iVOD / 158104

Field Value
IVOD_ID 158104
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158104
日期 2024-12-12
影片種類 Clip
開始時間 2024-12-12T10:50:31+08:00
結束時間 2024-12-12T11:11:09+08:00
影片長度 00:20:38
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/50d02d9c955f8e2d37f466f53ce672980341d36cd1de3acc905041b3116858180a3ad233f9b498fc5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林憶君
委員發言時間 10:50:31 - 11:11:09
會議時間 2024-12-12T09:00:00+08:00
會議名稱 第11屆第2會期第2次全院委員會(事由:總統咨,茲依據中華民國憲法增修條文第5條規定,提名張文貞、姚立明、何賴傑、陳運財、王碧芳、廖福特、劉靜怡7位為司法院大法官,並以張文貞為院長、姚立明為副院長,咨請同意案。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 4.55346875
transcript.pyannote[0].end 5.86971875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 6.24096875
transcript.pyannote[1].end 8.24909375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 20.14596875
transcript.pyannote[2].end 35.58659375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 35.85659375
transcript.pyannote[3].end 41.96534375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 42.40409375
transcript.pyannote[4].end 42.70784375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 43.56846875
transcript.pyannote[5].end 52.24221875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 52.41096875
transcript.pyannote[6].end 79.46159375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 79.74846875
transcript.pyannote[7].end 80.13659375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 81.65534375
transcript.pyannote[8].end 94.78409375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 94.88534375
transcript.pyannote[9].end 101.21346875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 101.60159375
transcript.pyannote[10].end 134.20409375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 134.50784375
transcript.pyannote[11].end 140.68409375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 140.88659375
transcript.pyannote[12].end 156.93471875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 157.13721875
transcript.pyannote[13].end 171.39659375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 171.61596875
transcript.pyannote[14].end 182.39909375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 182.65221875
transcript.pyannote[15].end 195.46034375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 195.88221875
transcript.pyannote[16].end 212.52096875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 212.99346875
transcript.pyannote[17].end 214.20846875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 214.20846875
transcript.pyannote[18].end 214.22534375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 214.93409375
transcript.pyannote[19].end 216.99284375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 217.17846875
transcript.pyannote[20].end 219.35534375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 219.49034375
transcript.pyannote[21].end 225.14346875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 225.76784375
transcript.pyannote[22].end 228.24846875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 228.46784375
transcript.pyannote[23].end 233.12534375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 231.92721875
transcript.pyannote[24].end 232.90596875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 233.12534375
transcript.pyannote[25].end 235.82534375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 234.99846875
transcript.pyannote[26].end 247.33409375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 247.67159375
transcript.pyannote[27].end 260.39534375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 260.39534375
transcript.pyannote[28].end 260.44596875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 261.00284375
transcript.pyannote[29].end 261.03659375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 261.03659375
transcript.pyannote[30].end 267.49971875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 267.65159375
transcript.pyannote[31].end 290.38221875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 290.70284375
transcript.pyannote[32].end 292.32284375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 292.71096875
transcript.pyannote[33].end 299.79846875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 300.64221875
transcript.pyannote[34].end 321.83721875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 322.37721875
transcript.pyannote[35].end 324.89159375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 325.04346875
transcript.pyannote[36].end 325.46534375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 325.46534375
transcript.pyannote[37].end 325.48221875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 325.48221875
transcript.pyannote[38].end 333.00846875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 334.22346875
transcript.pyannote[39].end 356.41409375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 356.41409375
transcript.pyannote[40].end 364.29471875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 364.80096875
transcript.pyannote[41].end 378.95909375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 380.08971875
transcript.pyannote[42].end 386.02971875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 386.02971875
transcript.pyannote[43].end 386.58659375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 387.10971875
transcript.pyannote[44].end 396.23909375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 396.35721875
transcript.pyannote[45].end 402.63471875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 403.39409375
transcript.pyannote[46].end 405.97596875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 406.22909375
transcript.pyannote[47].end 411.83159375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 412.35471875
transcript.pyannote[48].end 421.36596875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 421.48409375
transcript.pyannote[49].end 425.97284375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 425.97284375
transcript.pyannote[50].end 431.60909375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 432.30096875
transcript.pyannote[51].end 439.43909375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 440.08034375
transcript.pyannote[52].end 441.36284375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 441.80159375
transcript.pyannote[53].end 444.04596875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 445.26096875
transcript.pyannote[54].end 453.46221875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 454.25534375
transcript.pyannote[55].end 457.93409375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 458.35596875
transcript.pyannote[56].end 462.65909375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 463.35096875
transcript.pyannote[57].end 472.88534375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 473.54346875
transcript.pyannote[58].end 475.56846875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 475.93971875
transcript.pyannote[59].end 476.98596875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 477.45846875
transcript.pyannote[60].end 478.42034375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 479.29784375
transcript.pyannote[61].end 482.97659375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 483.16221875
transcript.pyannote[62].end 487.26284375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 487.36409375
transcript.pyannote[63].end 488.81534375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 489.25409375
transcript.pyannote[64].end 490.03034375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 490.03034375
transcript.pyannote[65].end 490.75596875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 491.44784375
transcript.pyannote[66].end 491.46471875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 491.46471875
transcript.pyannote[67].end 512.96346875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 513.55409375
transcript.pyannote[68].end 513.57096875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 513.57096875
transcript.pyannote[69].end 513.94221875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 513.94221875
transcript.pyannote[70].end 513.97596875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 513.97596875
transcript.pyannote[71].end 514.04346875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 514.12784375
transcript.pyannote[72].end 516.99659375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 517.46909375
transcript.pyannote[73].end 522.19409375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 522.71721875
transcript.pyannote[74].end 529.34909375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 529.92284375
transcript.pyannote[75].end 530.90159375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 531.96471875
transcript.pyannote[76].end 536.53784375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 537.21284375
transcript.pyannote[77].end 542.03909375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 542.78159375
transcript.pyannote[78].end 544.62096875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 545.05971875
transcript.pyannote[79].end 546.91596875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 547.47284375
transcript.pyannote[80].end 551.70846875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 552.55221875
transcript.pyannote[81].end 554.72909375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 555.10034375
transcript.pyannote[82].end 562.20471875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 562.99784375
transcript.pyannote[83].end 564.61784375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 564.87096875
transcript.pyannote[84].end 566.92971875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 567.03096875
transcript.pyannote[85].end 567.57096875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 567.62159375
transcript.pyannote[86].end 573.35909375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 573.62909375
transcript.pyannote[87].end 576.54846875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 577.07159375
transcript.pyannote[88].end 578.38784375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 579.38346875
transcript.pyannote[89].end 586.42034375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 587.12909375
transcript.pyannote[90].end 588.76596875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 589.49159375
transcript.pyannote[91].end 595.12784375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 595.68471875
transcript.pyannote[92].end 596.05596875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 596.54534375
transcript.pyannote[93].end 599.26221875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 600.07221875
transcript.pyannote[94].end 604.98284375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 605.28659375
transcript.pyannote[95].end 634.71659375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 635.27346875
transcript.pyannote[96].end 635.29034375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 635.29034375
transcript.pyannote[97].end 642.34409375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 642.61409375
transcript.pyannote[98].end 643.15409375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 643.47471875
transcript.pyannote[99].end 645.61784375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 646.20846875
transcript.pyannote[100].end 651.22034375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 651.69284375
transcript.pyannote[101].end 653.05971875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 653.49846875
transcript.pyannote[102].end 658.64534375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 659.15159375
transcript.pyannote[103].end 660.01221875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 660.33284375
transcript.pyannote[104].end 661.58159375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 662.44221875
transcript.pyannote[105].end 662.84721875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 663.57284375
transcript.pyannote[106].end 669.93471875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 670.39034375
transcript.pyannote[107].end 673.09034375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 673.22534375
transcript.pyannote[108].end 675.25034375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 675.57096875
transcript.pyannote[109].end 676.56659375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 677.41034375
transcript.pyannote[110].end 678.59159375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 678.82784375
transcript.pyannote[111].end 682.08471875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 682.13534375
transcript.pyannote[112].end 683.58659375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 683.97471875
transcript.pyannote[113].end 685.17284375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 685.78034375
transcript.pyannote[114].end 687.23159375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 687.40034375
transcript.pyannote[115].end 688.32846875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 688.93596875
transcript.pyannote[116].end 690.48846875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 691.24784375
transcript.pyannote[117].end 696.58034375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 697.50846875
transcript.pyannote[118].end 698.97659375
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 699.78659375
transcript.pyannote[119].end 700.22534375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 700.66409375
transcript.pyannote[120].end 703.85346875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 704.07284375
transcript.pyannote[121].end 705.86159375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 706.30034375
transcript.pyannote[122].end 707.44784375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 707.80221875
transcript.pyannote[123].end 712.71284375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 712.94909375
transcript.pyannote[124].end 714.92346875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 715.04159375
transcript.pyannote[125].end 719.42909375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 719.66534375
transcript.pyannote[126].end 728.18721875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 728.60909375
transcript.pyannote[127].end 732.38909375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 732.64221875
transcript.pyannote[128].end 738.31221875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 738.81846875
transcript.pyannote[129].end 741.90659375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 742.02471875
transcript.pyannote[130].end 747.01971875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 747.61034375
transcript.pyannote[131].end 751.94721875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 752.57159375
transcript.pyannote[132].end 757.48221875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 757.56659375
transcript.pyannote[133].end 760.11471875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 760.33409375
transcript.pyannote[134].end 769.34534375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 769.75034375
transcript.pyannote[135].end 770.45909375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 771.06659375
transcript.pyannote[136].end 776.02784375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 776.02784375
transcript.pyannote[137].end 776.26409375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 776.61846875
transcript.pyannote[138].end 776.63534375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 776.63534375
transcript.pyannote[139].end 779.63909375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 780.14534375
transcript.pyannote[140].end 805.35659375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 805.42409375
transcript.pyannote[141].end 825.74159375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 826.26471875
transcript.pyannote[142].end 839.88284375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 840.43971875
transcript.pyannote[143].end 840.65909375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 840.94596875
transcript.pyannote[144].end 849.29909375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 849.78846875
transcript.pyannote[145].end 855.42471875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 855.49221875
transcript.pyannote[146].end 857.16284375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 857.66909375
transcript.pyannote[147].end 863.17034375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 863.79471875
transcript.pyannote[148].end 865.41471875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 865.58346875
transcript.pyannote[149].end 870.47721875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 871.11846875
transcript.pyannote[150].end 880.26471875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 880.70346875
transcript.pyannote[151].end 887.06534375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 887.97659375
transcript.pyannote[152].end 896.73471875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 897.12284375
transcript.pyannote[153].end 897.17346875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 897.51096875
transcript.pyannote[154].end 906.65721875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 906.94409375
transcript.pyannote[155].end 909.84659375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 910.30221875
transcript.pyannote[156].end 918.35159375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 918.52034375
transcript.pyannote[157].end 920.54534375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 920.54534375
transcript.pyannote[158].end 920.56221875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 920.91659375
transcript.pyannote[159].end 921.03471875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 921.03471875
transcript.pyannote[160].end 943.71471875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 944.08596875
transcript.pyannote[161].end 944.76096875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 944.76096875
transcript.pyannote[162].end 944.77784375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 945.21659375
transcript.pyannote[163].end 945.23346875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 945.23346875
transcript.pyannote[164].end 946.17846875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 946.27971875
transcript.pyannote[165].end 949.94159375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 950.32971875
transcript.pyannote[166].end 957.83909375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 958.39596875
transcript.pyannote[167].end 960.99471875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 960.99471875
transcript.pyannote[168].end 970.83284375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 961.02846875
transcript.pyannote[169].end 961.56846875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 970.98471875
transcript.pyannote[170].end 976.85721875
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 977.14409375
transcript.pyannote[171].end 987.37034375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 987.92721875
transcript.pyannote[172].end 996.07784375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 996.43221875
transcript.pyannote[173].end 1008.76784375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 1008.91971875
transcript.pyannote[174].end 1014.77534375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 1015.23096875
transcript.pyannote[175].end 1019.78721875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 1019.95596875
transcript.pyannote[176].end 1023.63471875
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 1024.39409375
transcript.pyannote[177].end 1027.26284375
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 1027.49909375
transcript.pyannote[178].end 1037.43846875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 1037.92784375
transcript.pyannote[179].end 1044.88034375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 1045.40346875
transcript.pyannote[180].end 1045.97721875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 1045.97721875
transcript.pyannote[181].end 1046.98971875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 1047.59721875
transcript.pyannote[182].end 1050.87096875
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 1051.61346875
transcript.pyannote[183].end 1056.54096875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 1056.57471875
transcript.pyannote[184].end 1059.88221875
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 1061.09721875
transcript.pyannote[185].end 1067.71221875
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 1068.18471875
transcript.pyannote[186].end 1071.76221875
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 1072.09971875
transcript.pyannote[187].end 1073.61846875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 1074.07409375
transcript.pyannote[188].end 1077.66846875
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 1077.90471875
transcript.pyannote[189].end 1080.06471875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 1080.62159375
transcript.pyannote[190].end 1087.70909375
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 1087.77659375
transcript.pyannote[191].end 1089.05909375
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 1089.51471875
transcript.pyannote[192].end 1095.80909375
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 1096.31534375
transcript.pyannote[193].end 1098.67784375
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 1099.13346875
transcript.pyannote[194].end 1103.67284375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 1104.71909375
transcript.pyannote[195].end 1110.10221875
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 1110.64221875
transcript.pyannote[196].end 1119.33284375
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 1119.78846875
transcript.pyannote[197].end 1121.96534375
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 1122.16784375
transcript.pyannote[198].end 1124.12534375
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 1124.31096875
transcript.pyannote[199].end 1125.34034375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 1125.54284375
transcript.pyannote[200].end 1127.06159375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 1127.41596875
transcript.pyannote[201].end 1128.25971875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 1128.41159375
transcript.pyannote[202].end 1129.52534375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 1129.81221875
transcript.pyannote[203].end 1130.67284375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 1130.90909375
transcript.pyannote[204].end 1145.45534375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 1145.86034375
transcript.pyannote[205].end 1153.50471875
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 1153.85909375
transcript.pyannote[206].end 1156.27221875
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 1157.21721875
transcript.pyannote[207].end 1159.36034375
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 1160.03534375
transcript.pyannote[208].end 1163.35971875
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 1163.96721875
transcript.pyannote[209].end 1167.03846875
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 1167.03846875
transcript.pyannote[210].end 1168.28721875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 1168.81034375
transcript.pyannote[211].end 1174.69971875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 1174.95284375
transcript.pyannote[212].end 1177.43346875
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 1177.72034375
transcript.pyannote[213].end 1181.92221875
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 1182.07409375
transcript.pyannote[214].end 1196.09721875
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 1196.58659375
transcript.pyannote[215].end 1201.69971875
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 1202.07096875
transcript.pyannote[216].end 1203.82596875
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 1204.24784375
transcript.pyannote[217].end 1209.71534375
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 1210.00221875
transcript.pyannote[218].end 1214.72721875
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 1214.98034375
transcript.pyannote[219].end 1219.06409375
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 1220.78534375
transcript.pyannote[220].end 1226.72534375
transcript.whisperx[0].start 4.625
transcript.whisperx[0].end 7.802
transcript.whisperx[0].text 主席好請提名人請劉備提名人答詢
transcript.whisperx[1].start 20.188
transcript.whisperx[1].end 40.746
transcript.whisperx[1].text 首先我詳細看了你的個人簡介剛才也聽了你的口頭報告發現被提名的你其實是有曾經擔任過臺灣人權促進會會長及執行的委員長達15年的時間你長期以義務人權工作者的身份參與各項爭取人權自由的社會運動對吧是
transcript.whisperx[2].start 43.601
transcript.whisperx[2].end 71.958
transcript.whisperx[2].text 那很好我對於你積極參與公共的事務還有推動人權運動守護臺灣民主的熱忱還有這種勇氣其實是很欽佩的尤其是勇於對外發言和爭辯時事的勇氣好接下來我要請問一下提名人你在簡介中提及你很感謝過去20多年來在各種社會運動領域和你一起為臺灣民主憲政及人權價值奮鬥的社運的夥伴
transcript.whisperx[3].start 72.498
transcript.whisperx[3].end 100.996
transcript.whisperx[3].text 你認為這些夥伴們是你多年來學習如何面對有權有勢者的重要啟發者對吧是我發現這幾年來的人權社會運動果然是讓我見識到參與社會的運動者什麼才是叫做真正的如何面對有權有勢者的向上管理的能力據說你是陳社生綠出身所以那你跟民進黨生綠高層關係真的很好
transcript.whisperx[4].start 101.716
transcript.whisperx[4].end 103.257
transcript.whisperx[4].text 所以因為我從你這幾年的表現還有新聞上面披露的報導發現你為了向綠營執政的權力核心靠攏你的對外大炮的攻擊不論是面對當時的總統打菜
transcript.whisperx[5].start 117.247
transcript.whisperx[5].end 117.487
transcript.whisperx[5].text 蔡英文執政時﹖
transcript.whisperx[6].start 150.629
transcript.whisperx[6].end 172.402
transcript.whisperx[6].text 致得注意的是你還擔任過生理學者的論證社團的陳社社長這樣你的個性非常的鮮明數次還登上了新聞的版面所以我想這是不是表示你對許多政治改革還有時事上面的議題都是非常有自己的看法和意見
transcript.whisperx[7].start 173.903
transcript.whisperx[7].end 191.542
transcript.whisperx[7].text 舉例2017年的時候當時的蔡英文總統執政的時候你曾經痛批執政黨的前瞻基礎建設每年度都是舉債的額度不受公共債務法的限制你批評認為這根本就是嚴重的違憲危機和財政的危機2019年前總統
transcript.whisperx[8].start 195.987
transcript.whisperx[8].end 214.095
transcript.whisperx[8].text 蔡英文身陷博士論文風波的時候那時候你還公開質疑博士論文的紙質的問題甚至還認為外來的論文不應該放在我國的國家圖書館網站的上面所以你覺得蔡英文的論文有問題你覺得有還是沒有
transcript.whisperx[9].start 215.255
transcript.whisperx[9].end 234.023
transcript.whisperx[9].text 我想跟委員說明一下依照我們現行的辦法的確我們國圖的碩博士論文是收錄國內大學院校的碩博士論文不是收錄國外的大學院校的碩博士論文那你覺得他的論文有沒有問題呢
transcript.whisperx[10].start 235.043
transcript.whisperx[10].end 260.023
transcript.whisperx[10].text 我從來沒有說過蔡總統的論文有問題因為我沒有任何的證據可以說他的論文有問題我想這個是一個報導上面的極大的誤解好那我再問你新冠疫情的時候你也痛批現在的政務委員就是前衛福部長陳時中防疫不力那你覺得台灣的防疫做得不好嗎
transcript.whisperx[11].start 261.445
transcript.whisperx[11].end 275.46
transcript.whisperx[11].text 臺灣的防疫不能說做得不好但是身為一個長期的人權工作者我認為在防疫的同時應該顧及到人權的保障而當時有非常多的
transcript.whisperx[12].start 276.081
transcript.whisperx[12].end 277.502
transcript.whisperx[12].text 李慧琼議員
transcript.whisperx[13].start 300.82
transcript.whisperx[13].end 321.074
transcript.whisperx[13].text 那在民進黨前新竹市長林智堅還有前國安局局長陳明通他們有陷入論文的抄襲的風波中那你也都砲轟痛刺所以那我想請問一下被提名人你現在還是身為臺大國發所的所長那你認為林智堅跟陳明通的論文是不是有抄襲的問題呢?
transcript.whisperx[14].start 322.796
transcript.whisperx[14].end 332.665
transcript.whisperx[14].text 我想這個已經透過臺大的審定通過了我想這個臺大審定結果就是我的意見
transcript.whisperx[15].start 334.404
transcript.whisperx[15].end 362.262
transcript.whisperx[15].text 今年5月30號你從上午到晚間連續發了7篇文嘛批評執政黨王毅川就是現在我們剛新上任的立委說他所利用基地台人流分析的行為知道太多那你轉接相關的新聞並且提出了8點質疑還人聲攻擊說蠢到爆表的地步這真的是你的真心話嗎是這些都是我的真心話我身為一個長期研究資訊法治的學者
transcript.whisperx[16].start 362.822
transcript.whisperx[16].end 378.845
transcript.whisperx[16].text 我認為我們在所謂的資料取得這方面的確有相當不充分的地方以至於有辦法取得資料的人有太多可以上下其手的機會這是不應該的這對整個國家的治理
transcript.whisperx[17].start 380.434
transcript.whisperx[17].end 400.022
transcript.whisperx[17].text 政黨之間的公平競爭人民的隱私權保障都是不利的做法那你在黨產條例釋憲案中擔任專家學者提供鑑定的意見那你認為黨產條例規定不違反法律禁止所及既往的原則比例與原則所以你主張黨產條例合憲對吧是
transcript.whisperx[18].start 403.688
transcript.whisperx[18].end 411.265
transcript.whisperx[18].text 你也曾經擔任過軍改釋憲案的鑑定人那你認為聯金制度需要有調整的可能性是不是這樣
transcript.whisperx[19].start 412.96
transcript.whisperx[19].end 416.103
transcript.whisperx[19].text 報告委員,我想我是一個從來都沒有特定政黨黨籍的人那我所有的評論基本上都是根據我作為一個法學研究者身為一個知識分子
transcript.whisperx[20].start 440.137
transcript.whisperx[20].end 452.908
transcript.whisperx[20].text 所提出來的對於每一個個案的見解這些所謂的貼文或這些見解事實上在我被提名大法官之後我一則都沒有刪
transcript.whisperx[21].start 454.301
transcript.whisperx[21].end 478.172
transcript.whisperx[21].text 我呢所有的講法基本上都有一句我也對我所講過的每一句話每一個見解都負責那我覺得這樣子的基本特質其實呢對於一個即將擔任大法官的人來說其實是非常必要的因為呢大法官是需要根據法律獨立審判
transcript.whisperx[22].start 479.332
transcript.whisperx[22].end 490.36
transcript.whisperx[22].text 根據憲法保障人民權利的意志.不管執政者是誰.不管誰在朝誰在野.都必須要努力的監督他們.
transcript.whisperx[23].start 493
transcript.whisperx[23].end 511.749
transcript.whisperx[23].text 我發現你的個人的理想性非常的強烈那你的個人心證是非常的鮮明的所以我想請教一下就是未來如果你擔任大法官的時候依照你這樣的個性肯定會按耐不住還是會想要不斷的想要對外發言那你還是會堅持當自己繼續對外發言嗎
transcript.whisperx[24].start 518.233
transcript.whisperx[24].end 529.099
transcript.whisperx[24].text 當大法官跟當學者是兩個完全不一樣的角色大法官必須受到法官不予的拘束因為他也是依照法律獨立審判的法官
transcript.whisperx[25].start 532.194
transcript.whisperx[25].end 551.508
transcript.whisperx[25].text 講了太多話基本上會有不當揭露心證的問題所以呢這些問題我將來呢如果當了大法官之後我會避免我必須要承認的是說從我的養成過程裡面我的確有自己的價值取向跟基本信仰
transcript.whisperx[26].start 552.589
transcript.whisperx[26].end 575.856
transcript.whisperx[26].text 但是呢當了大法官之後這些價值取向跟基本信仰就像我回給每一個黨團的問卷裡面所說的都必須要在呢我國的憲政秩序跟憲法所保障的各式各樣的基本價值跟人權理念底下呢去重新做一個過濾跟彙整
transcript.whisperx[27].start 579.417
transcript.whisperx[27].end 594.694
transcript.whisperx[27].text 必須要用合乎我國憲政秩序跟基本價值理念的方式去展現出來所以這是一個必須要清楚的讓自己變成一個適當的憲法法庭
transcript.whisperx[28].start 595.674
transcript.whisperx[28].end 598.496
transcript.whisperx[28].text 你認為在那麼多深綠的人權運動.還有台獨運動的前面.你自己何德何能能夠被賴清的總統.
transcript.whisperx[29].start 616.949
transcript.whisperx[29].end 634.508
transcript.whisperx[29].text 提名擔任大法官.這是不是你面對的有權有勢的向上管理.被酬庸的呢.否則依照你的學經歷.還有覺得自己有學術上面權威的地位.還有傲人的資格足以擔任大法官一職呢.
transcript.whisperx[30].start 635.605
transcript.whisperx[30].end 660.982
transcript.whisperx[30].text 我要跟委員報告的是說我其實呢從來沒有對賴清德總統有任何的向上管理我跟他呢唯一的接觸其實呢就是說真正這個官方的接觸大概有以下幾點第一個是以前賴總統在擔任民進黨的立法委員的時候當時呢台灣人權促進會
transcript.whisperx[31].start 663.824
transcript.whisperx[31].end 688.061
transcript.whisperx[31].text 發起一個所謂的反全民按耐指紋領身份證的這樣的一個運動當時我跟顧立雄律師李念祖律師三個人擔任過由賴總統他們的立法院裡面的少數立委所發起的一個釋憲案我在那個案子裡面擔任呢
transcript.whisperx[32].start 689.712
transcript.whisperx[32].end 712.371
transcript.whisperx[32].text 蘇宋代理人而當時基本上對抗的其實就是民進黨的行政院另外一個有過接觸的我想這個是可能是賴總統很難過的經驗我不知道就是他在擔任
transcript.whisperx[33].start 713.573
transcript.whisperx[33].end 727.714
transcript.whisperx[33].text 行政院院長期間大概就是2016年、17年、18年那段時間那個委員你可以看一下我其實對賴總統的施政當時行政院的施政其實有非常多的批評
transcript.whisperx[34].start 729.816
transcript.whisperx[34].end 746.83
transcript.whisperx[34].text 我不知道賴總統為什麼提名我但是我想他對於我這兩件事情大概印象很深刻吧另外就像剛剛我所報告的我向來都是以科技人權議題作為我的研究領域
transcript.whisperx[35].start 747.671
transcript.whisperx[35].end 769.214
transcript.whisperx[35].text 我向來也非常忠於我自己的專業知識那另外就是說我最近幾年其實對於人工智慧的國際組織的參與可能呢比較多一點那這個其實是現在台灣社會不管是公部門或者是私部門都非常需要的
transcript.whisperx[36].start 769.855
transcript.whisperx[36].end 790.166
transcript.whisperx[36].text 所以或許是這樣的原因但是我無法預測也無法猜測謝謝那你剛才說到你是AI人工智慧的法學專家那我想問一下AI成為認知作戰的利器請問一下你個人對於最近中共在
transcript.whisperx[37].start 790.686
transcript.whisperx[37].end 802.812
transcript.whisperx[37].text 接連兩次的聯合立見的軍演期間:有消息指出:國台辦指導在陸的臺親及陸籍人士:在臉書上面頻繁的創建異常的帳號:還有多組的社團:對臺進行認知戰:
transcript.whisperx[38].start 807.654
transcript.whisperx[38].end 824.628
transcript.whisperx[38].text 近3個月以來發現有154組的臉書帳號及40組的社團有明顯的異常的態樣那因屬於集團式的操作那你個人如何看待這個國安問題呢因為我們的國安單位到現在還不願意對外公開證實
transcript.whisperx[39].start 826.369
transcript.whisperx[39].end 839.336
transcript.whisperx[39].text 是的,我想這不僅是台灣的國安問題而已對全世界每一個國家尤其是處在對抗威權體制的第一線國家來說基本上都是嚴重的問題
transcript.whisperx[40].start 842.315
transcript.whisperx[40].end 870.144
transcript.whisperx[40].text 這些事情的確都存在國際上也有很多的機構在合作處理這樣的事情我覺得我們的國安單位或許可以更積極一點來處理這樣的事情不過在這裡我想必須要提醒大家的事尤其提醒立法院的事要處理這些問題基本上都不免會涉及到人民的基本權利保障的事
transcript.whisperx[41].start 870.964
transcript.whisperx[41].end 871.725
transcript.whisperx[41].text 法律保留原則
transcript.whisperx[42].start 889.059
transcript.whisperx[42].end 903.273
transcript.whisperx[42].text 法律明確性原則等等等這些基本的要求來檢視這樣子的立法跟措施我想這個就是一個立法部門或者是政治部門的一個
transcript.whisperx[43].start 904.955
transcript.whisperx[43].end 919.929
transcript.whisperx[43].text 政策形成空間的問題以後大法官能夠把關的就是到底在所謂的公共利益的保護跟人民權利的保護上面應該如何做成適當的平衡跟協調
transcript.whisperx[44].start 920.97
transcript.whisperx[44].end 943.499
transcript.whisperx[44].text 好那照你剛才這樣講那現在AI的技術確實是一個產業還有為大家生活帶來很多的便利但是同時也是一個雙面刃所以AI技術加速新型犯罪與認知作戰那你如果說像請教一下就是如果中共用AI對台灣認知作戰這樣你會不會擔心呢
transcript.whisperx[45].start 944.299
transcript.whisperx[45].end 970.17
transcript.whisperx[45].text 我想我是擔心的我是擔心的但是我要更加的強調就是說這樣子的作戰如何去反抗或如何進一步的去反擊基本上必須要有立法部門跟行政部門的共同工作那我剛才講的這些就是說但你會覺得說這樣是不是有跟中國有一點裡應外合的嫌疑還是我們台灣根本沒有能力查出來呢依照你的專業
transcript.whisperx[46].start 972.092
transcript.whisperx[46].end 987.151
transcript.whisperx[46].text 我覺得台灣並不是沒有能力查出來但是因為科技變化得太快所以有時候不管立法部門或行政部門沒有辦法真正跟得上
transcript.whisperx[47].start 988.452
transcript.whisperx[47].end 1013.626
transcript.whisperx[47].text 再加上立法部門跟行政部門之間的共識可能不是很高所以其實就變得更加的困難至於有沒有理運外合這些事情我覺得就必須要看我們的法律我們的政策上面要怎麼樣界定這些事不管如何如果要處罰的話Again 我要講的是說必須要有清楚的法律來做這樣的處理
transcript.whisperx[48].start 1017.169
transcript.whisperx[48].end 1035.329
transcript.whisperx[48].text 我們在保護國家的同時可能也沒有辦法去冤枉任何一個台灣中華民國的國民說他如何如何必須要有清楚的法律才能夠界定基本上誰是有問題的誰應該受到什麼樣的處罰
transcript.whisperx[49].start 1038.307
transcript.whisperx[49].end 1059.559
transcript.whisperx[49].text 最後一個問題我想請教一下就是你對廢除死刑究竟是支持還是反對請明確的表態跟委員報告我曾經擔任過臺灣人權促進會的會長我到目前為止我個人的理念向來都是我們應該走向一個沒有死刑的國家
transcript.whisperx[50].start 1061.604
transcript.whisperx[50].end 1079.417
transcript.whisperx[50].text 但是因為憲判制第8號其實已經做了死刑核限的判決雖然我個人對於這個死刑核限的判決感到非常的遺憾但是也覺得裡面還有一些沒有講清楚的地方
transcript.whisperx[51].start 1081.078
transcript.whisperx[51].end 1103.048
transcript.whisperx[51].text 應該要處理的地方比如說我在問卷回答裡面特別強調的我們這個國家這麼多年來想要廢除死刑甚至政府部門也做了一些努力但是非常可惜的是我們在被害人保護的這個部分做得不夠好不夠多
transcript.whisperx[52].start 1104.755
transcript.whisperx[52].end 1126.584
transcript.whisperx[52].text 包括被害人家屬如何參加訴訟程序.獲得一個舒緩.我覺得這個部分都是做得不夠好的.事實上我過去在社運圈裡面.在處理廢死的相關議題的時候.我們也花了很多的力氣.跟被害人.跟被害人家屬.
transcript.whisperx[53].start 1127.484
transcript.whisperx[53].end 1156.061
transcript.whisperx[53].text 以及政府部門做了非常多的溝通跟倡議的工作我們現在僅有的這些法律規定保護被害人家屬的法律規定坦白講很多都是我們在民間團體的時候去倡議出來的那我覺得政府應該負擔更多立法部門應該負擔更多保護被害人家屬的工作
transcript.whisperx[54].start 1157.267
transcript.whisperx[54].end 1159.209
transcript.whisperx[54].text 有關今年9月20號大法官釋憲113年的憲判制第8號的判決主文
transcript.whisperx[55].start 1182.791
transcript.whisperx[55].end 1195.946
transcript.whisperx[55].text 理由是說明在國民法官案件中是指職業法官以自決也就是不包括素人法官我想聽聽看你這樣對這個有什麼看法
transcript.whisperx[56].start 1197.027
transcript.whisperx[56].end 1197.227
transcript.whisperx[56].text 謝謝林委員
transcript.whisperx[57].start 1223.239
transcript.whisperx[57].end 1225.964
transcript.whisperx[57].text 謝謝被提名人接下來請郭育秦委員詢問