iVOD / 165540

Field Value
IVOD_ID 165540
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165540
日期 2025-11-18
會議資料.會議代碼 院會-11-4-9
會議資料.會議代碼:str 第11屆第4會期第9次會議
會議資料.屆 11
會議資料.會期 4
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4會期第9次會議
影片種類 Clip
開始時間 2025-11-18T14:46:19+08:00
結束時間 2025-11-18T15:02:07+08:00
影片長度 00:15:48
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/15ce70573aea8c158b2b9911adf0cf7002704d746941b03703a347d547cf20ed135377653bbc0bde5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 陳亭妃
委員發言時間 14:46:19 - 15:02:07
會議時間 2025-11-18T09:00:00+08:00
會議名稱 第11屆第4會期第9次會議(事由:一、討論事項:本院民進黨黨團,針對第11屆第1會期第9次會議報告事項第33案委員丁學忠等19人擬具「公立學校教職員退休資遣撫卹條例第三十七條條文修正草案」院會所作之決定提出復議。是否有當?請公決案等16案。二、行政院院長、主計長、財政部部長、行政院公共工程委員會主任委員及相關部會首長列席報告「中央政府花蓮馬太鞍溪堰塞湖災後重建特別預算案」編製經過並備質詢(11月18日上午)。三、對行政院院長施政報告繼續質詢(11月18日下午)。四、11月14日上午9時至10時為國是論壇時間。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 8.18159375
transcript.pyannote[0].end 12.26534375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 11.67471875
transcript.pyannote[1].end 13.21034375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 13.24409375
transcript.pyannote[2].end 15.94409375
transcript.pyannote[3].speaker SPEAKER_05
transcript.pyannote[3].start 24.31409375
transcript.pyannote[3].end 24.95534375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 25.10721875
transcript.pyannote[4].end 26.86221875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 27.11534375
transcript.pyannote[5].end 27.82409375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 27.97596875
transcript.pyannote[6].end 29.64659375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 30.05159375
transcript.pyannote[7].end 30.91221875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 31.09784375
transcript.pyannote[8].end 35.04659375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 35.40096875
transcript.pyannote[9].end 42.20159375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 42.42096875
transcript.pyannote[10].end 45.22221875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 45.42471875
transcript.pyannote[11].end 46.99409375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 47.28096875
transcript.pyannote[12].end 48.24284375
transcript.pyannote[13].speaker SPEAKER_05
transcript.pyannote[13].start 50.13284375
transcript.pyannote[13].end 52.46159375
transcript.pyannote[14].speaker SPEAKER_05
transcript.pyannote[14].start 52.64721875
transcript.pyannote[14].end 56.59596875
transcript.pyannote[15].speaker SPEAKER_05
transcript.pyannote[15].start 57.32159375
transcript.pyannote[15].end 60.19034375
transcript.pyannote[16].speaker SPEAKER_05
transcript.pyannote[16].start 60.59534375
transcript.pyannote[16].end 61.57409375
transcript.pyannote[17].speaker SPEAKER_05
transcript.pyannote[17].start 62.08034375
transcript.pyannote[17].end 66.87284375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 66.97409375
transcript.pyannote[18].end 70.70346875
transcript.pyannote[19].speaker SPEAKER_05
transcript.pyannote[19].start 67.22721875
transcript.pyannote[19].end 67.69971875
transcript.pyannote[20].speaker SPEAKER_05
transcript.pyannote[20].start 68.71221875
transcript.pyannote[20].end 69.20159375
transcript.pyannote[21].speaker SPEAKER_05
transcript.pyannote[21].start 70.70346875
transcript.pyannote[21].end 71.69909375
transcript.pyannote[22].speaker SPEAKER_05
transcript.pyannote[22].start 73.09971875
transcript.pyannote[22].end 75.66471875
transcript.pyannote[23].speaker SPEAKER_05
transcript.pyannote[23].start 76.06971875
transcript.pyannote[23].end 78.61784375
transcript.pyannote[24].speaker SPEAKER_05
transcript.pyannote[24].start 79.05659375
transcript.pyannote[24].end 80.22096875
transcript.pyannote[25].speaker SPEAKER_05
transcript.pyannote[25].start 80.47409375
transcript.pyannote[25].end 81.09846875
transcript.pyannote[26].speaker SPEAKER_05
transcript.pyannote[26].start 81.35159375
transcript.pyannote[26].end 90.71721875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 89.62034375
transcript.pyannote[27].end 93.45096875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 93.75471875
transcript.pyannote[28].end 99.01971875
transcript.pyannote[29].speaker SPEAKER_05
transcript.pyannote[29].start 99.01971875
transcript.pyannote[29].end 101.26409375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 100.94346875
transcript.pyannote[30].end 104.97659375
transcript.pyannote[31].speaker SPEAKER_05
transcript.pyannote[31].start 103.67721875
transcript.pyannote[31].end 103.99784375
transcript.pyannote[32].speaker SPEAKER_05
transcript.pyannote[32].start 104.75721875
transcript.pyannote[32].end 113.19471875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 107.17034375
transcript.pyannote[33].end 108.08159375
transcript.pyannote[34].speaker SPEAKER_05
transcript.pyannote[34].start 113.39721875
transcript.pyannote[34].end 124.19721875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 123.28596875
transcript.pyannote[35].end 126.84659375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 127.38659375
transcript.pyannote[36].end 133.59659375
transcript.pyannote[37].speaker SPEAKER_05
transcript.pyannote[37].start 127.40346875
transcript.pyannote[37].end 127.99409375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 133.86659375
transcript.pyannote[38].end 134.15346875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 134.15346875
transcript.pyannote[39].end 134.98034375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 135.26721875
transcript.pyannote[40].end 144.04221875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 143.48534375
transcript.pyannote[41].end 145.89846875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 145.64534375
transcript.pyannote[42].end 162.89159375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 157.17096875
transcript.pyannote[43].end 157.18784375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 157.18784375
transcript.pyannote[44].end 158.70659375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 161.52471875
transcript.pyannote[45].end 164.88284375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 165.32159375
transcript.pyannote[46].end 169.81034375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 165.45659375
transcript.pyannote[47].end 165.47346875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 167.95409375
transcript.pyannote[48].end 168.96659375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 169.99596875
transcript.pyannote[49].end 172.51034375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 172.76346875
transcript.pyannote[50].end 195.52784375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 195.47721875
transcript.pyannote[51].end 218.46096875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 195.62909375
transcript.pyannote[52].end 195.64596875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 195.66284375
transcript.pyannote[53].end 195.73034375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 202.66596875
transcript.pyannote[54].end 202.96971875
transcript.pyannote[55].speaker SPEAKER_05
transcript.pyannote[55].start 204.13409375
transcript.pyannote[55].end 204.15096875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 204.15096875
transcript.pyannote[56].end 204.80909375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 204.80909375
transcript.pyannote[57].end 204.85971875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 219.10221875
transcript.pyannote[58].end 227.92784375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 228.01221875
transcript.pyannote[59].end 250.45596875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 247.19909375
transcript.pyannote[60].end 258.96096875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 251.33346875
transcript.pyannote[61].end 251.65409375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 259.66971875
transcript.pyannote[62].end 264.04034375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 264.71534375
transcript.pyannote[63].end 269.25471875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 269.92971875
transcript.pyannote[64].end 280.79721875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 281.16846875
transcript.pyannote[65].end 282.68721875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 282.85596875
transcript.pyannote[66].end 298.14471875
transcript.pyannote[67].speaker SPEAKER_05
transcript.pyannote[67].start 298.66784375
transcript.pyannote[67].end 303.44346875
transcript.pyannote[68].speaker SPEAKER_05
transcript.pyannote[68].start 303.93284375
transcript.pyannote[68].end 305.89034375
transcript.pyannote[69].speaker SPEAKER_05
transcript.pyannote[69].start 306.29534375
transcript.pyannote[69].end 307.89846875
transcript.pyannote[70].speaker SPEAKER_05
transcript.pyannote[70].start 307.96596875
transcript.pyannote[70].end 310.22721875
transcript.pyannote[71].speaker SPEAKER_05
transcript.pyannote[71].start 310.42971875
transcript.pyannote[71].end 312.20159375
transcript.pyannote[72].speaker SPEAKER_05
transcript.pyannote[72].start 312.52221875
transcript.pyannote[72].end 325.83659375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 315.34034375
transcript.pyannote[73].end 315.82971875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 324.33471875
transcript.pyannote[74].end 326.66346875
transcript.pyannote[75].speaker SPEAKER_05
transcript.pyannote[75].start 326.37659375
transcript.pyannote[75].end 326.73096875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 326.73096875
transcript.pyannote[76].end 326.79846875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 326.81534375
transcript.pyannote[77].end 344.39909375
transcript.pyannote[78].speaker SPEAKER_05
transcript.pyannote[78].start 329.56596875
transcript.pyannote[78].end 329.83596875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 345.41159375
transcript.pyannote[79].end 346.45784375
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 346.60971875
transcript.pyannote[80].end 346.62659375
transcript.pyannote[81].speaker SPEAKER_05
transcript.pyannote[81].start 346.62659375
transcript.pyannote[81].end 346.66034375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 347.06534375
transcript.pyannote[82].end 360.73409375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 347.18346875
transcript.pyannote[83].end 347.87534375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 359.16471875
transcript.pyannote[84].end 366.58971875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 366.75846875
transcript.pyannote[85].end 368.02409375
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 368.63159375
transcript.pyannote[86].end 372.22596875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 370.79159375
transcript.pyannote[87].end 375.61784375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 375.97221875
transcript.pyannote[88].end 385.43909375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 385.77659375
transcript.pyannote[89].end 389.65784375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 389.87721875
transcript.pyannote[90].end 399.39471875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 399.63096875
transcript.pyannote[91].end 405.21659375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 405.28409375
transcript.pyannote[92].end 408.92909375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 409.14846875
transcript.pyannote[93].end 409.70534375
transcript.pyannote[94].speaker SPEAKER_05
transcript.pyannote[94].start 410.39721875
transcript.pyannote[94].end 414.37971875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 414.10971875
transcript.pyannote[95].end 414.36284375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 414.37971875
transcript.pyannote[96].end 414.41346875
transcript.pyannote[97].speaker SPEAKER_05
transcript.pyannote[97].start 414.41346875
transcript.pyannote[97].end 416.20221875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 415.71284375
transcript.pyannote[98].end 416.08409375
transcript.pyannote[99].speaker SPEAKER_05
transcript.pyannote[99].start 416.30346875
transcript.pyannote[99].end 420.43784375
transcript.pyannote[100].speaker SPEAKER_05
transcript.pyannote[100].start 420.92721875
transcript.pyannote[100].end 427.62659375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 425.97284375
transcript.pyannote[101].end 429.76971875
transcript.pyannote[102].speaker SPEAKER_05
transcript.pyannote[102].start 429.02721875
transcript.pyannote[102].end 441.86909375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 438.07221875
transcript.pyannote[103].end 438.10596875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 439.54034375
transcript.pyannote[104].end 440.24909375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 441.29534375
transcript.pyannote[105].end 454.79534375
transcript.pyannote[106].speaker SPEAKER_05
transcript.pyannote[106].start 443.35409375
transcript.pyannote[106].end 443.91096875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 455.52096875
transcript.pyannote[107].end 460.33034375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 460.75221875
transcript.pyannote[108].end 463.92471875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 464.49846875
transcript.pyannote[109].end 466.60784375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 467.21534375
transcript.pyannote[110].end 468.44721875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 468.71721875
transcript.pyannote[111].end 470.16846875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 470.82659375
transcript.pyannote[112].end 471.82221875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 472.49721875
transcript.pyannote[113].end 474.38721875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 475.11284375
transcript.pyannote[114].end 475.73721875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 475.87221875
transcript.pyannote[115].end 477.61034375
transcript.pyannote[116].speaker SPEAKER_05
transcript.pyannote[116].start 477.88034375
transcript.pyannote[116].end 479.17971875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 478.50471875
transcript.pyannote[117].end 480.36096875
transcript.pyannote[118].speaker SPEAKER_05
transcript.pyannote[118].start 479.58471875
transcript.pyannote[118].end 484.56284375
transcript.pyannote[119].speaker SPEAKER_05
transcript.pyannote[119].start 485.44034375
transcript.pyannote[119].end 486.63846875
transcript.pyannote[120].speaker SPEAKER_05
transcript.pyannote[120].start 486.85784375
transcript.pyannote[120].end 488.37659375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 487.88721875
transcript.pyannote[121].end 491.09346875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 491.53221875
transcript.pyannote[122].end 493.43909375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 494.19846875
transcript.pyannote[123].end 495.39659375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 495.81846875
transcript.pyannote[124].end 496.99971875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 498.51846875
transcript.pyannote[125].end 511.61346875
transcript.pyannote[126].speaker SPEAKER_05
transcript.pyannote[126].start 511.03971875
transcript.pyannote[126].end 513.41909375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 512.01846875
transcript.pyannote[127].end 513.50346875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 513.65534375
transcript.pyannote[128].end 516.18659375
transcript.pyannote[129].speaker SPEAKER_05
transcript.pyannote[129].start 513.90846875
transcript.pyannote[129].end 514.27971875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 516.60846875
transcript.pyannote[130].end 517.67159375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 518.14409375
transcript.pyannote[131].end 520.82721875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 521.38409375
transcript.pyannote[132].end 529.55159375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 530.00721875
transcript.pyannote[133].end 535.45784375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 535.93034375
transcript.pyannote[134].end 538.05659375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 538.68096875
transcript.pyannote[135].end 541.06034375
transcript.pyannote[136].speaker SPEAKER_05
transcript.pyannote[136].start 541.56659375
transcript.pyannote[136].end 542.62971875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 542.00534375
transcript.pyannote[137].end 545.19471875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 545.93721875
transcript.pyannote[138].end 547.21971875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 548.08034375
transcript.pyannote[139].end 550.02096875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 551.26971875
transcript.pyannote[140].end 557.83409375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 551.37096875
transcript.pyannote[141].end 551.94471875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 552.83909375
transcript.pyannote[142].end 553.02471875
transcript.pyannote[143].speaker SPEAKER_05
transcript.pyannote[143].start 553.02471875
transcript.pyannote[143].end 553.90221875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 558.59346875
transcript.pyannote[144].end 560.82096875
transcript.pyannote[145].speaker SPEAKER_05
transcript.pyannote[145].start 561.04034375
transcript.pyannote[145].end 573.74721875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 561.20909375
transcript.pyannote[146].end 562.13721875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 566.77784375
transcript.pyannote[147].end 567.65534375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 572.75159375
transcript.pyannote[148].end 574.87784375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 575.70471875
transcript.pyannote[149].end 577.08846875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 577.79721875
transcript.pyannote[150].end 579.41721875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 580.09221875
transcript.pyannote[151].end 594.09846875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 594.85784375
transcript.pyannote[152].end 596.02221875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 596.41034375
transcript.pyannote[153].end 599.22846875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 599.97096875
transcript.pyannote[154].end 602.35034375
transcript.pyannote[155].speaker SPEAKER_05
transcript.pyannote[155].start 601.69221875
transcript.pyannote[155].end 606.19784375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 604.08846875
transcript.pyannote[156].end 610.82159375
transcript.pyannote[157].speaker SPEAKER_05
transcript.pyannote[157].start 610.82159375
transcript.pyannote[157].end 611.17596875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 611.56409375
transcript.pyannote[158].end 613.67346875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 613.92659375
transcript.pyannote[159].end 624.49034375
transcript.pyannote[160].speaker SPEAKER_05
transcript.pyannote[160].start 624.60846875
transcript.pyannote[160].end 625.77284375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 625.60409375
transcript.pyannote[161].end 626.07659375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 626.61659375
transcript.pyannote[162].end 630.54846875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 631.45971875
transcript.pyannote[163].end 631.99971875
transcript.pyannote[164].speaker SPEAKER_05
transcript.pyannote[164].start 632.21909375
transcript.pyannote[164].end 632.97846875
transcript.pyannote[165].speaker SPEAKER_05
transcript.pyannote[165].start 633.33284375
transcript.pyannote[165].end 645.68534375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 635.45909375
transcript.pyannote[166].end 636.43784375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 638.69909375
transcript.pyannote[167].end 639.72846875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 640.58909375
transcript.pyannote[168].end 641.24721875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 642.10784375
transcript.pyannote[169].end 642.63096875
transcript.pyannote[170].speaker SPEAKER_05
transcript.pyannote[170].start 646.17471875
transcript.pyannote[170].end 648.31784375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 647.03534375
transcript.pyannote[171].end 647.47409375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 648.31784375
transcript.pyannote[172].end 648.97596875
transcript.pyannote[173].speaker SPEAKER_05
transcript.pyannote[173].start 648.33471875
transcript.pyannote[173].end 648.40221875
transcript.pyannote[174].speaker SPEAKER_05
transcript.pyannote[174].start 648.52034375
transcript.pyannote[174].end 652.53659375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 651.06846875
transcript.pyannote[175].end 667.03221875
transcript.pyannote[176].speaker SPEAKER_05
transcript.pyannote[176].start 657.78471875
transcript.pyannote[176].end 658.13909375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 658.13909375
transcript.pyannote[177].end 658.17284375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 667.11659375
transcript.pyannote[178].end 670.72784375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 670.99784375
transcript.pyannote[179].end 683.02971875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 683.68784375
transcript.pyannote[180].end 691.55159375
transcript.pyannote[181].speaker SPEAKER_05
transcript.pyannote[181].start 684.44721875
transcript.pyannote[181].end 685.24034375
transcript.pyannote[182].speaker SPEAKER_05
transcript.pyannote[182].start 690.21846875
transcript.pyannote[182].end 690.35346875
transcript.pyannote[183].speaker SPEAKER_05
transcript.pyannote[183].start 691.63596875
transcript.pyannote[183].end 695.97284375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 692.47971875
transcript.pyannote[184].end 692.61471875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 692.76659375
transcript.pyannote[185].end 695.43284375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 695.66909375
transcript.pyannote[186].end 699.11159375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 699.33096875
transcript.pyannote[187].end 701.06909375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 702.04784375
transcript.pyannote[188].end 702.80721875
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 703.78596875
transcript.pyannote[189].end 705.67596875
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 705.96284375
transcript.pyannote[190].end 707.56596875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 708.93284375
transcript.pyannote[191].end 710.02971875
transcript.pyannote[192].speaker SPEAKER_05
transcript.pyannote[192].start 710.33346875
transcript.pyannote[192].end 711.86909375
transcript.pyannote[193].speaker SPEAKER_04
transcript.pyannote[193].start 710.55284375
transcript.pyannote[193].end 710.85659375
transcript.pyannote[194].speaker SPEAKER_04
transcript.pyannote[194].start 711.86909375
transcript.pyannote[194].end 713.06721875
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 712.22346875
transcript.pyannote[195].end 713.10096875
transcript.pyannote[196].speaker SPEAKER_05
transcript.pyannote[196].start 713.06721875
transcript.pyannote[196].end 714.65346875
transcript.pyannote[197].speaker SPEAKER_04
transcript.pyannote[197].start 713.11784375
transcript.pyannote[197].end 723.54659375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 723.78284375
transcript.pyannote[198].end 729.77346875
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 730.39784375
transcript.pyannote[199].end 732.03471875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 732.52409375
transcript.pyannote[200].end 736.91159375
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 737.51909375
transcript.pyannote[201].end 740.65784375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 741.50159375
transcript.pyannote[202].end 749.60159375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 749.95596875
transcript.pyannote[203].end 752.97659375
transcript.pyannote[204].speaker SPEAKER_05
transcript.pyannote[204].start 753.14534375
transcript.pyannote[204].end 754.19159375
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 754.49534375
transcript.pyannote[205].end 756.57096875
transcript.pyannote[206].speaker SPEAKER_05
transcript.pyannote[206].start 756.57096875
transcript.pyannote[206].end 761.49846875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 756.67221875
transcript.pyannote[207].end 757.14471875
transcript.pyannote[208].speaker SPEAKER_05
transcript.pyannote[208].start 761.65034375
transcript.pyannote[208].end 766.13909375
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 761.68409375
transcript.pyannote[209].end 762.10596875
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 764.45159375
transcript.pyannote[210].end 771.85971875
transcript.pyannote[211].speaker SPEAKER_04
transcript.pyannote[211].start 766.13909375
transcript.pyannote[211].end 766.17284375
transcript.pyannote[212].speaker SPEAKER_04
transcript.pyannote[212].start 771.11721875
transcript.pyannote[212].end 775.21784375
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 773.86784375
transcript.pyannote[213].end 776.04471875
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 776.17971875
transcript.pyannote[214].end 777.59721875
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 778.03596875
transcript.pyannote[215].end 781.84971875
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 782.50784375
transcript.pyannote[216].end 783.82409375
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 784.68471875
transcript.pyannote[217].end 789.47721875
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 790.23659375
transcript.pyannote[218].end 793.51034375
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 794.30346875
transcript.pyannote[219].end 797.84721875
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 798.30284375
transcript.pyannote[220].end 799.61909375
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 800.34471875
transcript.pyannote[221].end 803.83784375
transcript.pyannote[222].speaker SPEAKER_05
transcript.pyannote[222].start 803.83784375
transcript.pyannote[222].end 803.93909375
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 803.93909375
transcript.pyannote[223].end 806.72346875
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 807.82034375
transcript.pyannote[224].end 810.38534375
transcript.pyannote[225].speaker SPEAKER_05
transcript.pyannote[225].start 808.63034375
transcript.pyannote[225].end 810.75659375
transcript.pyannote[226].speaker SPEAKER_05
transcript.pyannote[226].start 811.33034375
transcript.pyannote[226].end 812.14034375
transcript.pyannote[227].speaker SPEAKER_05
transcript.pyannote[227].start 812.51159375
transcript.pyannote[227].end 813.96284375
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 814.21596875
transcript.pyannote[228].end 814.23284375
transcript.pyannote[229].speaker SPEAKER_05
transcript.pyannote[229].start 814.23284375
transcript.pyannote[229].end 819.09284375
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 814.24971875
transcript.pyannote[230].end 814.63784375
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 816.42659375
transcript.pyannote[231].end 817.33784375
transcript.pyannote[232].speaker SPEAKER_05
transcript.pyannote[232].start 819.36284375
transcript.pyannote[232].end 823.86846875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 819.66659375
transcript.pyannote[233].end 820.47659375
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 821.65784375
transcript.pyannote[234].end 827.26034375
transcript.pyannote[235].speaker SPEAKER_05
transcript.pyannote[235].start 827.07471875
transcript.pyannote[235].end 827.17596875
transcript.pyannote[236].speaker SPEAKER_05
transcript.pyannote[236].start 827.26034375
transcript.pyannote[236].end 827.66534375
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 827.66534375
transcript.pyannote[237].end 829.23471875
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 830.17971875
transcript.pyannote[238].end 831.49596875
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 832.05284375
transcript.pyannote[239].end 835.02284375
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 835.17471875
transcript.pyannote[240].end 836.44034375
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 836.76096875
transcript.pyannote[241].end 837.40221875
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 837.70596875
transcript.pyannote[242].end 838.75221875
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 839.25846875
transcript.pyannote[243].end 839.83221875
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 840.08534375
transcript.pyannote[244].end 844.28721875
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 844.52346875
transcript.pyannote[245].end 848.21909375
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 848.99534375
transcript.pyannote[246].end 850.12596875
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 850.81784375
transcript.pyannote[247].end 855.30659375
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 855.82971875
transcript.pyannote[248].end 857.06159375
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 857.58471875
transcript.pyannote[249].end 863.57534375
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 863.98034375
transcript.pyannote[250].end 896.75159375
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 897.19034375
transcript.pyannote[251].end 900.75096875
transcript.pyannote[252].speaker SPEAKER_01
transcript.pyannote[252].start 901.35846875
transcript.pyannote[252].end 921.06846875
transcript.pyannote[253].speaker SPEAKER_01
transcript.pyannote[253].start 921.65909375
transcript.pyannote[253].end 930.43409375
transcript.pyannote[254].speaker SPEAKER_00
transcript.pyannote[254].start 939.17534375
transcript.pyannote[254].end 944.96346875
transcript.whisperx[0].start 8.803
transcript.whisperx[0].end 15.726
transcript.whisperx[0].text 呃謝謝院長我們請卓院長還有交通部長麻煩再請陳院長卓院長交通部陳部長備詢陳委員好
transcript.whisperx[1].start 25.488
transcript.whisperx[1].end 47.799
transcript.whisperx[1].text 院長好部長好院長其實身為一個女性我相信不論是不是發生在我們的身上我們看的都很難過利用AI製作身為影片產生數位性暴力的問題到底要怎麼解決我們所有的政治人物一個一個這樣的一個受害那我們該怎麼辦
transcript.whisperx[2].start 50.188
transcript.whisperx[2].end 71.002
transcript.whisperx[2].text 在網路世界現在這麼發達的狀況底下也可以說是氾濫的這個情況底下各個年齡層都會受到很多不同的傷害那剛剛你說到的女性同胞甚至是一般的人都可能遭到這個性暴力的傷害連政治人物都這麼做了更何況是其他所以我認為
transcript.whisperx[3].start 73.134
transcript.whisperx[3].end 88.48
transcript.whisperx[3].text 要從源頭開始還是就平台的管理但是我們認為應該做更多的預防措施包括我們相關部會教育部對於教育的過程還有衛福部對於整個社區的宣傳過程宣導的過程都應該從
transcript.whisperx[4].start 90.481
transcript.whisperx[4].end 114.481
transcript.whisperx[4].text 其實我相信宣傳很重要沒錯可是源頭的平台沒有管理他還是沒有辦法處理源頭的平台怎麼做這才是最重要的全世界都一樣就是對社群網站的平台各國都還在摸索一個法治化的完整性那我們也認為台灣應該趕快加強
transcript.whisperx[5].start 116.224
transcript.whisperx[5].end 134.516
transcript.whisperx[5].text 還要這個速發部長期來尤其是在打詐司法之後跟各個平台有更進一步的連結那這個怎麼辦呢速發部這個怎麼辦呢我們過去沒有速發部說沒有專責單位現在有速發部了之後那要怎麼辦
transcript.whisperx[6].start 136.756
transcript.whisperx[6].end 153.92
transcript.whisperx[6].text 這個議題基本上有兩個部分一個是AI夾影像的問題另外一個是色情影像的問題現在是這兩個已經加起來了沒錯但是我們處理如果說他在有兒少保護上違反了任何法律的話只要衛福部這邊確認通知我們速發部
transcript.whisperx[7].start 156.846
transcript.whisperx[7].end 180.631
transcript.whisperx[7].text 像在Facebook上 我們就要求Facebook上馬上要下架還是被動嘛 你們還是比較被動嘛就是要舉報嘛 相關單位舉報嘛第一個就是法律有幾個層面 第一個是法律層面第二個是所有這些社群平台 包含Facebook等等
transcript.whisperx[8].start 181.091
transcript.whisperx[8].end 208.617
transcript.whisperx[8].text 他们都有所谓的社群守则他们有这个社群守则他们会用AI或者人工的方式他发现有任何这种违法违反他们社群守则的影像他们就会自动下架如果他们做得不好的话我们速发部位去跟他要求那就只是下架你才是透过Facebook它的一个观控的机制对不对它自动下架可是伤害造成请问这个不是我们所看到的这些
transcript.whisperx[9].start 210.119
transcript.whisperx[9].end 217.955
transcript.whisperx[9].text 政治人物不是都已經被上架了嗎上架的時候再下架你說傷害都造成了有什麼用
transcript.whisperx[10].start 219.178
transcript.whisperx[10].end 241.227
transcript.whisperx[10].text 是然后这个时候我们就要牵涉到另外一件事情就是AI假影像的问题那AI假影像的问题我们分成几个层面来处理第一个就是说像是OpenAI或者是GoogleMeta这些公司大公司它产生的AI影像上面都应该会有浮水印就清楚的注明说这是假影像这是第一个层面那第二个层面是
transcript.whisperx[11].start 241.727
transcript.whisperx[11].end 269.255
transcript.whisperx[11].text 還是回到就是Facebook等這些平台他都有他的社群守則他社群守則裡面都講說如果是AI的形成影像部長 因為我時間有限了但是我剛聽你這麼說院長我要做一個請求因為我是女性政治人物我也是女性的代表我都覺得我們看到這些影片我們自己心都很痛而且你說的上了之後再下傷害已經造成了
transcript.whisperx[12].start 270
transcript.whisperx[12].end 297.53
transcript.whisperx[12].text 假影像 偽影像我們無法可管他們只會變本加厲所以拜託院長是不是可以責成我們相關單位這個已經離譜了已經離譜了所以我們拜託我們是不是可以用專案看怎麼樣去處理這些所謂已經有數位性暴力的這些問題不是假影像而是性暴力喔所以院長可以拜託嗎
transcript.whisperx[13].start 299.117
transcript.whisperx[13].end 323.232
transcript.whisperx[13].text 包括衛福部也有成立一個性影像的處理中心等等但是照委員所說的這個都是事後啦那我們事前有沒有辦法能力我覺得現在事前我們要去全面的嚇惡主啊目前來看這個能力是還不夠 光全世界都一樣但是我們願意從法制面來加強一旦發現馬上處理 處理之後不僅下架法律責任要出現我們才能夠有
transcript.whisperx[14].start 323.792
transcript.whisperx[14].end 344.144
transcript.whisperx[14].text 直接就是要有重罰嘛要有重罰又有法的管制嘛当然啊你如果没有他个人因为害怕不去做这件事情说真的有时候他用偷偷摸摸的方式你也没办法可是当你没有重罰你没有一个宣示性
transcript.whisperx[15].start 345.635
transcript.whisperx[15].end 367.524
transcript.whisperx[15].text 這些人不會怕跟委員補充報告剛陳律師院長所說的大概也是三綠共管就是這個原則自律部分那我們NC這邊有透過IOE去跟平台做一些自律加強我想問的是說這些部分怎麼樣有提出一套的辦法讓大家有信心一個月可以嗎
transcript.whisperx[16].start 369.004
transcript.whisperx[16].end 385.174
transcript.whisperx[16].text 你不要再說現在已經有了我知道現在有可是我告訴你人家是用各種的方式在侵入表示你不斷在增加人家的技術也不斷在增加
transcript.whisperx[17].start 385.894
transcript.whisperx[17].end 409.5
transcript.whisperx[17].text 所以我們必須面對的是事實我們的政府控管單位有不足的地方我們要怎麼樣什麼時候能夠把它補足讓人民有信心我們期待的是這個樣子好 院長一個月把這樣的一個所謂的數位性暴力能夠理出一套的方式甚至是重罰好不好
transcript.whisperx[18].start 410.424
transcript.whisperx[18].end 425.606
transcript.whisperx[18].text 我們就像現在面對打炸一樣我們釐出一個機制出來把它的流程等等刷出來現在我們還有一個台灣的網路資訊中心它可以把它馬上對這些網站限制它的接取降低它的流量等等
transcript.whisperx[19].start 426.027
transcript.whisperx[19].end 454.575
transcript.whisperx[19].text 所以我們應該把我們的辦法一點一點能夠做的控管就是請蘇發部通產部跟內政部能不能同時把這個速度往前推把速度往前加快之外把我們的階段往前推讓它避免它發生錯誤之後其實人民要的是一個信心跟信任感謝謝那另外一個部分是院長其實我也跟你討論過說在我們當時候丹納斯颱風還有我們的豪大雨
transcript.whisperx[20].start 455.595
transcript.whisperx[20].end 482.893
transcript.whisperx[20].text 整個的狀態728 823說真的泡水車也很嚴重可是我覺得我們好像有一點落差你知道嗎在這一次我們看到花蓮的這一次特別條例他是有針對泡水車對不對我們丹納斯是沒有的我們丹納斯是沒有的泡水車跟被土石流整個淹沒的這個車輛受損的情形
transcript.whisperx[21].start 485.592
transcript.whisperx[21].end 511.402
transcript.whisperx[21].text 當然都很嚴重了只是泡水車的嚴重那台車就不能用了可是你知道嗎院長大家會比較其實這個是民眾跟我澄清的如果沒有他們的澄清我也不知道說原來在我們花蓮這一次土石流的一個特別條例我們市交通部有編列預算可以來做補助對車輛的部分
transcript.whisperx[22].start 515.724
transcript.whisperx[22].end 540.853
transcript.whisperx[22].text 所以大家會比較其實土石流很嚴重真的我相信在這次花蓮縣大家看到了所以我們有這個產值超人大家全力去支援那可是台南說真的從丹納斯到所有的一個水災豪雨這一次所影響的也很嚴重
transcript.whisperx[23].start 541.493
transcript.whisperx[23].end 544.079
transcript.whisperx[23].text 那車 我跟你說他們也不能開也不能開所以我們是不是應該思考
transcript.whisperx[24].start 551.611
transcript.whisperx[24].end 576.837
transcript.whisperx[24].text 應該有什麼樣的協助因為現在的泡水車是由我們地方政府有補助而已我知道從過去都沒有土石流的傷害這車輛是直接就報廢掉了連修都沒有辦法修我們一般對淹水的是可以修只是可能它有其他問題所以我們沒有要求說補助的比例那麼高
transcript.whisperx[25].start 577.87
transcript.whisperx[25].end 593.792
transcript.whisperx[25].text 那只是一個感覺啦其實院長是一個感覺因為我說真的我們本來不知道說在這個特別條例當中我們土石流的車子有補助這也是民眾提供的所以思考一下
transcript.whisperx[26].start 594.893
transcript.whisperx[26].end 622.84
transcript.whisperx[26].text 好思考一下是不是這個部分因為我不是要求像土石流這樣補助那麼多我知道委員的關心我完全了解不是不是也非常感謝只是說我也知道土石流的車子是完全都不能動不能開不能修但是泡水車如果你的底盤沒有淹過那起碼他還可以有修復的機會但是如果底盤淹過了那所有的底盤浸過水也很難修
transcript.whisperx[27].start 624.656
transcript.whisperx[27].end 649.743
transcript.whisperx[27].text 我了解所以我認為這個部分我們是不是可以思考一下好不好因為這個到底是程度不同 特殊性但是就民眾擁有者他的損害來看他是一樣的這一次在丹納斯颱風的時候我們並沒有納入因為他沒有爆出來那麼多的量直接報廢是沒有
transcript.whisperx[28].start 651.104
transcript.whisperx[28].end 666.682
transcript.whisperx[28].text 因為當時我們有建議過那行政院也是這樣給我們回覆我們也接受啦因為過去確實特別條例對於泡水車中央並沒有補助那因為這一次花蓮土石流的這個特別條例有不一樣那我們也知道
transcript.whisperx[29].start 667.302
transcript.whisperx[29].end 682.471
transcript.whisperx[29].text 我再次強調我們清楚土石流的整個報廢的車輛跟泡水的狀況其實不大一樣所以我們並不說你要像這個土石流的車補助那麼多但是人民的感覺
transcript.whisperx[30].start 684.052
transcript.whisperx[30].end 707.344
transcript.whisperx[30].text 因為那個車子還是很難修了所以這個拜託院長還有部長這邊是不是思考一下好的 我們會來想想看有沒有好的方法謝謝對 人民的想法第二個部分就是我們台鐵公司研議是不是應該維持愛心孩童票
transcript.whisperx[31].start 709.016
transcript.whisperx[31].end 722.088
transcript.whisperx[31].text 是不是應該他還是為止啊沒有沒有目前我們大部分的愛心票都有在只不過有一些方案是大家可能會想要試用兩種那我們會擇一來處理
transcript.whisperx[32].start 723.854
transcript.whisperx[32].end 752.477
transcript.whisperx[32].text 沒有因為現在其實我們的愛心孩童票其實就是從87年6月16號就開始了然後呢一直到114年6月我們的愛心孩童票就把喊卡了那其實就像部長所說的嘛已經禁用使用多年的一個大家的一個習慣為什麼我們要特別去做這個改變
transcript.whisperx[33].start 754.514
transcript.whisperx[33].end 783.56
transcript.whisperx[33].text 孩童愛心孩童票我們是愛心票跟殘障的票現在折一因為可能是愛心又是小兒童的部分就是有孩童他身上有一些不同的狀況必須要家長協助的他這個折會比原本的那個折更多沒錯但是我的意思是說為什麼我們每次都是做的比以前好的時候我們就要去改變大家的這個印象
transcript.whisperx[34].start 784.72
transcript.whisperx[34].end 802.895
transcript.whisperx[34].text 你懂我意思嗎明明就像部長所說的我以前可能這個是這麼樣的處理可是我現在我雖然把它取消了可是我則數可能會比較多可是人民那種感覺怎麼會從87年6月16號然後一直到114年6月
transcript.whisperx[35].start 808.144
transcript.whisperx[35].end 837.059
transcript.whisperx[35].text 其實我講的都是民眾的反應一個兒童他可能需要大人陪伴所以能夠降低他的負擔對家長來看也是一個必須的我請交通部 台鐵來做考量因為小朋友他身上有狀況他一定要家人陪伴所以這個部分就是說剛剛部長說的我們現在提出的應該會比以前的則數更多可是
transcript.whisperx[36].start 837.799
transcript.whisperx[36].end 848.073
transcript.whisperx[36].text 那我為什麼要好就要更好對於民眾的福利我們不會嫌多因為我們要幫忙的是這些弱勢的朋友
transcript.whisperx[37].start 849.045
transcript.whisperx[37].end 873.938
transcript.whisperx[37].text 我們要幫忙他所以你再把這個拿掉說真的這也是民眾陳情的他會覺得怎麼會又把過去87年就一直延伸到現在的把它取消掉了這個部分拜託部長拜託院長另外一個部分就是我們的捷運藍線這個部分可能明年要發包
transcript.whisperx[38].start 876.559
transcript.whisperx[38].end 900.499
transcript.whisperx[38].text 所以我們327.31億可是部長這個部分我們必須還要用一個半環狀它才會有價值就是我們的延伸線 藍線的延伸線還有我們的深綠線就是連接我們的南科然後還有我們的紅線就是連接高雄
transcript.whisperx[39].start 901.66
transcript.whisperx[39].end 930.206
transcript.whisperx[39].text 湖內這一區塊因為當你這個銜接起來他有一個半環狀他的經濟價值捷運的經濟價值才會高人民要做的意願才會高所以這幾條拜託也一定要趕快來做一些核准你看藍線我們努力多久了你看到明年囉那一天我們賴總統才說在他當行政院長的時候才核可行性評估你看
transcript.whisperx[40].start 940.165
transcript.whisperx[40].end 941.686
transcript.whisperx[40].text 好 謝謝陳廷飛委員的質詢謝謝卓院長 相關部會首長備詢 謝謝