iVOD / 165408

Field Value
IVOD_ID 165408
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165408
日期 2025-11-13
會議資料.會議代碼 委員會-11-4-15-10
會議資料.會議代碼:str 第11屆第4會期內政委員會第10次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 10
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第4會期內政委員會第10次全體委員會議
影片種類 Clip
開始時間 2025-11-13T10:47:26+08:00
結束時間 2025-11-13T10:56:02+08:00
影片長度 00:08:36
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/fffa2c65c610face3cf161690027a87c4fb19a1d580694890f406a00a8f97c06ce221ba616d86ab85ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 丁學忠
委員發言時間 10:47:26 - 10:56:02
會議時間 2025-11-13T09:00:00+08:00
會議名稱 立法院第11屆第4會期內政委員會第10次全體委員會議(事由:邀請內政部、財政部、數位發展部、金融監督管理委員會、交通部就「普發現金一萬元之跨部會防詐及查緝作為」進行專題報告,並備質詢。【11月12日及13日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 4.30034375
transcript.pyannote[0].end 5.22846875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 5.66721875
transcript.pyannote[1].end 7.65846875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 8.13096875
transcript.pyannote[2].end 8.77221875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 9.63284375
transcript.pyannote[3].end 10.83096875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 13.19346875
transcript.pyannote[4].end 13.73346875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 14.03721875
transcript.pyannote[5].end 14.61096875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 15.58971875
transcript.pyannote[6].end 15.99471875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 16.50096875
transcript.pyannote[7].end 17.96909375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 18.45846875
transcript.pyannote[8].end 20.06159375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 20.60159375
transcript.pyannote[9].end 21.74909375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 22.18784375
transcript.pyannote[10].end 23.48721875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 23.95971875
transcript.pyannote[11].end 26.05221875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 26.50784375
transcript.pyannote[12].end 29.19096875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 29.91659375
transcript.pyannote[13].end 32.14409375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 32.71784375
transcript.pyannote[14].end 33.86534375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 34.21971875
transcript.pyannote[15].end 35.38409375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 35.72159375
transcript.pyannote[16].end 37.10534375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 37.91534375
transcript.pyannote[17].end 39.14721875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 39.56909375
transcript.pyannote[18].end 41.25659375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 42.33659375
transcript.pyannote[19].end 45.45846875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 45.71159375
transcript.pyannote[20].end 47.43284375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 47.88846875
transcript.pyannote[21].end 49.55909375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 49.86284375
transcript.pyannote[22].end 52.66409375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 54.50346875
transcript.pyannote[23].end 56.24159375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 57.27096875
transcript.pyannote[24].end 61.28721875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 61.45596875
transcript.pyannote[25].end 64.45971875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 64.78034375
transcript.pyannote[26].end 67.63221875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 67.86846875
transcript.pyannote[27].end 70.70346875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 71.07471875
transcript.pyannote[28].end 73.90971875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 74.17971875
transcript.pyannote[29].end 76.30596875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 76.49159375
transcript.pyannote[30].end 77.87534375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 78.01034375
transcript.pyannote[31].end 80.55846875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 80.99721875
transcript.pyannote[32].end 87.73034375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 88.00034375
transcript.pyannote[33].end 92.91096875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 88.05096875
transcript.pyannote[34].end 88.43909375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 93.13034375
transcript.pyannote[35].end 96.08346875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 96.16784375
transcript.pyannote[36].end 96.18471875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 96.21846875
transcript.pyannote[37].end 100.35284375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 100.36971875
transcript.pyannote[38].end 102.42846875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 100.57221875
transcript.pyannote[39].end 101.55096875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 102.68159375
transcript.pyannote[40].end 103.03596875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 102.90096875
transcript.pyannote[41].end 104.60534375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 105.11159375
transcript.pyannote[42].end 105.92159375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 105.28034375
transcript.pyannote[43].end 111.92909375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 112.23284375
transcript.pyannote[44].end 113.05971875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 113.59971875
transcript.pyannote[45].end 114.88221875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 114.94971875
transcript.pyannote[46].end 120.58596875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 118.79721875
transcript.pyannote[47].end 119.10096875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 120.21471875
transcript.pyannote[48].end 122.00346875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 122.45909375
transcript.pyannote[49].end 123.85971875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 123.99471875
transcript.pyannote[50].end 125.44596875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 125.71596875
transcript.pyannote[51].end 127.09971875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 128.17971875
transcript.pyannote[52].end 130.06971875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 130.67721875
transcript.pyannote[53].end 132.75284375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 133.52909375
transcript.pyannote[54].end 135.43596875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 135.90846875
transcript.pyannote[55].end 137.22471875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 137.98409375
transcript.pyannote[56].end 140.51534375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 141.25784375
transcript.pyannote[57].end 142.74284375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 142.97909375
transcript.pyannote[58].end 144.49784375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 145.08846875
transcript.pyannote[59].end 145.45971875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 145.71284375
transcript.pyannote[60].end 146.65784375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 147.04596875
transcript.pyannote[61].end 148.91909375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 149.23971875
transcript.pyannote[62].end 149.96534375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 150.53909375
transcript.pyannote[63].end 151.45034375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 151.58534375
transcript.pyannote[64].end 153.79596875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 154.13346875
transcript.pyannote[65].end 155.46659375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 155.60159375
transcript.pyannote[66].end 157.23846875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 157.69409375
transcript.pyannote[67].end 158.72346875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 158.92596875
transcript.pyannote[68].end 160.47846875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 160.78221875
transcript.pyannote[69].end 162.36846875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 162.57096875
transcript.pyannote[70].end 173.57346875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 173.67471875
transcript.pyannote[71].end 195.37596875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 179.51346875
transcript.pyannote[72].end 179.85096875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 185.87534375
transcript.pyannote[73].end 186.02721875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 186.07784375
transcript.pyannote[74].end 186.24659375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 193.77284375
transcript.pyannote[75].end 196.21971875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 197.01284375
transcript.pyannote[76].end 198.29534375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 198.93659375
transcript.pyannote[77].end 200.50596875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 200.96159375
transcript.pyannote[78].end 209.28096875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 209.56784375
transcript.pyannote[79].end 211.94721875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 212.43659375
transcript.pyannote[80].end 214.73159375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 215.05221875
transcript.pyannote[81].end 216.35159375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 216.58784375
transcript.pyannote[82].end 218.71409375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 219.15284375
transcript.pyannote[83].end 224.83971875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 225.10971875
transcript.pyannote[84].end 225.85221875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 226.08846875
transcript.pyannote[85].end 226.44284375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 226.72971875
transcript.pyannote[86].end 227.65784375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 228.28221875
transcript.pyannote[87].end 230.86409375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 231.35346875
transcript.pyannote[88].end 232.72034375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 232.99034375
transcript.pyannote[89].end 233.36159375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 234.52596875
transcript.pyannote[90].end 235.08284375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 241.34346875
transcript.pyannote[91].end 241.95096875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 241.95096875
transcript.pyannote[92].end 243.06471875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 243.16596875
transcript.pyannote[93].end 245.42721875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 246.05159375
transcript.pyannote[94].end 247.58721875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 248.04284375
transcript.pyannote[95].end 249.56159375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 250.05096875
transcript.pyannote[96].end 252.70034375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 253.57784375
transcript.pyannote[97].end 255.38346875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 255.90659375
transcript.pyannote[98].end 256.93596875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 257.34096875
transcript.pyannote[99].end 258.60659375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 259.24784375
transcript.pyannote[100].end 260.98596875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 261.27284375
transcript.pyannote[101].end 263.26409375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 264.63096875
transcript.pyannote[102].end 265.64346875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 265.94721875
transcript.pyannote[103].end 266.33534375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 266.80784375
transcript.pyannote[104].end 270.84096875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 271.14471875
transcript.pyannote[105].end 275.58284375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 275.73471875
transcript.pyannote[106].end 297.94221875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 298.75221875
transcript.pyannote[107].end 301.28346875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 302.05971875
transcript.pyannote[108].end 303.66284375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 304.23659375
transcript.pyannote[109].end 305.97471875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 306.48096875
transcript.pyannote[110].end 308.45534375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 306.59909375
transcript.pyannote[111].end 306.97034375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 309.09659375
transcript.pyannote[112].end 315.54284375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 315.69471875
transcript.pyannote[113].end 325.02659375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 324.01409375
transcript.pyannote[114].end 324.28409375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 325.09409375
transcript.pyannote[115].end 325.41471875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 325.75221875
transcript.pyannote[116].end 328.24971875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 329.02596875
transcript.pyannote[117].end 331.16909375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 331.81034375
transcript.pyannote[118].end 334.35846875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 334.89846875
transcript.pyannote[119].end 336.07971875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 336.43409375
transcript.pyannote[120].end 338.89784375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 339.48846875
transcript.pyannote[121].end 340.61909375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 341.93534375
transcript.pyannote[122].end 344.66909375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 344.16284375
transcript.pyannote[123].end 346.62659375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 347.01471875
transcript.pyannote[124].end 349.02284375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 349.71471875
transcript.pyannote[125].end 357.62909375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 358.11846875
transcript.pyannote[126].end 386.51909375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 385.69221875
transcript.pyannote[127].end 386.08034375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 386.23221875
transcript.pyannote[128].end 388.54409375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 388.76346875
transcript.pyannote[129].end 390.01221875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 390.60284375
transcript.pyannote[130].end 392.89784375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 392.89784375
transcript.pyannote[131].end 392.91471875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 392.91471875
transcript.pyannote[132].end 393.64034375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 394.09596875
transcript.pyannote[133].end 394.88909375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 396.10409375
transcript.pyannote[134].end 397.04909375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 397.31909375
transcript.pyannote[135].end 399.91784375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 400.45784375
transcript.pyannote[136].end 402.43221875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 402.71909375
transcript.pyannote[137].end 403.71471875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 404.91284375
transcript.pyannote[138].end 405.89159375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 406.24596875
transcript.pyannote[139].end 407.19096875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 407.57909375
transcript.pyannote[140].end 409.43534375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 410.09346875
transcript.pyannote[141].end 410.85284375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 411.79784375
transcript.pyannote[142].end 421.29846875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 421.41659375
transcript.pyannote[143].end 447.94409375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 448.09596875
transcript.pyannote[144].end 451.67346875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 451.94346875
transcript.pyannote[145].end 455.31846875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 455.62221875
transcript.pyannote[146].end 457.66409375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 457.98471875
transcript.pyannote[147].end 459.52034375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 459.80721875
transcript.pyannote[148].end 461.91659375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 462.28784375
transcript.pyannote[149].end 463.51971875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 463.78971875
transcript.pyannote[150].end 464.76846875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 465.37596875
transcript.pyannote[151].end 467.90721875
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 468.32909375
transcript.pyannote[152].end 469.20659375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 469.61159375
transcript.pyannote[153].end 471.72096875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 472.51409375
transcript.pyannote[154].end 473.17221875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 473.45909375
transcript.pyannote[155].end 475.18034375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 475.38284375
transcript.pyannote[156].end 476.07471875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 476.31096875
transcript.pyannote[157].end 477.74534375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 478.47096875
transcript.pyannote[158].end 479.97284375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 480.34409375
transcript.pyannote[159].end 481.30596875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 481.74471875
transcript.pyannote[160].end 482.89221875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 483.16221875
transcript.pyannote[161].end 484.68096875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 485.30534375
transcript.pyannote[162].end 486.04784375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 486.46971875
transcript.pyannote[163].end 487.75221875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 488.22471875
transcript.pyannote[164].end 488.98409375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 489.15284375
transcript.pyannote[165].end 490.04721875
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 490.13159375
transcript.pyannote[166].end 491.43096875
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 491.53221875
transcript.pyannote[167].end 493.03409375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 493.43909375
transcript.pyannote[168].end 493.81034375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 494.24909375
transcript.pyannote[169].end 496.54409375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 496.84784375
transcript.pyannote[170].end 498.02909375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 498.56909375
transcript.pyannote[171].end 499.36221875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 499.81784375
transcript.pyannote[172].end 502.53471875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 502.82159375
transcript.pyannote[173].end 503.56409375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 503.81721875
transcript.pyannote[174].end 504.67784375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 504.86346875
transcript.pyannote[175].end 506.58471875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 507.20909375
transcript.pyannote[176].end 509.53784375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 510.06096875
transcript.pyannote[177].end 511.22534375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 511.29284375
transcript.pyannote[178].end 513.08159375
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 512.10284375
transcript.pyannote[179].end 512.89596875
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 513.08159375
transcript.pyannote[180].end 513.67221875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 513.11534375
transcript.pyannote[181].end 513.46971875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 514.00971875
transcript.pyannote[182].end 514.43159375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 515.39346875
transcript.pyannote[183].end 517.21596875
transcript.whisperx[0].start 4.318
transcript.whisperx[0].end 7.259
transcript.whisperx[0].text 感謝召委我請內政部跟警政署內政部 警政署委員好謝謝今天我們討論這個開發一萬戶的打仗的這個成果因為這次開發一萬戶還給我們建設氣管路電機電動給我們的詐騙集團有機可乘
transcript.whisperx[1].start 34.261
transcript.whisperx[1].end 36.002
transcript.whisperx[1].text 好 委員我是不是請警政署來說明
transcript.whisperx[2].start 57.65
transcript.whisperx[2].end 66.537
transcript.whisperx[2].text 向委員報告 因為這個剖髮十萬戸 從今年的照片已經統計到現在那所有發現的案件差不多是九件那九件裡面的基礎差不多五件是這個車前進的這部分三件是這個網路 還有一個車子在台 這部分我們現時是都
transcript.whisperx[3].start 81.498
transcript.whisperx[3].end 89.822
transcript.whisperx[3].text 因為案發的有限事件要向相關警察局先立專案現在就很煩了如果從整個詐騙的趨勢來看這件我們爆發一萬塊的相關詐欺的案件發生的比例目前可以說是可以控制的財修你怎麼這麼有邏輯 講詐騙企業的經驗
transcript.whisperx[4].start 105.154
transcript.whisperx[4].end 111.755
transcript.whisperx[4].text 剛才在報告裡面,大概有八百多萬,這次的重點是這樣,那是剖發一萬戶,結合甲鹼鎮,做成八百多萬的財務?其實我們已經要推出剖發一萬戶,在光榮行政局,詐騙集團已經準備好了,
transcript.whisperx[5].start 130.814
transcript.whisperx[5].end 134.877
transcript.whisperx[5].text 他們的技術兩位比我們更先進,所以當我們做到那樣,就聽到事端,他們就沒主意去等那個人長,所以有可能這樣就造成他們的損失,這個過分,我們來進口經濟事務家更辛苦了。
transcript.whisperx[6].start 150.595
transcript.whisperx[6].end 153.257
transcript.whisperx[6].text 未來將對這個網絡經濟更加是需要我們人的個資的股份這都要加強一下這個股份再快一點感謝委員這股份我們一定會再加強因為其實在網絡民眾污點這個不對的網站輸入個資現在是很嚴重的問題
transcript.whisperx[7].start 173.735
transcript.whisperx[7].end 179.339
transcript.whisperx[7].text 那委員剛才說點出來 我也希望說透過委員接受這個方針來傳達給我們全國的民眾 都了解可是 操作網絡要特別小心尤其你要輸入個人的個資你尤其要特別注意千萬不可以在網絡隨便來做輸入這我們地方的警察局
transcript.whisperx[8].start 198.973
transcript.whisperx[8].end 205.097
transcript.whisperx[8].text 平常時都有在宣導我們在遭殘案時平常時在台上我們都會向記者宣導這個國分我相信說由上到下大家透過媒體也好透過網絡也好透過我們用我們的嘴出來說來宣導一定可以奉祉到這些遭殘案的案件好感謝我們的
transcript.whisperx[9].start 228.654
transcript.whisperx[9].end 233.277
transcript.whisperx[9].text 那個內政局很正常,你先休息我請司法局謝謝委員委員好 市長好有一個知名作家他曾經在自己的臉書說他是窮我的貌照片的第一名
transcript.whisperx[10].start 253.632
transcript.whisperx[10].end 257.876
transcript.whisperx[10].text 因為這個部分是我們另外一個署在負責但是就我所知我們現在就是民眾如果透過我們網站通報查詢網去做這樣子的一個通報
transcript.whisperx[11].start 275.796
transcript.whisperx[11].end 297.249
transcript.whisperx[11].text 我們就會主動的來去看說這個是不是真的是一個詐騙訊息如果是的話那我們就會把這個網頁或是說是這樣子的一個FB我們就會用這個RPD的方式就是說讓民眾他輸入網址的時候會連不到那樣子的一個網頁用這樣的方式來去防止民眾去看到這樣子一個詐騙的一個網頁我們事發局是高飛
transcript.whisperx[12].start 302.236
transcript.whisperx[12].end 324.994
transcript.whisperx[12].text 上線通過網 開垃圾經費建立跟這次申告如何不好意思這個細節的那個經費的話可能我們之後再提供給委員這邊那我們這個之前就已經有上線了在去年就已經有上線然後後來我們有把它下架然後再做經...把它再做精緻化之後有再重新上線一次這樣子好 我們這個防災APP
transcript.whisperx[13].start 329.136
transcript.whisperx[13].end 333.86
transcript.whisperx[13].text 下載的數量只有四萬而已但是有四十幾萬的通報可以說明這個查詢網的來源大概是到了好 報告委員這個我們感覺是我意思是說這四十幾萬的通報是從哪裡通過來
transcript.whisperx[14].start 349.933
transcript.whisperx[14].end 372.982
transcript.whisperx[14].text 我們很多的管道在做通報不只是那個民眾然後我們自己我們也會有用AI的方式去網路上面尋因為有一些是那個網頁我們就覺得它是有可能是詐騙的網頁的話那我們就會把它這些的內容我們也會把它放在這樣子的一個通訊網裡面去做一個後續的一個檢查看看是不是所以不只是民眾這邊
transcript.whisperx[15].start 374.284
transcript.whisperx[15].end 388.014
transcript.whisperx[15].text 去對這個疑似這個詐騙的網頁做通報我們自己也有自動的機制 那自動的機制那個部分的話其實也這個尋到蠻多類似的這樣子的一個網頁其實通報這地方政府跟警察單位幫你們做三天的這個也很重要我們大家緊張手機通報的機率都有比較多對我們這個戶籍的這個阻礙
transcript.whisperx[16].start 404.963
transcript.whisperx[16].end 409.305
transcript.whisperx[16].text 我們想說有什麼方案可以增加民眾的使用量當然第一個我們會有一些在各式的場合如果可以方便的話我們都會跟民眾做這樣的宣導那也跟這個
transcript.whisperx[17].start 421.65
transcript.whisperx[17].end 447.698
transcript.whisperx[17].text 一些相關的機關去宣導讓他們去跟這個民眾如果說他們有接觸到這些民眾的話可以跟他們做這樣的宣導那這第一個那當然剛才委員也有提到說這樣子通報可能他的數量也是不多嘛所以我們除了這樣子宣導讓民眾來通報之外我們剛才也有講到說一些自動化的機制我們也會持續的去盡盡量自動化去找這些類似這個詐騙的網頁的這樣子的一個機制把它做得更好
transcript.whisperx[18].start 448.134
transcript.whisperx[18].end 452.635
transcript.whisperx[18].text 好,感謝市長我這其實問題有很多剛才市長在說有的,不是你的要來看一看有的,對所以今天我們這個市法局雖然是市長以上的層級來整個簡單的問題就是要給大家提醒警察當年在現場努力的狂炸每一次捏紙都要為警察跟航班第一時間來作動
transcript.whisperx[19].start 478.53
transcript.whisperx[19].end 492.662
transcript.whisperx[19].text 大家趕快期待樹花谷可以做到三年前升立的時候那個國家優秀能力的發揮這個功能的樹花谷當這個數位建設到防範有更好既然這個通關網站機制已經建立起來希望可以發揮到
transcript.whisperx[20].start 507.267
transcript.whisperx[20].end 507.587
transcript.whisperx[20].text 謝謝丁薛忠委員的質詢