89721875
transcript.pyannote[58].end 288.94784375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 289.84221875
transcript.pyannote[59].end 293.16659375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 293.43659375
transcript.pyannote[60].end 306.41346875
transcript.pyannote[61].speaker SPEAKER_05
transcript.pyannote[61].start 302.19471875
transcript.pyannote[61].end 302.21159375
transcript.pyannote[62].speaker SPEAKER_04
transcript.pyannote[62].start 302.21159375
transcript.pyannote[62].end 310.05846875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 307.22346875
transcript.pyannote[63].end 313.58534375
transcript.pyannote[64].speaker SPEAKER_05
transcript.pyannote[64].start 310.46346875
transcript.pyannote[64].end 310.54784375
transcript.pyannote[65].speaker SPEAKER_04
transcript.pyannote[65].start 310.54784375
transcript.pyannote[65].end 310.69971875
transcript.pyannote[66].speaker SPEAKER_05
transcript.pyannote[66].start 310.69971875
transcript.pyannote[66].end 310.86846875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 313.72034375
transcript.pyannote[67].end 316.21784375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 316.40346875
transcript.pyannote[68].end 318.44534375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 318.52971875
transcript.pyannote[69].end 324.72284375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 325.33034375
transcript.pyannote[70].end 326.32596875
transcript.pyannote[71].speaker SPEAKER_04
transcript.pyannote[71].start 326.66346875
transcript.pyannote[71].end 327.03471875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 327.03471875
transcript.pyannote[72].end 327.55784375
transcript.pyannote[73].speaker SPEAKER_04
transcript.pyannote[73].start 327.55784375
transcript.pyannote[73].end 327.74346875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 327.74346875
transcript.pyannote[74].end 331.05096875
transcript.pyannote[75].speaker SPEAKER_04
transcript.pyannote[75].start 327.84471875
transcript.pyannote[75].end 327.96284375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 327.96284375
transcript.pyannote[76].end 329.31284375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 331.15221875
transcript.pyannote[77].end 331.30409375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 331.42221875
transcript.pyannote[78].end 331.43909375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 331.43909375
transcript.pyannote[79].end 331.92846875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 331.57409375
transcript.pyannote[80].end 332.58659375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 332.82284375
transcript.pyannote[81].end 335.21909375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 335.30346875
transcript.pyannote[82].end 340.14659375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 341.00721875
transcript.pyannote[83].end 343.53846875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 343.58909375
transcript.pyannote[84].end 345.20909375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 345.69846875
transcript.pyannote[85].end 347.82471875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 348.11159375
transcript.pyannote[86].end 349.49534375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 349.56284375
transcript.pyannote[87].end 350.76096875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 351.11534375
transcript.pyannote[88].end 352.73534375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 352.54971875
transcript.pyannote[89].end 356.04284375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 356.16096875
transcript.pyannote[90].end 358.57409375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 358.86096875
transcript.pyannote[91].end 363.06284375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 361.57784375
transcript.pyannote[92].end 362.64096875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 363.85596875
transcript.pyannote[93].end 365.35784375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 364.32846875
transcript.pyannote[94].end 364.34534375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 364.34534375
transcript.pyannote[95].end 367.11284375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 366.04971875
transcript.pyannote[96].end 366.10034375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 366.26909375
transcript.pyannote[97].end 368.22659375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 367.53471875
transcript.pyannote[98].end 370.35284375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 369.76221875
transcript.pyannote[99].end 372.42846875
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 370.57221875
transcript.pyannote[100].end 371.80409375
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 371.85471875
transcript.pyannote[101].end 387.68346875
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 387.88596875
transcript.pyannote[102].end 391.32846875
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 391.49721875
transcript.pyannote[103].end 394.75409375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 394.72034375
transcript.pyannote[104].end 403.59659375
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 397.20096875
transcript.pyannote[105].end 397.57221875
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 400.77846875
transcript.pyannote[106].end 402.97221875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 402.97221875
transcript.pyannote[107].end 403.93409375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 403.84971875
transcript.pyannote[108].end 406.83659375
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 403.93409375
transcript.pyannote[109].end 403.95096875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 407.61284375
transcript.pyannote[110].end 412.21971875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 412.70909375
transcript.pyannote[111].end 415.35846875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 415.44284375
transcript.pyannote[112].end 416.25284375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 416.75909375
transcript.pyannote[113].end 420.69096875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 420.87659375
transcript.pyannote[114].end 424.06596875
transcript.pyannote[115].speaker SPEAKER_04
transcript.pyannote[115].start 424.21784375
transcript.pyannote[115].end 451.35284375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 449.78346875
transcript.pyannote[116].end 459.87471875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 459.46971875
transcript.pyannote[117].end 464.51534375
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 461.03909375
transcript.pyannote[118].end 461.93346875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 465.35909375
transcript.pyannote[119].end 466.37159375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 467.08034375
transcript.pyannote[120].end 469.20659375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 470.80971875
transcript.pyannote[121].end 473.02034375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 473.71221875
transcript.pyannote[122].end 477.34034375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 477.47534375
transcript.pyannote[123].end 479.06159375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 479.21346875
transcript.pyannote[124].end 495.19409375
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 495.32909375
transcript.pyannote[125].end 507.20909375
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 507.95159375
transcript.pyannote[126].end 511.78221875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 511.44471875
transcript.pyannote[127].end 512.03534375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 512.27159375
transcript.pyannote[128].end 517.58721875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 518.51534375
transcript.pyannote[129].end 533.34846875
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 527.44221875
transcript.pyannote[130].end 528.74159375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 533.92221875
transcript.pyannote[131].end 536.70659375
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 535.72784375
transcript.pyannote[132].end 536.99346875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 537.21284375
transcript.pyannote[133].end 542.66346875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 539.82846875
transcript.pyannote[134].end 548.65409375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 548.24909375
transcript.pyannote[135].end 548.58659375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 548.65409375
transcript.pyannote[136].end 548.68784375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 548.68784375
transcript.pyannote[137].end 548.82284375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 549.12659375
transcript.pyannote[138].end 550.40909375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 549.17721875
transcript.pyannote[139].end 549.54846875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 550.71284375
transcript.pyannote[140].end 555.42096875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 555.82596875
transcript.pyannote[141].end 569.98409375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 570.32159375
transcript.pyannote[142].end 570.77721875
transcript.pyannote[143].speaker SPEAKER_05
transcript.pyannote[143].start 570.77721875
transcript.pyannote[143].end 571.08096875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 571.08096875
transcript.pyannote[144].end 571.09784375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 571.16534375
transcript.pyannote[145].end 581.49284375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 581.79659375
transcript.pyannote[146].end 594.63846875
transcript.pyannote[147].speaker SPEAKER_04
transcript.pyannote[147].start 592.17471875
transcript.pyannote[147].end 592.54596875
transcript.pyannote[148].speaker SPEAKER_04
transcript.pyannote[148].start 592.56284375
transcript.pyannote[148].end 592.74846875
transcript.pyannote[149].speaker SPEAKER_04
transcript.pyannote[149].start 594.92534375
transcript.pyannote[149].end 619.69784375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 620.15346875
transcript.pyannote[150].end 621.14909375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 622.07721875
transcript.pyannote[151].end 623.44409375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 623.95034375
transcript.pyannote[152].end 625.95846875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 626.61659375
transcript.pyannote[153].end 631.51034375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 631.79721875
transcript.pyannote[154].end 632.26971875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 632.40471875
transcript.pyannote[155].end 632.43846875
transcript.pyannote[156].speaker SPEAKER_05
transcript.pyannote[156].start 632.43846875
transcript.pyannote[156].end 632.53971875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 632.53971875
transcript.pyannote[157].end 655.13534375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 655.45596875
transcript.pyannote[158].end 656.24909375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 656.63721875
transcript.pyannote[159].end 658.81409375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 659.26971875
transcript.pyannote[160].end 659.94471875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 660.41721875
transcript.pyannote[161].end 663.40409375
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 663.79221875
transcript.pyannote[162].end 666.61034375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 666.69471875
transcript.pyannote[163].end 667.79159375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 668.09534375
transcript.pyannote[164].end 668.92221875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 669.10784375
transcript.pyannote[165].end 669.85034375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 670.18784375
transcript.pyannote[166].end 670.57596875
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 671.77409375
transcript.pyannote[167].end 672.80346875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 673.03971875
transcript.pyannote[168].end 673.66409375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 673.83284375
transcript.pyannote[169].end 674.84534375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 675.13221875
transcript.pyannote[170].end 676.58346875
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 677.19096875
transcript.pyannote[171].end 677.88284375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 677.96721875
transcript.pyannote[172].end 679.84034375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 679.94159375
transcript.pyannote[173].end 683.53596875
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 683.85659375
transcript.pyannote[174].end 688.07534375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 687.75471875
transcript.pyannote[175].end 691.68659375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 689.07096875
transcript.pyannote[176].end 690.21846875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 691.90596875
transcript.pyannote[177].end 696.20909375
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 693.05346875
transcript.pyannote[178].end 693.47534375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 696.68159375
transcript.pyannote[179].end 701.15346875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 702.23346875
transcript.pyannote[180].end 706.01346875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 705.99659375
transcript.pyannote[181].end 710.78909375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 706.04721875
transcript.pyannote[182].end 707.32971875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 708.00471875
transcript.pyannote[183].end 708.17346875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 711.04221875
transcript.pyannote[184].end 712.88159375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 713.23596875
transcript.pyannote[185].end 714.68721875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 714.97409375
transcript.pyannote[186].end 723.91784375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 724.39034375
transcript.pyannote[187].end 729.87471875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 729.97596875
transcript.pyannote[188].end 732.62534375
transcript.pyannote[189].speaker SPEAKER_04
transcript.pyannote[189].start 733.80659375
transcript.pyannote[189].end 735.12284375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 734.53221875
transcript.pyannote[190].end 735.96659375
transcript.pyannote[191].speaker SPEAKER_04
transcript.pyannote[191].start 735.30846875
transcript.pyannote[191].end 751.05284375
transcript.pyannote[192].speaker SPEAKER_05
transcript.pyannote[192].start 735.96659375
transcript.pyannote[192].end 735.98346875
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 736.77659375
transcript.pyannote[193].end 737.48534375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 751.33971875
transcript.pyannote[194].end 757.53284375
transcript.pyannote[195].speaker SPEAKER_04
transcript.pyannote[195].start 754.88346875
transcript.pyannote[195].end 755.28846875
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 755.28846875
transcript.pyannote[196].end 755.38971875
transcript.pyannote[197].speaker SPEAKER_04
transcript.pyannote[197].start 755.38971875
transcript.pyannote[197].end 755.52471875
transcript.pyannote[198].speaker SPEAKER_04
transcript.pyannote[198].start 755.82846875
transcript.pyannote[198].end 755.89596875
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 755.89596875
transcript.pyannote[199].end 756.62159375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 757.53284375
transcript.pyannote[200].end 757.61721875
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 757.61721875
transcript.pyannote[201].end 763.05096875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 757.65096875
transcript.pyannote[202].end 758.07284375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 758.76471875
transcript.pyannote[203].end 760.11471875
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 761.48159375
transcript.pyannote[204].end 764.33346875
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 764.02971875
transcript.pyannote[205].end 765.90284375
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 766.29096875
transcript.pyannote[206].end 812.49471875
transcript.pyannote[207].speaker SPEAKER_05
transcript.pyannote[207].start 795.77159375
transcript.pyannote[207].end 796.96971875
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 796.96971875
transcript.pyannote[208].end 797.03721875
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 798.20159375
transcript.pyannote[209].end 798.38721875
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 812.59596875
transcript.pyannote[210].end 814.73909375
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 815.16096875
transcript.pyannote[211].end 817.60784375
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 817.86096875
transcript.pyannote[212].end 818.40096875
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 818.89034375
transcript.pyannote[213].end 820.54409375
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 820.93221875
transcript.pyannote[214].end 826.45034375
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 826.90596875
transcript.pyannote[215].end 829.85909375
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 831.29346875
transcript.pyannote[216].end 836.45721875
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 836.72721875
transcript.pyannote[217].end 838.90409375
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 840.47346875
transcript.pyannote[218].end 842.93721875
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 843.32534375
transcript.pyannote[219].end 844.11846875
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 844.57409375
transcript.pyannote[220].end 849.16409375
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 849.31596875
transcript.pyannote[221].end 854.15909375
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 854.31096875
transcript.pyannote[222].end 856.40346875
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 856.79159375
transcript.pyannote[223].end 862.41096875
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 862.71471875
transcript.pyannote[224].end 864.95909375
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 865.12784375
transcript.pyannote[225].end 867.38909375
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 868.30034375
transcript.pyannote[226].end 875.86034375
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 872.72159375
transcript.pyannote[227].end 873.85221875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 875.30346875
transcript.pyannote[228].end 878.00346875
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 878.49284375
transcript.pyannote[229].end 878.86409375
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 879.69096875
transcript.pyannote[230].end 881.05784375
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 881.44596875
transcript.pyannote[231].end 884.98971875
transcript.pyannote[232].speaker SPEAKER_02
transcript.pyannote[232].start 885.61409375
transcript.pyannote[232].end 887.87534375
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 887.97659375
transcript.pyannote[233].end 900.02534375
transcript.pyannote[234].speaker SPEAKER_04
transcript.pyannote[234].start 888.07784375
transcript.pyannote[234].end 888.11159375
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 888.11159375
transcript.pyannote[235].end 888.43221875
transcript.pyannote[236].speaker SPEAKER_04
transcript.pyannote[236].start 888.43221875
transcript.pyannote[236].end 888.83721875
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 888.83721875
transcript.pyannote[237].end 888.98909375
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 899.50221875
transcript.pyannote[238].end 906.42096875
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 907.28159375
transcript.pyannote[239].end 908.90159375
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 909.34034375
transcript.pyannote[240].end 911.17971875
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 911.85471875
transcript.pyannote[241].end 915.85409375
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 914.16659375
transcript.pyannote[242].end 921.13596875
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 916.36034375
transcript.pyannote[243].end 916.81596875
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 918.94221875
transcript.pyannote[244].end 919.53284375
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 921.06846875
transcript.pyannote[245].end 923.65034375
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 922.14846875
transcript.pyannote[246].end 922.97534375
transcript.whisperx[0].start 10.038
transcript.whisperx[0].end 29.301
transcript.whisperx[0].text 謝謝院會主席江副院長楊瓊瓊發言首先來邀請卓院長卓院長請背信這個朋友大家好還有我們在樓上的這個參訪人好譚委員好
transcript.whisperx[1].start 30.215
transcript.whisperx[1].end 46.136
transcript.whisperx[1].text 謝謝院長好根據2026年美國貿易障礙評估報告跟台美對等的貿易協定當中行政院跟農業部跟衛福部近期調整了美國產的加工用馬鈴薯的輸入檢疫條件
transcript.whisperx[2].start 47.518
transcript.whisperx[2].end 73.306
transcript.whisperx[2].text 那過去的標準是在邊境的時候呢查驗了發現了有一顆的發芽那整批貨櫃就是這個退運或者是銷毀整批貨櫃退運或者是銷毀那現在放寬的是允許有這個發芽或者是潰爛的這個個體整顆剔除後那其餘的個體可以指定到
transcript.whisperx[3].start 73.866
transcript.whisperx[3].end 101.299
transcript.whisperx[3].text 到指定的加工這個整顆丟掉那官方說法也就是說你們告訴我們說我們是參照日本的模式那強調加工用跟這個現實用的流向是不同那並設有三道的關卡第一個施用這個抑制劑第二個邊際抽檢的總配糖它的一個生物檢視200ppm
transcript.whisperx[4].start 103.22
transcript.whisperx[4].end 131.4
transcript.whisperx[4].text 第三個工廠端的一個監管這是你們告訴我們的但是毒物科的專家告訴我們龍葵鹼它具有神經的毒性而且它是耐高溫所以整櫃的馬鈴薯在密閉的輸運當中它發芽那是否會存在著交叉的污染是否會有那剔除之後它能不能百分之百
transcript.whisperx[5].start 132.32
transcript.whisperx[5].end 147.19
transcript.whisperx[5].text 您說的這個有發芽的或者是潰爛的這個個體是整顆丟掉但是剔除後是不是能夠百分之百的阻絕了這個毒素那所以呢本集認為管理的盲點
transcript.whisperx[6].start 148.231
transcript.whisperx[6].end 176.271
transcript.whisperx[6].text 那輿論他開始在質疑了我們政府本來是由海關海關全負責的來把關但是現在是轉嫁給加工廠所以在人力不足的時候會不會有這個人力不足沒有去檢查清楚在加工廠裡頭而且你要怎麼樣落實在整個工廠端的一個選別監管這一點非常重要所以
transcript.whisperx[7].start 177.571
transcript.whisperx[7].end 205.003
transcript.whisperx[7].text 貿易換食安很多的團體家長爸爸媽媽很緊張這是不是會接著又是萊豬歐盟的農藥的這個標準之後又一次的為貿易利益來犧牲國人的健康紅線所以在這樣的背景之下本期要請教過去我們對於發芽的這個馬鈴薯是零容忍的那邊境就是紅線
transcript.whisperx[8].start 206.683
transcript.whisperx[8].end 227.481
transcript.whisperx[8].text 現在紅線後測到加工廠內部所以我要請教發芽的馬鈴薯的毒性難道他會因為進了加工廠變成薯片就自動衰竟嗎接下來我個人還要再請問發芽的馬鈴薯就整顆丟棄了他不可能做任期他的產品
transcript.whisperx[9].start 228.041
transcript.whisperx[9].end 248.549
transcript.whisperx[9].text 而且那一批一定會驗農虧險先等一下我們把問題問好你們再回答 本席會給你們回答這樣子的一個管理邏輯的位移那本質上就是從政府負全責的邊境管理轉向到業者必須自負盈虧的自主管理所以院長
transcript.whisperx[10].start 249.469
transcript.whisperx[10].end 265.187
transcript.whisperx[10].text 你对于台湾加工厂的一个自律程度你认为会比我们国家的海关的专业检验更有信心吗请做说明这个检验的过程请部长说明
transcript.whisperx[11].start 265.407
transcript.whisperx[11].end 284.415
transcript.whisperx[11].text 我先跟委員報告我想委員對農業非常了解台中的楓葉的馬鈴薯我們為了保護所以在民國95年的時候我們特別訂定了芽體不能超過0.5公分那個的目的是為了防止這些國外進口的馬鈴薯進到我們的田裡面去跟我們國內的馬鈴薯競爭
transcript.whisperx[12].start 290.259
transcript.whisperx[12].end 304.311
transcript.whisperx[12].text 連牙體我們都非常嚴格這個就是我們對於食安有危險的我們絕對會嚴格而且是零容忍的一定要安全所以在這樣的一個情況下本市要請教的問題
transcript.whisperx[13].start 308.374
transcript.whisperx[13].end 324.153
transcript.whisperx[13].text 是沒有關聯性的本席沒有請你回答院長所以本席要請教你以往我們連牙體都這麼注意那你現在真的認為工廠的自主管理會比你國家你的國家的海關的專業檢驗還要有信心嗎
transcript.whisperx[14].start 326.976
transcript.whisperx[14].end 340.011
transcript.whisperx[14].text 我跟委員報告請教院長這是原則性的問題請教院長你的認為呢食安的問題我們當然是列為首要但邊境的管理我剛剛說過在美國它如果要發芽它是不可能出口的
transcript.whisperx[15].start 341.038
transcript.whisperx[15].end 362.888
transcript.whisperx[15].text 他不可能出口 發芽或土壤在這個馬鈴薯上面他就不可能出口過程當中一旦有芽發生了我們就把它丟棄掉絕不會拿去做任何加工產品好 要請問在密閉式的輸運當中你發覺這一顆幾顆那你把這個有問題的丟掉我們會全部檢查其他的
transcript.whisperx[16].start 364.589
transcript.whisperx[16].end 390.911
transcript.whisperx[16].text 會不會有交叉汙染的這個問題請教會不會有交叉汙染民眾要聽的事情對沒錯抽驗跟檢驗標準沒有改變所以即使他有沒有發芽我們都會有抽驗的程序要走所以換言之呢過去是整櫃就退了他沒有抽驗的問題現在沒有整櫃退我們就會抽驗因為他有一顆有芽體那一批我們就會抽驗
transcript.whisperx[17].start 391.704
transcript.whisperx[17].end 406.686
transcript.whisperx[17].text 一驗出超標整批退回所以換句話說院長您聽清楚了還是會有交叉感染的疑慮接下來本集要問農業部告訴我們你要參考日本的模式
transcript.whisperx[18].start 407.662
transcript.whisperx[18].end 423.512
transcript.whisperx[18].text 日本怎麼做呢日本有嚴謹的指定工廠的特許制度跟極高額的這個違規成本請教院長你針對我們目前所配合的指定加工廠你有派駐常駐的監管人員在那裡嗎
transcript.whisperx[19].start 424.252
transcript.whisperx[19].end 448.717
transcript.whisperx[19].text 我跟委員報告不是指定的加工廠是指定的地點它在指定的地點去做篩檢把這些不合格東西丟棄它還是在邊境檢定的一環因為它整個東西是封櫃而且經過鴨車去督導的部分它是在邊境檢驗的一環不是說從此就留到市場去或讓我們的加工廠自己來處理
transcript.whisperx[20].start 450.037
transcript.whisperx[20].end 468.513
transcript.whisperx[20].text 跟我們說明沒有完成檢驗程序之前還是在海關它是在冷凍櫃裡面並不會流入到工廠這是我們政府告訴我們的民眾的疑慮接下來等一下請教那如果這一個發芽的馬鈴薯
transcript.whisperx[21].start 470.868
transcript.whisperx[21].end 494.945
transcript.whisperx[21].text 在整個加工廠的時候你把整櫃這顆有問題的你把它剔除所以我們剛才質疑的會不會在密閉式的輸入當中這個過程有交互這污染的疑慮你們說你們現在告訴我們是說你還會針對於這一櫃全部重新的檢驗是不是如此
transcript.whisperx[22].start 495.407
transcript.whisperx[22].end 506.778
transcript.whisperx[22].text 在過去不論有沒有發芽我們都有抽菸的標準那現在如果有發現到有一顆有發芽被農業部特別挑出來的我們也會再加菸
transcript.whisperx[23].start 508.221
transcript.whisperx[23].end 528.066
transcript.whisperx[23].text 那驗出來只要抄標,整櫃就會退役現在部長告訴我們的說如果有他們會加驗這個就是家長的質疑因為他們生怕如果變薯片薯條我們不知道到底吃到的是不是來自於有發芽的馬鈴薯或者是這一櫃裡頭被剔除的原料
transcript.whisperx[24].start 533.968
transcript.whisperx[24].end 550.23
transcript.whisperx[24].text 踢足之後是不是會有交互這個汙染的馬鈴薯家長的疑慮是如此家宴之後有毒性的就整個退不可能家宴之後有毒性的來做成薯條薯片讓我來吃 不可能
transcript.whisperx[25].start 550.731
transcript.whisperx[25].end 569.539
transcript.whisperx[25].text 好 這個政府告訴我們所以本席要請教因為家長一直希望我們的食安我相信院長你也是零容忍的一定要全面的安全那在這樣情況之下大家都是希望日本他們的做法是如此那我們
transcript.whisperx[26].start 571.28
transcript.whisperx[26].end 594.458
transcript.whisperx[26].text 因為很多人會質疑也就是有一日的時候政府必須要給民眾來說明清楚在這樣的一個情況之下就是生怕我們為了要妥協這個食安的紅線所以拿國外的制度來當為食安的一個遮羞布這是非常讓民眾有不安的一定要說明清楚
transcript.whisperx[27].start 595.138
transcript.whisperx[27].end 620.737
transcript.whisperx[27].text 我跟委員報告我們的某個程度是比日本還嚴的日本的加工馬鈴薯是直接到加工廠去處理那我們還去檢查它有沒有牙底是為了防止它流出外面那有的話我們是整個的邊境的檢查是延伸到指定地點那邊去做一個有效的去除來保證說每一顆腐爛的發芽的東西都不會進到我們的消費市場這個是我們可以確定的好 市議院長
transcript.whisperx[28].start 622.13
transcript.whisperx[28].end 647.483
transcript.whisperx[28].text 我們民眾所希望的是食安的安全那所以因此要請教如果連發芽的馬鈴薯是不能進口的那這樣子最基礎的一個科學共識都能夠在談判當中去談判掉那所以民眾會質疑那未來是不是會開放更多的一個爭議性的農藥等所以本席要在這邊請院長來承諾貿易協定
transcript.whisperx[29].start 655.63
transcript.whisperx[29].end 667.302
transcript.whisperx[29].text 當然我們糧食安全跟國民健康這兩項以及國家跟產業利益這個是列為這次談判的四大優先的一個原則絕對不會破壞那馬鈴薯看這一張是
transcript.whisperx[30].start 671.826
transcript.whisperx[30].end 700.635
transcript.whisperx[30].text 腐爛發霉發芽的馬鈴薯都丟掉了不是丟掉拿去加工用這不要誤會這是加工用的馬鈴薯一旦有腐爛發霉發芽就把它丟掉了但是被誤會說丟掉以後是拿去加工用這是天大的誤會沒有人這麼誤會已經講得很清楚發芽腐爛的丟掉現在重點院長你要針對民眾的質疑重點是在你密閉式的一個運輸當中那麼你整個
transcript.whisperx[31].start 702.301
transcript.whisperx[31].end 723.062
transcript.whisperx[31].text 會不會你雖然把這些丟掉會不會有交叉我們會加強檢驗一旦有毒性整櫃退回好所以要請教如果有這些這個雖然剔除了但是還有一些這個櫃子裡面民眾還是有疑慮你未來是不是可以在整個包裝上面去標註
transcript.whisperx[32].start 724.503
transcript.whisperx[32].end 750.528
transcript.whisperx[32].text 你的來源是經過剔除的這些的一個批示可不可以這樣告訴民眾,民眾就沒有疑慮了嘛我跟委員報告,我們在持定地點檢查以後,我們會重新發檢疫的合格證如果他拿到檢疫的合格證的時候,就視同一般的因為經過整個的一個選別以後,把合格的馬鈴薯留下來發檢疫合格證是一樣的
transcript.whisperx[33].start 751.408
transcript.whisperx[33].end 761.199
transcript.whisperx[33].text 所以院長你去思考讓民眾怎麼樣可以安心這是最重要的你標示清楚就可以最安心了你去思考告訴我們社會大眾接下來本席要請教
transcript.whisperx[34].start 766.345
transcript.whisperx[34].end 784.238
transcript.whisperx[34].text AI新時代的建設由國發會去統籌經濟部、國科會以及數位部我們預計在2040年投入了1000億以上的資金預計要培植50萬的人才希望創造15兆的產值
transcript.whisperx[35].start 786.42
transcript.whisperx[35].end 814.582
transcript.whisperx[35].text 那115年度我們的預算我看到我們是編列280億包括的營業及非營業特種基金的部分是31億換句話說總共311億比去年我們增加了143億成長是84點多那這表示政府我們全力的來推動AI那但是我們看到目前算力中心多集中在哪裡在南科國網中心以及北部
transcript.whisperx[36].start 815.242
transcript.whisperx[36].end 838.663
transcript.whisperx[36].text 那如果要均衡區域均衡院長你是不是應該要考慮在這個預算應該要在中部地區因為中部地區在整個精密所有都是最完整的生產鏈是不是115年度的預算應該優先在我們的台中來設立請教院長要成立一個算力中心
transcript.whisperx[37].start 840.509
transcript.whisperx[37].end 867.235
transcript.whisperx[37].text 必須要先注意到他的能源的使用要充裕那中科是一個早期發展成熟各個產業都已經進駐的比較多的所以要在裡面找也並非不可但是一定要再詳細的計算用地以及那個能源的使用那南科還有這個沙崙他比較新興的所以他比較容易接受新的產業進來北部的科學院也是如此所以我們希望中部地區我們是
transcript.whisperx[38].start 868.517
transcript.whisperx[38].end 884.913
transcript.whisperx[38].text 把它設定為中部視線是精密智慧新核心它有它光學等等其他的特殊的就是將精密機械來轉為這個AI機器人整個的一個運作它是一個生產性非常完整的
transcript.whisperx[39].start 885.663
transcript.whisperx[39].end 911.113
transcript.whisperx[39].text AI的導入一定會全面的導入會全面的導入中部地區我們智慧新和精密智慧新和新希望能夠加強的除了它原來的傳產之外把它升級那光學以及航太都是在裡面特殊的所以本期具體建議結合台中的航太跟自動化的能量建立國家級的AI機器人測試的這個驗證場域是否可以
transcript.whisperx[40].start 912.613
transcript.whisperx[40].end 922.423
transcript.whisperx[40].text 機器人的時候可以是可以一定要全面推動帶動整個國家的一個升級產業在台中是最佳的場域好 我們一起合作好 謝謝謝謝委員