iVOD / 163533

Field Value
IVOD_ID 163533
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163533
日期 2025-08-15
會議資料.會議代碼 院會-11-3-25
會議資料.會議代碼:str 第11屆第3會期第25次會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 25
會議資料.種類 院會
會議資料.標題 第11屆第3會期第25次會議
影片種類 Clip
開始時間 2025-08-15T15:35:37+08:00
結束時間 2025-08-15T15:51:34+08:00
影片長度 00:15:57
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/feafe23bd7168de63d814bedca50e4de18cf3659852ed25088e117da0b2e7151ead3c9815bd815b75ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 李坤城
委員發言時間 15:35:37 - 15:51:34
會議時間 2025-08-15T09:00:00+08:00
會議名稱 第11屆第3會期第25次會議(事由:一、行政院院長提出「新世代打擊詐欺策略行動綱領2.0執行成效」專案報告並備質詢(8月15日)。二、行政院院長提出「全額撥付114年度對地方政府之一般性補助款及原住民族地區基本設施維持費等相關事宜」專案報告並備質詢(8月19日)。)
transcript.pyannote[0].speaker SPEAKER_04
transcript.pyannote[0].start 1.33034375
transcript.pyannote[0].end 3.47346875
transcript.pyannote[1].speaker SPEAKER_04
transcript.pyannote[1].start 3.77721875
transcript.pyannote[1].end 5.29596875
transcript.pyannote[2].speaker SPEAKER_04
transcript.pyannote[2].start 14.30721875
transcript.pyannote[2].end 15.28596875
transcript.pyannote[3].speaker SPEAKER_04
transcript.pyannote[3].start 15.77534375
transcript.pyannote[3].end 17.09159375
transcript.pyannote[4].speaker SPEAKER_04
transcript.pyannote[4].start 17.29409375
transcript.pyannote[4].end 27.25034375
transcript.pyannote[5].speaker SPEAKER_04
transcript.pyannote[5].start 27.48659375
transcript.pyannote[5].end 32.71784375
transcript.pyannote[6].speaker SPEAKER_04
transcript.pyannote[6].start 33.08909375
transcript.pyannote[6].end 45.35721875
transcript.pyannote[7].speaker SPEAKER_04
transcript.pyannote[7].start 45.45846875
transcript.pyannote[7].end 49.59284375
transcript.pyannote[8].speaker SPEAKER_04
transcript.pyannote[8].start 49.81221875
transcript.pyannote[8].end 56.41034375
transcript.pyannote[9].speaker SPEAKER_05
transcript.pyannote[9].start 57.23721875
transcript.pyannote[9].end 60.02159375
transcript.pyannote[10].speaker SPEAKER_05
transcript.pyannote[10].start 60.44346875
transcript.pyannote[10].end 63.27846875
transcript.pyannote[11].speaker SPEAKER_05
transcript.pyannote[11].start 63.58221875
transcript.pyannote[11].end 65.18534375
transcript.pyannote[12].speaker SPEAKER_05
transcript.pyannote[12].start 65.43846875
transcript.pyannote[12].end 65.87721875
transcript.pyannote[13].speaker SPEAKER_05
transcript.pyannote[13].start 66.48471875
transcript.pyannote[13].end 67.64909375
transcript.pyannote[14].speaker SPEAKER_05
transcript.pyannote[14].start 68.05409375
transcript.pyannote[14].end 71.59784375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 72.01971875
transcript.pyannote[15].end 72.64409375
transcript.pyannote[16].speaker SPEAKER_05
transcript.pyannote[16].start 72.13784375
transcript.pyannote[16].end 84.59159375
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 73.62284375
transcript.pyannote[17].end 74.07846875
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 74.87159375
transcript.pyannote[18].end 78.28034375
transcript.pyannote[19].speaker SPEAKER_05
transcript.pyannote[19].start 84.92909375
transcript.pyannote[19].end 85.85721875
transcript.pyannote[20].speaker SPEAKER_05
transcript.pyannote[20].start 86.19471875
transcript.pyannote[20].end 89.82284375
transcript.pyannote[21].speaker SPEAKER_05
transcript.pyannote[21].start 90.14346875
transcript.pyannote[21].end 98.68221875
transcript.pyannote[22].speaker SPEAKER_04
transcript.pyannote[22].start 90.85221875
transcript.pyannote[22].end 91.00409375
transcript.pyannote[23].speaker SPEAKER_05
transcript.pyannote[23].start 99.00284375
transcript.pyannote[23].end 100.52159375
transcript.pyannote[24].speaker SPEAKER_05
transcript.pyannote[24].start 100.79159375
transcript.pyannote[24].end 103.17096875
transcript.pyannote[25].speaker SPEAKER_05
transcript.pyannote[25].start 103.62659375
transcript.pyannote[25].end 104.63909375
transcript.pyannote[26].speaker SPEAKER_05
transcript.pyannote[26].start 104.97659375
transcript.pyannote[26].end 106.07346875
transcript.pyannote[27].speaker SPEAKER_05
transcript.pyannote[27].start 106.25909375
transcript.pyannote[27].end 107.47409375
transcript.pyannote[28].speaker SPEAKER_05
transcript.pyannote[28].start 108.04784375
transcript.pyannote[28].end 109.83659375
transcript.pyannote[29].speaker SPEAKER_05
transcript.pyannote[29].start 110.35971875
transcript.pyannote[29].end 111.69284375
transcript.pyannote[30].speaker SPEAKER_05
transcript.pyannote[30].start 112.23284375
transcript.pyannote[30].end 113.51534375
transcript.pyannote[31].speaker SPEAKER_04
transcript.pyannote[31].start 112.63784375
transcript.pyannote[31].end 113.39721875
transcript.pyannote[32].speaker SPEAKER_04
transcript.pyannote[32].start 113.51534375
transcript.pyannote[32].end 113.73471875
transcript.pyannote[33].speaker SPEAKER_05
transcript.pyannote[33].start 113.73471875
transcript.pyannote[33].end 113.78534375
transcript.pyannote[34].speaker SPEAKER_04
transcript.pyannote[34].start 113.78534375
transcript.pyannote[34].end 113.90346875
transcript.pyannote[35].speaker SPEAKER_05
transcript.pyannote[35].start 113.90346875
transcript.pyannote[35].end 114.42659375
transcript.pyannote[36].speaker SPEAKER_04
transcript.pyannote[36].start 113.92034375
transcript.pyannote[36].end 116.82284375
transcript.pyannote[37].speaker SPEAKER_04
transcript.pyannote[37].start 117.29534375
transcript.pyannote[37].end 118.24034375
transcript.pyannote[38].speaker SPEAKER_04
transcript.pyannote[38].start 118.59471875
transcript.pyannote[38].end 134.23784375
transcript.pyannote[39].speaker SPEAKER_04
transcript.pyannote[39].start 134.55846875
transcript.pyannote[39].end 137.59596875
transcript.pyannote[40].speaker SPEAKER_04
transcript.pyannote[40].start 137.95034375
transcript.pyannote[40].end 138.77721875
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 138.96284375
transcript.pyannote[41].end 143.41784375
transcript.pyannote[42].speaker SPEAKER_05
transcript.pyannote[42].start 143.97471875
transcript.pyannote[42].end 145.40909375
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 144.68346875
transcript.pyannote[43].end 146.35409375
transcript.pyannote[44].speaker SPEAKER_05
transcript.pyannote[44].start 146.35409375
transcript.pyannote[44].end 157.37346875
transcript.pyannote[45].speaker SPEAKER_05
transcript.pyannote[45].start 157.67721875
transcript.pyannote[45].end 161.54159375
transcript.pyannote[46].speaker SPEAKER_05
transcript.pyannote[46].start 162.06471875
transcript.pyannote[46].end 169.79346875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 167.16096875
transcript.pyannote[47].end 167.26221875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 169.08471875
transcript.pyannote[48].end 169.11846875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 169.25346875
transcript.pyannote[49].end 170.02971875
transcript.pyannote[50].speaker SPEAKER_04
transcript.pyannote[50].start 170.29971875
transcript.pyannote[50].end 170.31659375
transcript.pyannote[51].speaker SPEAKER_05
transcript.pyannote[51].start 170.31659375
transcript.pyannote[51].end 171.88596875
transcript.pyannote[52].speaker SPEAKER_04
transcript.pyannote[52].start 171.88596875
transcript.pyannote[52].end 171.95346875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 172.25721875
transcript.pyannote[53].end 172.72971875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 172.86471875
transcript.pyannote[54].end 178.06221875
transcript.pyannote[55].speaker SPEAKER_04
transcript.pyannote[55].start 176.05409375
transcript.pyannote[55].end 176.39159375
transcript.pyannote[56].speaker SPEAKER_04
transcript.pyannote[56].start 177.31971875
transcript.pyannote[56].end 177.96096875
transcript.pyannote[57].speaker SPEAKER_04
transcript.pyannote[57].start 178.04534375
transcript.pyannote[57].end 178.31534375
transcript.pyannote[58].speaker SPEAKER_05
transcript.pyannote[58].start 178.06221875
transcript.pyannote[58].end 178.11284375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 178.11284375
transcript.pyannote[59].end 178.31534375
transcript.pyannote[60].speaker SPEAKER_05
transcript.pyannote[60].start 178.31534375
transcript.pyannote[60].end 178.70346875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 178.70346875
transcript.pyannote[61].end 178.93971875
transcript.pyannote[62].speaker SPEAKER_04
transcript.pyannote[62].start 178.70346875
transcript.pyannote[62].end 179.22659375
transcript.pyannote[63].speaker SPEAKER_05
transcript.pyannote[63].start 178.93971875
transcript.pyannote[63].end 187.30971875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 179.22659375
transcript.pyannote[64].end 179.95221875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 180.71159375
transcript.pyannote[65].end 182.06159375
transcript.pyannote[66].speaker SPEAKER_04
transcript.pyannote[66].start 182.06159375
transcript.pyannote[66].end 182.43284375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 182.43284375
transcript.pyannote[67].end 182.46659375
transcript.pyannote[68].speaker SPEAKER_04
transcript.pyannote[68].start 182.46659375
transcript.pyannote[68].end 182.48346875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 182.48346875
transcript.pyannote[69].end 182.55096875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 185.55471875
transcript.pyannote[70].end 185.90909375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 187.73159375
transcript.pyannote[71].end 194.80221875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 194.85284375
transcript.pyannote[72].end 212.21721875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 198.80159375
transcript.pyannote[73].end 199.03784375
transcript.pyannote[74].speaker SPEAKER_04
transcript.pyannote[74].start 200.48909375
transcript.pyannote[74].end 200.57346875
transcript.pyannote[75].speaker SPEAKER_04
transcript.pyannote[75].start 200.75909375
transcript.pyannote[75].end 200.82659375
transcript.pyannote[76].speaker SPEAKER_04
transcript.pyannote[76].start 206.86784375
transcript.pyannote[76].end 209.93909375
transcript.pyannote[77].speaker SPEAKER_04
transcript.pyannote[77].start 211.55909375
transcript.pyannote[77].end 213.88784375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 213.98909375
transcript.pyannote[78].end 217.93784375
transcript.pyannote[79].speaker SPEAKER_04
transcript.pyannote[79].start 217.06034375
transcript.pyannote[79].end 217.85346875
transcript.pyannote[80].speaker SPEAKER_04
transcript.pyannote[80].start 217.93784375
transcript.pyannote[80].end 224.29971875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 223.97909375
transcript.pyannote[81].end 232.36596875
transcript.pyannote[82].speaker SPEAKER_04
transcript.pyannote[82].start 231.06659375
transcript.pyannote[82].end 235.31909375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 234.15471875
transcript.pyannote[83].end 254.30346875
transcript.pyannote[84].speaker SPEAKER_04
transcript.pyannote[84].start 238.00221875
transcript.pyannote[84].end 238.89659375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 243.23346875
transcript.pyannote[85].end 243.25034375
transcript.pyannote[86].speaker SPEAKER_04
transcript.pyannote[86].start 243.25034375
transcript.pyannote[86].end 243.73971875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 243.73971875
transcript.pyannote[87].end 244.41471875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 245.89971875
transcript.pyannote[88].end 245.95034375
transcript.pyannote[89].speaker SPEAKER_04
transcript.pyannote[89].start 251.53596875
transcript.pyannote[89].end 251.85659375
transcript.pyannote[90].speaker SPEAKER_04
transcript.pyannote[90].start 254.35409375
transcript.pyannote[90].end 259.73721875
transcript.pyannote[91].speaker SPEAKER_04
transcript.pyannote[91].start 259.97346875
transcript.pyannote[91].end 268.52909375
transcript.pyannote[92].speaker SPEAKER_04
transcript.pyannote[92].start 268.88346875
transcript.pyannote[92].end 274.03034375
transcript.pyannote[93].speaker SPEAKER_05
transcript.pyannote[93].start 274.03034375
transcript.pyannote[93].end 281.47221875
transcript.pyannote[94].speaker SPEAKER_04
transcript.pyannote[94].start 281.67471875
transcript.pyannote[94].end 284.56034375
transcript.pyannote[95].speaker SPEAKER_04
transcript.pyannote[95].start 284.62784375
transcript.pyannote[95].end 290.33159375
transcript.pyannote[96].speaker SPEAKER_04
transcript.pyannote[96].start 290.41596875
transcript.pyannote[96].end 290.98971875
transcript.pyannote[97].speaker SPEAKER_04
transcript.pyannote[97].start 291.25971875
transcript.pyannote[97].end 311.83034375
transcript.pyannote[98].speaker SPEAKER_04
transcript.pyannote[98].start 312.13409375
transcript.pyannote[98].end 330.84846875
transcript.pyannote[99].speaker SPEAKER_04
transcript.pyannote[99].start 331.08471875
transcript.pyannote[99].end 351.90846875
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 352.14471875
transcript.pyannote[100].end 359.16471875
transcript.pyannote[101].speaker SPEAKER_04
transcript.pyannote[101].start 359.33346875
transcript.pyannote[101].end 373.39034375
transcript.pyannote[102].speaker SPEAKER_04
transcript.pyannote[102].start 373.91346875
transcript.pyannote[102].end 376.56284375
transcript.pyannote[103].speaker SPEAKER_04
transcript.pyannote[103].start 376.61346875
transcript.pyannote[103].end 376.63034375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 376.63034375
transcript.pyannote[104].end 377.00159375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 377.27159375
transcript.pyannote[105].end 381.25409375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 381.62534375
transcript.pyannote[106].end 386.56971875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 386.92409375
transcript.pyannote[107].end 412.15221875
transcript.pyannote[108].speaker SPEAKER_04
transcript.pyannote[108].start 391.44659375
transcript.pyannote[108].end 392.91471875
transcript.pyannote[109].speaker SPEAKER_04
transcript.pyannote[109].start 393.85971875
transcript.pyannote[109].end 394.97346875
transcript.pyannote[110].speaker SPEAKER_04
transcript.pyannote[110].start 398.07846875
transcript.pyannote[110].end 398.41596875
transcript.pyannote[111].speaker SPEAKER_04
transcript.pyannote[111].start 402.78659375
transcript.pyannote[111].end 403.37721875
transcript.pyannote[112].speaker SPEAKER_04
transcript.pyannote[112].start 410.73471875
transcript.pyannote[112].end 417.43409375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 416.03346875
transcript.pyannote[113].end 416.15159375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 416.38784375
transcript.pyannote[114].end 428.79096875
transcript.pyannote[115].speaker SPEAKER_04
transcript.pyannote[115].start 421.45034375
transcript.pyannote[115].end 425.23034375
transcript.pyannote[116].speaker SPEAKER_04
transcript.pyannote[116].start 428.48721875
transcript.pyannote[116].end 431.50784375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 428.80784375
transcript.pyannote[117].end 428.85846875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 429.02721875
transcript.pyannote[118].end 429.07784375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 430.73159375
transcript.pyannote[119].end 431.03534375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 431.50784375
transcript.pyannote[120].end 443.82659375
transcript.pyannote[121].speaker SPEAKER_04
transcript.pyannote[121].start 432.14909375
transcript.pyannote[121].end 432.45284375
transcript.pyannote[122].speaker SPEAKER_04
transcript.pyannote[122].start 435.92909375
transcript.pyannote[122].end 436.28346875
transcript.pyannote[123].speaker SPEAKER_04
transcript.pyannote[123].start 443.60721875
transcript.pyannote[123].end 448.58534375
transcript.pyannote[124].speaker SPEAKER_04
transcript.pyannote[124].start 448.99034375
transcript.pyannote[124].end 455.92596875
transcript.pyannote[125].speaker SPEAKER_04
transcript.pyannote[125].start 456.22971875
transcript.pyannote[125].end 457.86659375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 457.86659375
transcript.pyannote[126].end 457.93409375
transcript.pyannote[127].speaker SPEAKER_04
transcript.pyannote[127].start 457.93409375
transcript.pyannote[127].end 458.86221875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 458.17034375
transcript.pyannote[128].end 462.22034375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 462.76034375
transcript.pyannote[129].end 462.77721875
transcript.pyannote[130].speaker SPEAKER_04
transcript.pyannote[130].start 462.77721875
transcript.pyannote[130].end 462.84471875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 462.84471875
transcript.pyannote[131].end 463.13159375
transcript.pyannote[132].speaker SPEAKER_04
transcript.pyannote[132].start 463.13159375
transcript.pyannote[132].end 463.18221875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 463.18221875
transcript.pyannote[133].end 463.19909375
transcript.pyannote[134].speaker SPEAKER_04
transcript.pyannote[134].start 463.53659375
transcript.pyannote[134].end 467.85659375
transcript.pyannote[135].speaker SPEAKER_04
transcript.pyannote[135].start 468.39659375
transcript.pyannote[135].end 472.10909375
transcript.pyannote[136].speaker SPEAKER_04
transcript.pyannote[136].start 472.54784375
transcript.pyannote[136].end 472.71659375
transcript.pyannote[137].speaker SPEAKER_04
transcript.pyannote[137].start 472.96971875
transcript.pyannote[137].end 494.50221875
transcript.pyannote[138].speaker SPEAKER_04
transcript.pyannote[138].start 495.00846875
transcript.pyannote[138].end 497.64096875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 498.21471875
transcript.pyannote[139].end 500.61096875
transcript.pyannote[140].speaker SPEAKER_04
transcript.pyannote[140].start 500.34096875
transcript.pyannote[140].end 500.81346875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 500.81346875
transcript.pyannote[141].end 503.00721875
transcript.pyannote[142].speaker SPEAKER_04
transcript.pyannote[142].start 502.77096875
transcript.pyannote[142].end 503.20971875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 503.05784375
transcript.pyannote[143].end 503.44596875
transcript.pyannote[144].speaker SPEAKER_04
transcript.pyannote[144].start 503.29409375
transcript.pyannote[144].end 503.66534375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 503.54721875
transcript.pyannote[145].end 505.97721875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 506.31471875
transcript.pyannote[146].end 508.32284375
transcript.pyannote[147].speaker SPEAKER_04
transcript.pyannote[147].start 507.68159375
transcript.pyannote[147].end 508.64346875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 508.99784375
transcript.pyannote[148].end 509.90909375
transcript.pyannote[149].speaker SPEAKER_04
transcript.pyannote[149].start 509.90909375
transcript.pyannote[149].end 510.90471875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 510.19596875
transcript.pyannote[150].end 522.29534375
transcript.pyannote[151].speaker SPEAKER_04
transcript.pyannote[151].start 515.57909375
transcript.pyannote[151].end 515.95034375
transcript.pyannote[152].speaker SPEAKER_04
transcript.pyannote[152].start 521.65409375
transcript.pyannote[152].end 525.70409375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 522.81846875
transcript.pyannote[153].end 523.37534375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 525.07971875
transcript.pyannote[154].end 531.27284375
transcript.pyannote[155].speaker SPEAKER_04
transcript.pyannote[155].start 528.70784375
transcript.pyannote[155].end 529.02846875
transcript.pyannote[156].speaker SPEAKER_04
transcript.pyannote[156].start 531.94784375
transcript.pyannote[156].end 544.03034375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 533.04471875
transcript.pyannote[157].end 533.23034375
transcript.pyannote[158].speaker SPEAKER_04
transcript.pyannote[158].start 544.14846875
transcript.pyannote[158].end 545.66721875
transcript.pyannote[159].speaker SPEAKER_04
transcript.pyannote[159].start 546.25784375
transcript.pyannote[159].end 547.96221875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 546.76409375
transcript.pyannote[160].end 547.82721875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 548.04659375
transcript.pyannote[161].end 554.86409375
transcript.pyannote[162].speaker SPEAKER_04
transcript.pyannote[162].start 548.31659375
transcript.pyannote[162].end 548.36721875
transcript.pyannote[163].speaker SPEAKER_04
transcript.pyannote[163].start 548.38409375
transcript.pyannote[163].end 548.43471875
transcript.pyannote[164].speaker SPEAKER_04
transcript.pyannote[164].start 551.38784375
transcript.pyannote[164].end 551.86034375
transcript.pyannote[165].speaker SPEAKER_04
transcript.pyannote[165].start 554.25659375
transcript.pyannote[165].end 554.84721875
transcript.pyannote[166].speaker SPEAKER_04
transcript.pyannote[166].start 554.86409375
transcript.pyannote[166].end 559.30221875
transcript.pyannote[167].speaker SPEAKER_04
transcript.pyannote[167].start 560.06159375
transcript.pyannote[167].end 562.67721875
transcript.pyannote[168].speaker SPEAKER_04
transcript.pyannote[168].start 563.43659375
transcript.pyannote[168].end 565.20846875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 563.60534375
transcript.pyannote[169].end 563.77409375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 565.00596875
transcript.pyannote[170].end 575.55284375
transcript.pyannote[171].speaker SPEAKER_04
transcript.pyannote[171].start 575.92409375
transcript.pyannote[171].end 582.37034375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 577.54409375
transcript.pyannote[172].end 577.74659375
transcript.pyannote[173].speaker SPEAKER_04
transcript.pyannote[173].start 582.87659375
transcript.pyannote[173].end 585.96471875
transcript.pyannote[174].speaker SPEAKER_04
transcript.pyannote[174].start 586.70721875
transcript.pyannote[174].end 594.72284375
transcript.pyannote[175].speaker SPEAKER_04
transcript.pyannote[175].start 595.81971875
transcript.pyannote[175].end 605.35409375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 605.99534375
transcript.pyannote[176].end 613.94346875
transcript.pyannote[177].speaker SPEAKER_04
transcript.pyannote[177].start 609.99471875
transcript.pyannote[177].end 610.02846875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 610.02846875
transcript.pyannote[178].end 610.38284375
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 613.94346875
transcript.pyannote[179].end 624.65909375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 614.41596875
transcript.pyannote[180].end 614.73659375
transcript.pyannote[181].speaker SPEAKER_04
transcript.pyannote[181].start 624.94596875
transcript.pyannote[181].end 624.96284375
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 624.96284375
transcript.pyannote[182].end 636.01596875
transcript.pyannote[183].speaker SPEAKER_04
transcript.pyannote[183].start 624.97971875
transcript.pyannote[183].end 625.40159375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 630.51471875
transcript.pyannote[184].end 631.08846875
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 636.50534375
transcript.pyannote[185].end 640.60596875
transcript.pyannote[186].speaker SPEAKER_04
transcript.pyannote[186].start 640.11659375
transcript.pyannote[186].end 647.20409375
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 647.82846875
transcript.pyannote[187].end 647.84534375
transcript.pyannote[188].speaker SPEAKER_04
transcript.pyannote[188].start 647.84534375
transcript.pyannote[188].end 649.97159375
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 649.97159375
transcript.pyannote[189].end 650.00534375
transcript.pyannote[190].speaker SPEAKER_05
transcript.pyannote[190].start 651.47346875
transcript.pyannote[190].end 652.48596875
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 651.74346875
transcript.pyannote[191].end 662.47596875
transcript.pyannote[192].speaker SPEAKER_04
transcript.pyannote[192].start 652.48596875
transcript.pyannote[192].end 652.55346875
transcript.pyannote[193].speaker SPEAKER_05
transcript.pyannote[193].start 659.08409375
transcript.pyannote[193].end 659.23596875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 659.23596875
transcript.pyannote[194].end 659.42159375
transcript.pyannote[195].speaker SPEAKER_05
transcript.pyannote[195].start 659.42159375
transcript.pyannote[195].end 659.43846875
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 662.98221875
transcript.pyannote[196].end 664.97346875
transcript.pyannote[197].speaker SPEAKER_04
transcript.pyannote[197].start 664.97346875
transcript.pyannote[197].end 669.19221875
transcript.pyannote[198].speaker SPEAKER_04
transcript.pyannote[198].start 669.88409375
transcript.pyannote[198].end 679.77284375
transcript.pyannote[199].speaker SPEAKER_04
transcript.pyannote[199].start 681.96659375
transcript.pyannote[199].end 682.11846875
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 682.11846875
transcript.pyannote[200].end 682.25346875
transcript.pyannote[201].speaker SPEAKER_04
transcript.pyannote[201].start 682.25346875
transcript.pyannote[201].end 684.32909375
transcript.pyannote[202].speaker SPEAKER_04
transcript.pyannote[202].start 684.95346875
transcript.pyannote[202].end 688.63221875
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 689.40846875
transcript.pyannote[203].end 689.42534375
transcript.pyannote[204].speaker SPEAKER_04
transcript.pyannote[204].start 689.42534375
transcript.pyannote[204].end 690.10034375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 689.44221875
transcript.pyannote[205].end 698.06534375
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 697.13721875
transcript.pyannote[206].end 697.81221875
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 698.47034375
transcript.pyannote[207].end 715.04159375
transcript.pyannote[208].speaker SPEAKER_05
transcript.pyannote[208].start 715.34534375
transcript.pyannote[208].end 718.28159375
transcript.pyannote[209].speaker SPEAKER_05
transcript.pyannote[209].start 718.56846875
transcript.pyannote[209].end 722.80409375
transcript.pyannote[210].speaker SPEAKER_05
transcript.pyannote[210].start 723.00659375
transcript.pyannote[210].end 729.23346875
transcript.pyannote[211].speaker SPEAKER_05
transcript.pyannote[211].start 729.26721875
transcript.pyannote[211].end 734.88659375
transcript.pyannote[212].speaker SPEAKER_05
transcript.pyannote[212].start 735.54471875
transcript.pyannote[212].end 736.40534375
transcript.pyannote[213].speaker SPEAKER_05
transcript.pyannote[213].start 736.77659375
transcript.pyannote[213].end 737.97471875
transcript.pyannote[214].speaker SPEAKER_04
transcript.pyannote[214].start 737.97471875
transcript.pyannote[214].end 739.49346875
transcript.pyannote[215].speaker SPEAKER_04
transcript.pyannote[215].start 739.69596875
transcript.pyannote[215].end 747.76221875
transcript.pyannote[216].speaker SPEAKER_04
transcript.pyannote[216].start 748.13346875
transcript.pyannote[216].end 754.81596875
transcript.pyannote[217].speaker SPEAKER_04
transcript.pyannote[217].start 755.15346875
transcript.pyannote[217].end 768.60284375
transcript.pyannote[218].speaker SPEAKER_05
transcript.pyannote[218].start 769.29471875
transcript.pyannote[218].end 769.68284375
transcript.pyannote[219].speaker SPEAKER_05
transcript.pyannote[219].start 769.95284375
transcript.pyannote[219].end 773.71596875
transcript.pyannote[220].speaker SPEAKER_05
transcript.pyannote[220].start 773.88471875
transcript.pyannote[220].end 773.90159375
transcript.pyannote[221].speaker SPEAKER_04
transcript.pyannote[221].start 773.90159375
transcript.pyannote[221].end 789.84846875
transcript.pyannote[222].speaker SPEAKER_04
transcript.pyannote[222].start 789.93284375
transcript.pyannote[222].end 790.21971875
transcript.pyannote[223].speaker SPEAKER_04
transcript.pyannote[223].start 790.37159375
transcript.pyannote[223].end 796.53096875
transcript.pyannote[224].speaker SPEAKER_04
transcript.pyannote[224].start 797.10471875
transcript.pyannote[224].end 804.69846875
transcript.pyannote[225].speaker SPEAKER_04
transcript.pyannote[225].start 805.20471875
transcript.pyannote[225].end 806.62221875
transcript.pyannote[226].speaker SPEAKER_04
transcript.pyannote[226].start 808.19159375
transcript.pyannote[226].end 815.22846875
transcript.pyannote[227].speaker SPEAKER_04
transcript.pyannote[227].start 816.49409375
transcript.pyannote[227].end 819.05909375
transcript.pyannote[228].speaker SPEAKER_05
transcript.pyannote[228].start 819.70034375
transcript.pyannote[228].end 822.92346875
transcript.pyannote[229].speaker SPEAKER_04
transcript.pyannote[229].start 822.95721875
transcript.pyannote[229].end 823.88534375
transcript.pyannote[230].speaker SPEAKER_04
transcript.pyannote[230].start 824.34096875
transcript.pyannote[230].end 826.82159375
transcript.pyannote[231].speaker SPEAKER_04
transcript.pyannote[231].start 827.34471875
transcript.pyannote[231].end 827.78346875
transcript.pyannote[232].speaker SPEAKER_04
transcript.pyannote[232].start 827.86784375
transcript.pyannote[232].end 834.39846875
transcript.pyannote[233].speaker SPEAKER_04
transcript.pyannote[233].start 835.03971875
transcript.pyannote[233].end 838.19534375
transcript.pyannote[234].speaker SPEAKER_04
transcript.pyannote[234].start 838.56659375
transcript.pyannote[234].end 845.56971875
transcript.pyannote[235].speaker SPEAKER_04
transcript.pyannote[235].start 845.73846875
transcript.pyannote[235].end 855.55971875
transcript.pyannote[236].speaker SPEAKER_04
transcript.pyannote[236].start 856.01534375
transcript.pyannote[236].end 860.36909375
transcript.pyannote[237].speaker SPEAKER_04
transcript.pyannote[237].start 861.93846875
transcript.pyannote[237].end 865.19534375
transcript.pyannote[238].speaker SPEAKER_04
transcript.pyannote[238].start 866.62971875
transcript.pyannote[238].end 874.52721875
transcript.pyannote[239].speaker SPEAKER_04
transcript.pyannote[239].start 874.56096875
transcript.pyannote[239].end 878.22284375
transcript.pyannote[240].speaker SPEAKER_04
transcript.pyannote[240].start 878.49284375
transcript.pyannote[240].end 880.12971875
transcript.pyannote[241].speaker SPEAKER_05
transcript.pyannote[241].start 880.99034375
transcript.pyannote[241].end 881.63159375
transcript.pyannote[242].speaker SPEAKER_05
transcript.pyannote[242].start 882.00284375
transcript.pyannote[242].end 889.54596875
transcript.pyannote[243].speaker SPEAKER_04
transcript.pyannote[243].start 885.41159375
transcript.pyannote[243].end 885.90096875
transcript.pyannote[244].speaker SPEAKER_04
transcript.pyannote[244].start 888.82034375
transcript.pyannote[244].end 891.72284375
transcript.pyannote[245].speaker SPEAKER_05
transcript.pyannote[245].start 892.27971875
transcript.pyannote[245].end 901.57784375
transcript.pyannote[246].speaker SPEAKER_04
transcript.pyannote[246].start 896.29596875
transcript.pyannote[246].end 899.31659375
transcript.pyannote[247].speaker SPEAKER_04
transcript.pyannote[247].start 901.72971875
transcript.pyannote[247].end 910.03221875
transcript.pyannote[248].speaker SPEAKER_04
transcript.pyannote[248].start 910.30221875
transcript.pyannote[248].end 912.31034375
transcript.pyannote[249].speaker SPEAKER_04
transcript.pyannote[249].start 912.71534375
transcript.pyannote[249].end 914.94284375
transcript.pyannote[250].speaker SPEAKER_04
transcript.pyannote[250].start 915.22971875
transcript.pyannote[250].end 916.34346875
transcript.pyannote[251].speaker SPEAKER_04
transcript.pyannote[251].start 916.54596875
transcript.pyannote[251].end 919.65096875
transcript.pyannote[252].speaker SPEAKER_04
transcript.pyannote[252].start 919.95471875
transcript.pyannote[252].end 920.14034375
transcript.pyannote[253].speaker SPEAKER_03
transcript.pyannote[253].start 924.96659375
transcript.pyannote[253].end 941.99346875
transcript.pyannote[254].speaker SPEAKER_03
transcript.pyannote[254].start 942.11159375
transcript.pyannote[254].end 946.02659375
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 952.91159375
transcript.pyannote[255].end 953.82284375
transcript.pyannote[256].speaker SPEAKER_01
transcript.pyannote[256].start 954.09284375
transcript.pyannote[256].end 956.52284375
transcript.whisperx[0].start 1.984
transcript.whisperx[0].end 4.609
transcript.whisperx[0].text 謝謝主席 我們請卓院長麻煩再請卓院長備詢
transcript.whisperx[1].start 14.332
transcript.whisperx[1].end 32.088
transcript.whisperx[1].text 林委員好院長好 辛苦了今天早上也聽到院長在講就是說你也認為說國人也不一定會滿意打詐的進度派給政府多一點時間這是左院長早上的反應其實我在民間也有聽到
transcript.whisperx[2].start 33.169
transcript.whisperx[2].end 56.193
transcript.whisperx[2].text 大家對於說這個打詐雖然政府有在努力在做但是還是有一些疑慮就民間的一些反應我來跟部長請教一下第一個 為什麼打詐會越來越多呢第二個 被騙的人為什麼都被判那麼輕呢第三個 被詐騙的錢能不能追回來大概這三項能不能請院長先簡短的答覆一下
transcript.whisperx[3].start 57.244
transcript.whisperx[3].end 85.518
transcript.whisperx[3].text 因為對詐騙集團來講第一個他有利可圖他後面一定是一個幫派一個組織所以是大規模的在從事另外手法不斷的翻新再來就跟境外的合作經常把他的基地台等等可是我們有打詐釋法了耶為什麼會對境外的部分我們還要跨境的合作雖然有一些合作但是我想速度跟這個數目上遠遠不及這個才是越來
transcript.whisperx[4].start 86.238
transcript.whisperx[4].end 102.508
transcript.whisperx[4].text 打詐的這個集團越來越猖狂的一個原因那怎麼辦我們法令也給行政院也送來立法院也通過了所以我們說的我們希望從市詐開始讓人民知道說什麼是有陷阱的什麼是你不應該加入的用這個方式來阻絕源頭
transcript.whisperx[5].start 103.989
transcript.whisperx[5].end 117.506
transcript.whisperx[5].text 再來就是把從市帳 房帳 主帳 整帳各方面一路的下來如果只是用抓的 抓不是抓的抓當然是最後端了啦我先請教一下這一個院長
transcript.whisperx[6].start 118.867
transcript.whisperx[6].end 143.257
transcript.whisperx[6].text 第一個就是有關165 165很辛苦早上也有同仁有問過就是說165現在有50名的工作人員然後平均每一天要接到1200通到1500通的電話請教一下院長在它法制化之前能不能優化補它的人力讓最前線的我們同仁不用這麼的辛苦
transcript.whisperx[7].start 144.396
transcript.whisperx[7].end 167.847
transcript.whisperx[7].text 謝謝李委員關心第一線工作人員確實值得需要鼓勵我多次去到165中心看他們在接電話第一個要非常有耐心第一個要非常極致的反映出對方來的詢問問題能夠給他解答第三個要能夠告訴他後續應該有些什麼救濟的行為對一個專業訓練來看是非常非常現在是50門50個嗎47
transcript.whisperx[8].start 171.128
transcript.whisperx[8].end 187.114
transcript.whisperx[8].text 47人力夠不夠我想以這個現在的量來講的他們都很辛苦還是會按照從哪邊調過來的寶一調過來的還希望他增加外語的人力短時間之人力能不能增加
transcript.whisperx[9].start 188.996
transcript.whisperx[9].end 213.625
transcript.whisperx[9].text 人力當然是可以增加但是我想李委員可能會希望我們能夠在科技上面譬如說我們要導入AI的系統或者導入這個圈存電子化或者是系統性的上限而不是像以前好像街市化一通一通填寫這樣子這樣可以減輕第一線同仁的負擔等於優化對 優化這個優化在科技面上面我們已經開始補充人力跟優化這個能不能做到
transcript.whisperx[10].start 214.485
transcript.whisperx[10].end 238.47
transcript.whisperx[10].text 當然沒有問題 但是還有一個就是讓它法制化那有沒有一個期程 短期間我們先補充人力先優化然後長時間法制化同時我們從7月開始的時候也會提供這個獎金按照他們的這個程度提供2000到1萬元預計短期要補到多少人你們認為現在他們輪調是沒有太大問題但是今天太辛苦了
transcript.whisperx[11].start 239.09
transcript.whisperx[11].end 253.843
transcript.whisperx[11].text 我願意再來提醒說因為每一次接電話都耗盡很多的心神而且心理的壓力也會很大所以今天早上委員在提醒的時候就是說要給他們做一些心理諮商的協助跟支持這一點我們已經馬上交辦了沒有問題
transcript.whisperx[12].start 254.883
transcript.whisperx[12].end 280.079
transcript.whisperx[12].text 我也認為院長這邊能力我覺得短時間在增加這47名可以說是精英他們這樣子每天24小時也不斷電在服務我認為說第一個當然就是身心雙方我們要稍微注意一下第二個就是說能夠增加能力就增加能力讓他們不至於這麼的疲憊好不好謝謝委員關心我請內政部就短期的這個委員所講的短期的部分你一定一個計畫我們來進行核定
transcript.whisperx[13].start 282.02
transcript.whisperx[13].end 300.353
transcript.whisperx[13].text 那再請教一下這個院長高齡詐騙的問題因為我們現在進入高齡化了那部長可以先請問進入這個高齡化了那大家也知道說現在高齡化的長者他們可能現在有錢也有錢但是這也容易成為詐騙集團他所覬覦的對象
transcript.whisperx[14].start 301.494
transcript.whisperx[14].end 319.67
transcript.whisperx[14].text 其實在日本他們其實有在去年有公告一個保護國民免受詐騙的綜合對策他其實有針對這個是高齡化的比如說推動跟金融機構合作針對長期未使用ATM轉帳功能的高齡客戶然後就是限制他的金額或是說銀髮族家用電話安裝防騷擾的裝備或是說我們能不能
transcript.whisperx[15].start 328.277
transcript.whisperx[15].end 351.552
transcript.whisperx[15].text 讓長者在領錢的時候稍微增加他的不方便性因為我知道說在這個比如說在保單這方面就是說他們有設計就是說那你如果是長者要來解約這個保單然後他們就問說那為什麼要解約甚至有多一個人就是說你必須要家裡的其他的人知道這件事情而且同意
transcript.whisperx[16].start 352.612
transcript.whisperx[16].end 376.225
transcript.whisperx[16].text 這個長者才能去把這個保單做這個解約的這個過程那我就想說我們對於高齡的長者這部分能不能多一些關懷然後多一些在這個法令上面給予他們協助因為其實在今年4月的時候我就跟林志傑教授一起來談到說有關於高齡財務風險管理不足的這部分那這部分這個彭主委你要先回應一下嗎
transcript.whisperx[17].start 377.918
transcript.whisperx[17].end 402.55
transcript.whisperx[17].text 跟委員說明一下有關高齡跟他講說我們對於保單有解約金的這些註記的部分因為牽涉到法律我們已經請幾家公司他們已經開始跟客戶在做這個示範了在做這個我想就是高齡者他要解約必須要其他家人通知就是你要如果是要解除這個的話要通知這個就跟我們那個比如說我們的那個土地啊房屋要過戶那個是一樣的
transcript.whisperx[18].start 403.41
transcript.whisperx[18].end 425.038
transcript.whisperx[18].text 那另外剛才講說對於ATM異常的部分我們已經納入全面的管控就是假設這個很久沒有領那我說有沒有特別針對長者因為我是在講說高齡化這部分高齡的風險其實我們對高齡化的這一部分一些的保護我們就是我們不是歧視但是我們需要多一些關心跟照顧這個就是我們現在正在做的
transcript.whisperx[19].start 428.679
transcript.whisperx[19].end 448.072
transcript.whisperx[19].text 這樣有在做嗎 有你的方案是什麼 我怎麼不知道就剛才講 因為早上也有人問有關ATM管控的部分細節我不方便在這邊說但是我們已經針對各種異常的現象做一個全盤式的我覺得像日本那種我剛提到這個你們可以做一些參考就是說讓高齡者
transcript.whisperx[20].start 449.022
transcript.whisperx[20].end 467.173
transcript.whisperx[20].text 他們要在做這個不管是提款或是說解約這方面的話多增加一些他的家人能夠關心他這也是我們現在在鼓勵他們往這個方向來走那我再請教一下院長早上結果這個同仁有問到
transcript.whisperx[21].start 468.667
transcript.whisperx[21].end 497.244
transcript.whisperx[21].text 有一個是自稱是詐騙集團的車手然後他假釋之後他高調分享他的詐騙還說自己的判決書可以當履歷表早上有播這個影片我聽政部長也說好像要去抓還是劉部長這個其實網路上都找得到他的編號 他的名字他司法判決書都找得到我不曉得說現在掌握的情況怎麼樣
transcript.whisperx[22].start 498.574
transcript.whisperx[22].end 509.085
transcript.whisperx[22].text 報告委員我來補充一下好嗎這位姓廖現在已經被移送到雲林地檢署現在今天嗎13號然後他在8月9號的時候已經有將這個影片下架
transcript.whisperx[23].start 515.792
transcript.whisperx[23].end 530.366
transcript.whisperx[23].text 所以現在在民眾流傳的部分應該不是是其他的部分這個在流傳的部分就之前拍的就對了他現在你說他現在已經對 那這位廖姓詐欺嫌犯的我是覺得囂張因為他總共被移送28次
transcript.whisperx[24].start 532.177
transcript.whisperx[24].end 558.95
transcript.whisperx[24].text 這個就是問題為什麼可以移送到28次然後他繼續出來就是我要凸顯一下這幾個問題第一個對年輕人來講他覺得詐騙不是丟臉的事情他可以甚至拿來炫耀第二個就剛才我提到的判得很輕因為他投資報酬率很高所以我們要修法我們防詐條例要修法包括禁車條款可能要放到裡面會比較好第三個就是說詐騙的金額高但是和解的金額很低
transcript.whisperx[25].start 560.063
transcript.whisperx[25].end 585.652
transcript.whisperx[25].text 合解性很低啊然後輕易就能夠假釋啊那就是法令上不足的問題啊對 所以我們詐欺犯罪危害條例一定要修那現在其實在貴院的內政委員會其實也是在修法的這個研議當中那還包含這個法務部啊早上我也聽到這一個同仁有在提到啊現在就是說這一個你只要願意去跟受害者和解
transcript.whisperx[26].start 586.701
transcript.whisperx[26].end 604.995
transcript.whisperx[26].text 那和解的金額不是你詐騙的金額是你我自己拿到了這個金額那結果就用這個金額去做和解了也都行得通我們這部分是不是我們盡快來做這個修法那不然這樣子的話那對於這些詐騙集團來講代價太低了所以受害者來講請恨以堪
transcript.whisperx[27].start 606.021
transcript.whisperx[27].end 624.483
transcript.whisperx[27].text 我了解的部分是法務部已經跟司法院他們在研議當中看怎麼樣從法治上面來解決這方面的問題法務部已經提出修正草案 限定送行政院在審查中了那要徹底解決這個問題因為我們覺得這個是很不合理
transcript.whisperx[28].start 625.897
transcript.whisperx[28].end 649.648
transcript.whisperx[28].text 這個非常的不合理因為當初立法的時候本來就是採全部的損害而說但是後來實際運作司法院的法院的作業他是採個人報酬說後來他是有不同有少數的採全部的損害說這個就是我相信很多立委也都有提案那現在就是我們等院版等院版看何時送來立法院院版就代表這個行政院的一個態度
transcript.whisperx[29].start 652.308
transcript.whisperx[29].end 679.386
transcript.whisperx[29].text 他這部分在審查現在也在開審查會議請司法院來表示意見我想進訴的時候完畢就送立法院來審議我覺得這個太誇張了光從早上大家在談的這個例子就凸顯了好幾個問題就大家覺得說你詐騙那幹部長你提到說他被抓了26次那26次就出來那為什麼大家會覺得說我回到我之前所講的為什麼現在都判得那麼輕
transcript.whisperx[30].start 682.858
transcript.whisperx[30].end 697.937
transcript.whisperx[30].text 我們檢察官起訴的時候起訴的第一個起訴可能量刑就不重那第二個到法官那邊判決也不重判決法官跟委員報告那這部分的確是有量刑的的確是都大部分集中在一年到兩年之間那是外界判決最低的啊
transcript.whisperx[31].start 699.034
transcript.whisperx[31].end 714.748
transcript.whisperx[31].text 現在我們有一個具體球型50條 炸白條50條具體球型我們在高檢測有一個球型的標準給檢考做一個參考我想他們可以來因為現在剛開始在做而已我想大概一定時間效果會出來
transcript.whisperx[32].start 715.484
transcript.whisperx[32].end 733.709
transcript.whisperx[32].text 跟委員報告因為很多類似這樣的一個法律的修法法都必須跟司法院進行討論那我們也發現到當中無論是行度或者是速度以及他這個修法的過程的程序都有問題所以我已經拉高到由雙方的秘書長來進行交涉希望能夠把這個時程
transcript.whisperx[33].start 735.789
transcript.whisperx[33].end 753.656
transcript.whisperx[33].text 趕快一點現在就是大概去年是這個時候這個打炸專法通過了現在一年那其實就是說包含兩位部長院長都有提到說我們相關的法令這一年之後的確有許多要去做修改的譬如說第一個加重我們的犯罪的刑罰第二個呢
transcript.whisperx[34].start 754.557
transcript.whisperx[34].end 768.558
transcript.whisperx[34].text 強化犯罪的被害的補償第三個呢 研議犯罪禁車的管制我覺得說這個一年這樣子下來之後大家發現說有這一些不足的地方我們也希望說行政院趕快來補這個漏洞好不好
transcript.whisperx[35].start 769.295
transcript.whisperx[35].end 792.052
transcript.whisperx[35].text 好的 我們會請司法院一起配合我們會盡快來處理好 那這個你剛才提到這個市詐的部分我跟院長提供一個數字就是說現在在青少年的部分就是在19歲以下我們這個市詐欺的嫌疑犯人數每年都增加從111 112到113每年都增加然後這個車手
transcript.whisperx[36].start 797.67
transcript.whisperx[36].end 826.54
transcript.whisperx[36].text 擔任這個車手是在12歲到17歲這個佔車手的比例高達六成就是說年輕人現在就是被抓起來當作車手裡面的大概有六成是屬於青少年的這是一個非常嚴重的問題這部分怎麼去做處理院長少年事件的處理我們跟司法院也在進行溝通當中還有教育部我覺得教育部也要來做處理就是說
transcript.whisperx[37].start 827.369
transcript.whisperx[37].end 855.321
transcript.whisperx[37].text 第一個大家覺得說車手第一個就是量刑青現在很多詐騙集團也是找年輕人去當車手然後量刑青很容易就被假釋所以都是當年輕人用車手所以財委部長你講提到說被抓了二十幾次然後就出來這麼高調的拍影片這是一個問題我們在年輕人12歲到17歲裡面車手的嫌疑犯裡面竟然有六成
transcript.whisperx[38].start 856.092
transcript.whisperx[38].end 879.887
transcript.whisperx[38].text 都是年輕人然後有關主詐的這部分來 主詐 張款的這一個流項面現在就是說我們對於警示金融帳戶剩餘款項的返還這方面的速度我們是不是可以再加快一點
transcript.whisperx[39].start 882.079
transcript.whisperx[39].end 897.05
transcript.whisperx[39].text 各個案子他有不同的情節太陽所以他沒有辦法定出一個一定的標準我們現在平均大概是多少時間這個現在很難講一個平均的數字有的會幾日有的會比較長的時間
transcript.whisperx[40].start 902.215
transcript.whisperx[40].end 918.744
transcript.whisperx[40].text 請金管會來研議這個警示金融帳戶剩餘款項的返還的進進作為我時間有限 最後再請教一下這個應該是跟信息有關的就是說有關於清查非國籍預付卡手機門號的情況
transcript.whisperx[41].start 923.887
transcript.whisperx[41].end 950.125
transcript.whisperx[41].text 目前來看 這個是五零價到現在為止 這應該是多到幾年級為止大概清查 財清查兩百五萬 財清查一萬多這個我請院長要去確定一下是 因為他們是說今年八月應該是今年年底以後會去檢查一天百多萬我們請院長來講
transcript.whisperx[42].start 953.018
transcript.whisperx[42].end 953.42
transcript.whisperx[42].text 好 謝謝李坤貞委員的質詢