iVOD / 165271

Field Value
IVOD_ID 165271
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165271
日期 2025-11-12
會議資料.會議代碼 委員會-11-4-20-7
會議資料.會議代碼:str 第11屆第4會期財政委員會第7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 7
會議資料.種類 委員會
會議資料.委員會代碼[0] 20
會議資料.委員會代碼:str[0] 財政委員會
會議資料.標題 第11屆第4會期財政委員會第7次全體委員會議
影片種類 Clip
開始時間 2025-11-12T11:02:46+08:00
結束時間 2025-11-12T11:14:39+08:00
影片長度 00:11:53
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/a35f0de19abcdbe3f5f8a919be344ccf906ee7c1e9a76e5aa983a902744326179f207473fb5f34925ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王世堅
委員發言時間 11:02:46 - 11:14:39
會議時間 2025-11-12T09:00:00+08:00
會議名稱 立法院第11屆第4會期財政委員會第7次全體委員會議(事由:邀請金融監督管理委員會彭主任委員金隆就「推動普惠金融與金融科技概況及相關措施」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 2.25846875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 22.06971875
transcript.pyannote[1].end 24.60096875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 25.30971875
transcript.pyannote[2].end 26.62596875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 30.42284375
transcript.pyannote[3].end 30.84471875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 32.48159375
transcript.pyannote[4].end 33.46034375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 34.62471875
transcript.pyannote[5].end 35.40096875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 35.50221875
transcript.pyannote[6].end 37.03784375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 38.08409375
transcript.pyannote[7].end 38.77596875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 39.43409375
transcript.pyannote[8].end 41.13846875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 41.40846875
transcript.pyannote[9].end 43.34909375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 43.93971875
transcript.pyannote[10].end 46.89284375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 47.75346875
transcript.pyannote[11].end 48.91784375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 50.26784375
transcript.pyannote[12].end 51.17909375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 51.53346875
transcript.pyannote[13].end 51.90471875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 52.02284375
transcript.pyannote[14].end 55.87034375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 56.05596875
transcript.pyannote[15].end 59.05971875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 59.17784375
transcript.pyannote[16].end 61.28721875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 61.92846875
transcript.pyannote[17].end 62.51909375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 62.89034375
transcript.pyannote[18].end 65.20221875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 65.48909375
transcript.pyannote[19].end 65.70846875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 65.92784375
transcript.pyannote[20].end 66.75471875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 67.07534375
transcript.pyannote[21].end 69.13409375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 69.65721875
transcript.pyannote[22].end 69.96096875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 70.19721875
transcript.pyannote[23].end 72.61034375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 73.50471875
transcript.pyannote[24].end 76.44096875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 76.89659375
transcript.pyannote[25].end 78.41534375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 79.12409375
transcript.pyannote[26].end 89.55284375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 90.19409375
transcript.pyannote[27].end 94.81784375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 95.84721875
transcript.pyannote[28].end 99.57659375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 100.06596875
transcript.pyannote[29].end 106.02284375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 106.42784375
transcript.pyannote[30].end 109.53284375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 109.71846875
transcript.pyannote[31].end 110.64659375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 111.37221875
transcript.pyannote[32].end 112.82346875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 113.17784375
transcript.pyannote[33].end 115.94534375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 116.51909375
transcript.pyannote[34].end 127.75784375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 128.29784375
transcript.pyannote[35].end 129.54659375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 130.06971875
transcript.pyannote[36].end 145.78034375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 146.13471875
transcript.pyannote[37].end 147.73784375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 148.46346875
transcript.pyannote[38].end 149.89784375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 150.40409375
transcript.pyannote[39].end 153.88034375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 154.72409375
transcript.pyannote[40].end 161.87909375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 162.46971875
transcript.pyannote[41].end 163.17846875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 164.88284375
transcript.pyannote[42].end 168.47721875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 168.94971875
transcript.pyannote[43].end 171.70034375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 171.86909375
transcript.pyannote[44].end 182.90534375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 183.64784375
transcript.pyannote[45].end 186.12846875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 186.19596875
transcript.pyannote[46].end 186.66846875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 187.30971875
transcript.pyannote[47].end 187.81596875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 188.22096875
transcript.pyannote[48].end 195.05534375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 195.66284375
transcript.pyannote[49].end 198.31221875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 199.00409375
transcript.pyannote[50].end 199.34159375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 199.83096875
transcript.pyannote[51].end 208.69034375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 209.11221875
transcript.pyannote[52].end 212.06534375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 212.79096875
transcript.pyannote[53].end 215.55846875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 215.74409375
transcript.pyannote[54].end 217.02659375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 217.51596875
transcript.pyannote[55].end 217.97159375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 218.34284375
transcript.pyannote[56].end 221.59971875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 222.35909375
transcript.pyannote[57].end 224.24909375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 224.90721875
transcript.pyannote[58].end 228.50159375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 229.29471875
transcript.pyannote[59].end 232.46721875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 233.71596875
transcript.pyannote[60].end 238.15409375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 238.15409375
transcript.pyannote[61].end 238.45784375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 238.94721875
transcript.pyannote[62].end 264.07409375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 265.05284375
transcript.pyannote[63].end 268.78221875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 269.40659375
transcript.pyannote[64].end 269.87909375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 270.70596875
transcript.pyannote[65].end 273.62534375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 274.03034375
transcript.pyannote[66].end 281.10096875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 282.50159375
transcript.pyannote[67].end 293.57159375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 293.84159375
transcript.pyannote[68].end 295.81596875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 296.05221875
transcript.pyannote[69].end 299.03909375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 299.89971875
transcript.pyannote[70].end 308.26971875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 309.18096875
transcript.pyannote[71].end 309.77159375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 310.51409375
transcript.pyannote[72].end 312.18471875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 312.65721875
transcript.pyannote[73].end 313.88909375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 314.27721875
transcript.pyannote[74].end 316.42034375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 316.80846875
transcript.pyannote[75].end 318.27659375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 318.59721875
transcript.pyannote[76].end 319.33971875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 320.28471875
transcript.pyannote[77].end 324.23346875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 324.58784375
transcript.pyannote[78].end 330.76409375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 331.62471875
transcript.pyannote[79].end 337.02471875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 337.41284375
transcript.pyannote[80].end 348.16221875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 349.02284375
transcript.pyannote[81].end 353.34284375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 354.00096875
transcript.pyannote[82].end 356.43096875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 356.73471875
transcript.pyannote[83].end 361.07159375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 361.98284375
transcript.pyannote[84].end 363.78846875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 364.41284375
transcript.pyannote[85].end 368.47971875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 368.95221875
transcript.pyannote[86].end 370.21784375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 370.84221875
transcript.pyannote[87].end 382.21596875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 380.66346875
transcript.pyannote[88].end 381.08534375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 382.30034375
transcript.pyannote[89].end 382.33409375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 382.33409375
transcript.pyannote[90].end 382.55346875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 382.55346875
transcript.pyannote[91].end 382.58721875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 382.78971875
transcript.pyannote[92].end 383.86971875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 384.47721875
transcript.pyannote[93].end 388.84784375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 389.45534375
transcript.pyannote[94].end 392.74596875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 393.37034375
transcript.pyannote[95].end 395.96909375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 396.91409375
transcript.pyannote[96].end 401.62221875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 401.89221875
transcript.pyannote[97].end 402.01034375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 402.21284375
transcript.pyannote[98].end 406.02659375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 407.00534375
transcript.pyannote[99].end 408.84471875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 409.01346875
transcript.pyannote[100].end 409.67159375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 410.43096875
transcript.pyannote[101].end 414.56534375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 414.86909375
transcript.pyannote[102].end 418.85159375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 419.22284375
transcript.pyannote[103].end 424.92659375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 425.61846875
transcript.pyannote[104].end 432.95909375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 433.34721875
transcript.pyannote[105].end 433.97159375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 434.56221875
transcript.pyannote[106].end 437.53221875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 437.92034375
transcript.pyannote[107].end 439.64159375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 440.24909375
transcript.pyannote[108].end 443.28659375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 444.46784375
transcript.pyannote[109].end 453.56346875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 453.93471875
transcript.pyannote[110].end 463.84034375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 464.71784375
transcript.pyannote[111].end 468.59909375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 469.76346875
transcript.pyannote[112].end 470.15159375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 471.23159375
transcript.pyannote[113].end 473.81346875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 473.96534375
transcript.pyannote[114].end 478.65659375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 478.97721875
transcript.pyannote[115].end 481.40721875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 482.03159375
transcript.pyannote[116].end 486.35159375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 486.72284375
transcript.pyannote[117].end 487.75221875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 488.42721875
transcript.pyannote[118].end 501.60659375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 501.67409375
transcript.pyannote[119].end 532.85909375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 533.38221875
transcript.pyannote[120].end 535.67721875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 536.14971875
transcript.pyannote[121].end 537.83721875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 536.85846875
transcript.pyannote[122].end 537.21284375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 538.88346875
transcript.pyannote[123].end 539.77784375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 540.06471875
transcript.pyannote[124].end 571.41846875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 569.24159375
transcript.pyannote[125].end 569.74784375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 571.41846875
transcript.pyannote[126].end 571.58721875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 572.05971875
transcript.pyannote[127].end 579.51846875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 580.02471875
transcript.pyannote[128].end 593.38971875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 581.12159375
transcript.pyannote[129].end 581.25659375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 581.27346875
transcript.pyannote[130].end 581.29034375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 593.98034375
transcript.pyannote[131].end 600.19034375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 601.18596875
transcript.pyannote[132].end 602.85659375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 602.85659375
transcript.pyannote[133].end 603.12659375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 603.63284375
transcript.pyannote[134].end 616.44096875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 606.70409375
transcript.pyannote[135].end 606.95721875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 616.62659375
transcript.pyannote[136].end 618.58409375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 619.61346875
transcript.pyannote[137].end 620.05221875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 620.71034375
transcript.pyannote[138].end 632.53971875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 633.26534375
transcript.pyannote[139].end 636.87659375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 637.24784375
transcript.pyannote[140].end 649.06034375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 649.36409375
transcript.pyannote[141].end 658.29096875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 658.88159375
transcript.pyannote[142].end 666.34034375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 666.50909375
transcript.pyannote[143].end 667.47096875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 667.94346875
transcript.pyannote[144].end 679.78971875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 679.89096875
transcript.pyannote[145].end 681.13971875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 681.78096875
transcript.pyannote[146].end 681.94971875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 682.30409375
transcript.pyannote[147].end 692.07471875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 692.80034375
transcript.pyannote[148].end 693.47534375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 693.81284375
transcript.pyannote[149].end 699.65159375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 699.82034375
transcript.pyannote[150].end 711.32909375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 704.37659375
transcript.pyannote[151].end 704.42721875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 710.97471875
transcript.pyannote[152].end 713.72534375
transcript.whisperx[0].start 0.489
transcript.whisperx[0].end 26.409
transcript.whisperx[0].text 請王世堅委員謝謝主席 我請金管會彭主委好 請彭主委
transcript.whisperx[1].start 34.684
transcript.whisperx[1].end 48.393
transcript.whisperx[1].text 今天在這一年半來我們在立法院的相處我對你的質詢方面我想今天是最困難講的一個議題就是關於
transcript.whisperx[2].start 50.302
transcript.whisperx[2].end 76.991
transcript.whisperx[2].text 我們金管會管轄的銀行局管轄的這37家公民銀行他們最近針對詐騙的部分他們很多都去設了AI的設備那麼就來針對警示戶的部分去強化那這其實在大方向是對的因為這幾年來
transcript.whisperx[3].start 79.195
transcript.whisperx[3].end 93.688
transcript.whisperx[3].text 我們整個國家我們台灣受到詐騙可以說影響到幾乎我們全民身物痛極那受害的戶跟金額都這麼龐大
transcript.whisperx[4].start 95.902
transcript.whisperx[4].end 110.491
transcript.whisperx[4].text 我看了這詐騙儀表板雖然我們在我就以這兩年來每一天4億元曾經降到一天大概2億 1億8左右現在啊
transcript.whisperx[5].start 111.691
transcript.whisperx[5].end 127.245
transcript.whisperx[5].text 現在又回升了又大概在3億5到4億左右所以平均一年等於高達1000億以上那這個金額是龐大到幾乎是我們這個社會已經無法容忍
transcript.whisperx[6].start 128.996
transcript.whisperx[6].end 153.547
transcript.whisperx[6].text 但是針對銀行的部分我們希望說他能夠加強對警事戶管理不要讓這些詐騙藉由銀行資金去流通這個方向是對的可是在執行了這一年以來那麼尤其銀行引入AI
transcript.whisperx[7].start 154.773
transcript.whisperx[7].end 182.181
transcript.whisperx[7].text 那來對於警示戶來提前警示那現在有出了一些狀況比方說某大銀行啊他自己聲稱說他引進這個AI以後他們大量的這就排除了很多他們列為警示戶但是他自己宣稱他這樣子他的AI模型準確率
transcript.whisperx[8].start 183.701
transcript.whisperx[8].end 211.761
transcript.whisperx[8].text 他認為高達50%欸 主委高達50%但是相對他的誤差率也有50%啊天啊 那被他錯殺的戶頭非常痛苦幾乎跟受詐騙的民眾一樣跟受害民眾一樣也是痛不欲生啊比方說這樣子對老人家
transcript.whisperx[9].start 213.724
transcript.whisperx[9].end 235.756
transcript.whisperx[9].text 對於經濟弱勢者對於小兒存款戶對於零工經濟對於身障者對他們都生活上還有學生族群對他們都造成很大的影響所以這一個部分我認為我們應該要做一個
transcript.whisperx[10].start 239.528
transcript.whisperx[10].end 263.723
transcript.whisperx[10].text 檢討了啦因為現在對AI帳戶的警示他們是說半年或者一年以上沒有交易或者戶頭裡面沒有達到銀行公告的應該要有的存款餘額這是小額的那銀行就認為這個有風險就把它剔除還有就是說如果你單日裡面交易比數多的話
transcript.whisperx[11].start 265.317
transcript.whisperx[11].end 280.69
transcript.whisperx[11].text 這一些是他們的標準但是但是主委難道小兒存款戶他就沒有開戶的權利嗎他就沒有使用金融服務的權利嗎
transcript.whisperx[12].start 282.614
transcript.whisperx[12].end 306.083
transcript.whisperx[12].text 所以我具體建議你們要針對現在已經高達我舉例喔我們在2022年的時候警示帳戶是6萬6千戶到今年年初這是根據我們金管會銀行局的報告裡面說到今年1月警示戶已經突破15萬戶但是但是
transcript.whisperx[13].start 310.58
transcript.whisperx[13].end 329.345
transcript.whisperx[13].text 各種調查機構還有包括網路上做的一些調查大家估計啊其實這個無端捲入受害的民眾他戶頭被凍結戶頭被排除不能使用的高達兩百萬戶
transcript.whisperx[14].start 332.09
transcript.whisperx[14].end 359.297
transcript.whisperx[14].text 這是民間的評估那以我們民意代表接到的接到的說這個戶頭他被凍結他是無辜的要去解凍的以我們接到的每天接到的量數來看我在想如果沒有達到200萬戶以上那至少數字是遠高於我們金管會所估計的15萬戶那我認為這樣
transcript.whisperx[15].start 362.045
transcript.whisperx[15].end 388.036
transcript.whisperx[15].text 我跟他們說如果第一點要區分第一點如果是檢警調他們通報要警示這個絕對沒第二句話這個我們就依法依規那這個要等檢調去查這個可營資金來源那再去解除但是第二點對於我們銀行自己管理尤其透過
transcript.whisperx[16].start 389.697
transcript.whisperx[16].end 405.324
transcript.whisperx[16].text 失誤率高達50%高達50%的誤判的這樣子的AI來警示的部分我們應該要區分啊要區分說這個高中低的風險
transcript.whisperx[17].start 407.225
transcript.whisperx[17].end 423.651
transcript.whisperx[17].text 金額越小越低嘛還有是不是針對銀行自己過濾以後要去排除的要去做為警示戶的是不是比方說他要做到說第一個他要用簡訊通知這個戶頭啊
transcript.whisperx[18].start 426.381
transcript.whisperx[18].end 442.84
transcript.whisperx[18].text 這位開戶人說我已經把你列為情侍了因為你達到我們銀行說的那幾項第二點 是不是在他交易之前交易的時候就要告知比方說有南部父母親
transcript.whisperx[19].start 445.434
transcript.whisperx[19].end 469.825
transcript.whisperx[19].text 匯錢到北部小孩在北部讀書啊每個月匯5000塊生活費你不要等到匯進來的他要用的時候才發現說原來他也被列為省事務為什麼因為他小兒嘛他沒有達到銀行所謂的存款餘額沒有達到他們的標準那
transcript.whisperx[20].start 472.582
transcript.whisperx[20].end 487.624
transcript.whisperx[20].text 錢匯進來才知道不能用這些都是銀行其實可以做到的他們能不能做到會不會去做就在乎我們金管會要不要對他們要求啦你的看法呢
transcript.whisperx[21].start 488.462
transcript.whisperx[21].end 503.551
transcript.whisperx[21].text 我想剛才委員提到很多是非常非常好的建議就是我們現在也在做的第一個可能民眾搞不清楚這是到底是因為有人報案的警示帳戶還是銀行自己卡控我們會來做一個區分那再來就是說
transcript.whisperx[22].start 504.511
transcript.whisperx[22].end 532.486
transcript.whisperx[22].text 那個準確率不高這件事情一定要改善因為否則的話我們的美意就剛好打折扣所以我的意思是說這部分我覺得該委員用分級分區然後通知事前比如說事後通知還有加速假設真的是比如說去解控要盡量的加快速度這個如果沒有問題的話當然精準是最重要的如果說精準做不到我想這些很多問題根源都來自於這裡
transcript.whisperx[23].start 533.782
transcript.whisperx[23].end 559.533
transcript.whisperx[23].text 你剛講到這個很好 你說加速解控的部分 對好不容易 銀行局要求之下那這些銀行有去設他們還設這個叫24小時專線說你要是無辜被控 被列為情愫你可以用電話來解控可是 這樣子的服務我四個字形容形同虛設 為什麼
transcript.whisperx[24].start 561.374
transcript.whisperx[24].end 579.277
transcript.whisperx[24].text 因為電話去啦談一談以後他結論還是要開戶者說你要到銀行來臨櫃辦理臨櫃辦理就算了喔有的還要求說你要到原開戶銀行哇天啊
transcript.whisperx[25].start 580.42
transcript.whisperx[25].end 599.887
transcript.whisperx[25].text 這些對於就我剛剛講的老人家生長子還有學生族群甚至商班族群他也這個非常的困擾就對那有很多實質的例子啦比方說打零工維生的就光我這邊辦公室接貨的打零工維生的
transcript.whisperx[26].start 601.24
transcript.whisperx[26].end 618.155
transcript.whisperx[26].text 他的戶頭金額不大但是有時候他會零星去存入幾筆存入都很小他一天打零工收一千八兩千塊他這樣子去存入這何錯之有這種也被控管也包括就是說
transcript.whisperx[27].start 620.845
transcript.whisperx[27].end 630.616
transcript.whisperx[27].text 小兒金額多了以後那銀行就說我要看你的金流對這個金流要提出解釋我請問詐騙都那麼龐大的金額我們每一天2億5到4億被詐騙
transcript.whisperx[28].start 637.384
transcript.whisperx[28].end 666.987
transcript.whisperx[28].text 有辦法分成那麼小筆嗎那要幾千個戶頭幾萬個戶頭才有辦法達成的所以偏偏去找這些小金額的麻煩這剛老師銀行啊藉由這一次大家對詐騙的厭惡結果讓他們去排除掉銀行厭惡的小額帳戶不是這樣嗎他覺得小額帳戶他管理麻煩他管理成本高啊所以
transcript.whisperx[29].start 668.488
transcript.whisperx[29].end 691.209
transcript.whisperx[29].text 主委我提醒這句話不要變成黑臉的偷吃 白臉的抵仗我們台灣話講的 黑鳥偷家 白鳥找小這是不對的我們要幫警方檢警調一起防詐 打詐防止這些金融的交流 這是對的
transcript.whisperx[30].start 692.844
transcript.whisperx[30].end 713.215
transcript.whisperx[30].text 但是要對真正詐騙者所以這個部分我希望你們對銀行對各銀行尤其現在有這些烏龍AI在幫助的這些銀行我希望你們能夠對他們加強查查跟管理好不好會 謝謝謝謝委員的指教 謝謝