iVOD / 162640

Field Value
IVOD_ID 162640
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/162640
日期 2025-06-18
會議資料.會議代碼 委員會-11-3-23-16
會議資料.會議代碼:str 第11屆第3會期交通委員會第16次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 16
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第3會期交通委員會第16次全體委員會議
影片種類 Clip
開始時間 2025-06-18T12:25:34+08:00
結束時間 2025-06-18T12:34:06+08:00
影片長度 00:08:32
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5617cf280bc2552aec22479698b95c46435a35cf529d0c6ca48dd392130a6736682c3a9a74037a9e5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王鴻薇
委員發言時間 12:25:34 - 12:34:06
會議時間 2025-06-18T09:00:00+08:00
會議名稱 立法院第11屆第3會期交通委員會第16次全體委員會議(事由:邀請數位發展部部長黃彥男就「推動AI之產業發展政策」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 3.79409375
transcript.pyannote[0].end 4.08096875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 5.34659375
transcript.pyannote[1].end 6.76409375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 6.86534375
transcript.pyannote[2].end 10.86471875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 11.37096875
transcript.pyannote[3].end 13.31159375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 23.20034375
transcript.pyannote[4].end 24.58409375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 23.30159375
transcript.pyannote[5].end 24.19596875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 25.02284375
transcript.pyannote[6].end 29.95034375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 30.65909375
transcript.pyannote[7].end 33.10596875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 33.59534375
transcript.pyannote[8].end 36.95346875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 37.18971875
transcript.pyannote[9].end 40.66596875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 41.10471875
transcript.pyannote[10].end 52.46159375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 53.01846875
transcript.pyannote[11].end 53.79471875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 54.52034375
transcript.pyannote[12].end 55.98846875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 56.74784375
transcript.pyannote[13].end 57.67596875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 58.55346875
transcript.pyannote[14].end 61.84409375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 62.23221875
transcript.pyannote[15].end 62.65409375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 63.07596875
transcript.pyannote[16].end 64.72971875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 66.43409375
transcript.pyannote[17].end 67.31159375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 68.10471875
transcript.pyannote[18].end 70.61909375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 71.66534375
transcript.pyannote[19].end 77.58846875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 78.01034375
transcript.pyannote[20].end 79.95096875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 80.76096875
transcript.pyannote[21].end 81.08159375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 81.14909375
transcript.pyannote[22].end 81.84096875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 82.90409375
transcript.pyannote[23].end 86.93721875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 87.42659375
transcript.pyannote[24].end 89.85659375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 89.92409375
transcript.pyannote[25].end 98.15909375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 98.37846875
transcript.pyannote[26].end 101.16284375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 101.41596875
transcript.pyannote[27].end 104.89221875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 105.38159375
transcript.pyannote[28].end 109.16159375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 109.65096875
transcript.pyannote[29].end 115.45596875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 116.26596875
transcript.pyannote[30].end 116.77221875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 116.97471875
transcript.pyannote[31].end 120.67034375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 121.17659375
transcript.pyannote[32].end 122.35784375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 122.47596875
transcript.pyannote[33].end 124.80471875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 125.24346875
transcript.pyannote[34].end 126.59346875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 127.35284375
transcript.pyannote[35].end 129.27659375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 129.71534375
transcript.pyannote[36].end 133.83284375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 134.15346875
transcript.pyannote[37].end 136.95471875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 137.00534375
transcript.pyannote[38].end 140.56596875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 140.97096875
transcript.pyannote[39].end 145.78034375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 146.57346875
transcript.pyannote[40].end 148.29471875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 148.61534375
transcript.pyannote[41].end 151.01159375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 151.26471875
transcript.pyannote[42].end 155.50034375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 155.71971875
transcript.pyannote[43].end 161.13659375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 161.74409375
transcript.pyannote[44].end 162.97596875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 163.33034375
transcript.pyannote[45].end 163.73534375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 164.47784375
transcript.pyannote[46].end 166.30034375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 167.00909375
transcript.pyannote[47].end 168.69659375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 170.56971875
transcript.pyannote[48].end 171.49784375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 171.88596875
transcript.pyannote[49].end 175.31159375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 175.46346875
transcript.pyannote[50].end 179.54721875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 180.05346875
transcript.pyannote[51].end 185.82471875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 188.22096875
transcript.pyannote[52].end 189.28409375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 189.40221875
transcript.pyannote[53].end 190.34721875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 191.73096875
transcript.pyannote[54].end 192.50721875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 195.89909375
transcript.pyannote[55].end 196.82721875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 198.41346875
transcript.pyannote[56].end 199.98284375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 200.70846875
transcript.pyannote[57].end 203.59409375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 204.58971875
transcript.pyannote[58].end 205.09596875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 205.31534375
transcript.pyannote[59].end 213.14534375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 213.61784375
transcript.pyannote[60].end 234.81284375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 235.60596875
transcript.pyannote[61].end 236.70284375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 237.12471875
transcript.pyannote[62].end 241.46159375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 241.84971875
transcript.pyannote[63].end 248.19471875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 249.12284375
transcript.pyannote[64].end 250.87784375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 251.51909375
transcript.pyannote[65].end 262.04909375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 263.55096875
transcript.pyannote[66].end 264.31034375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 264.39471875
transcript.pyannote[67].end 264.41159375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 264.41159375
transcript.pyannote[68].end 265.62659375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 265.20471875
transcript.pyannote[69].end 266.72346875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 266.75721875
transcript.pyannote[70].end 271.34721875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 272.12346875
transcript.pyannote[71].end 272.84909375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 273.64221875
transcript.pyannote[72].end 275.97096875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 276.49409375
transcript.pyannote[73].end 281.03346875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 281.16846875
transcript.pyannote[74].end 283.07534375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 283.37909375
transcript.pyannote[75].end 286.45034375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 288.88034375
transcript.pyannote[76].end 290.71971875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 291.14159375
transcript.pyannote[77].end 292.39034375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 291.25971875
transcript.pyannote[78].end 295.46159375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 296.27159375
transcript.pyannote[79].end 300.35534375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 300.97971875
transcript.pyannote[80].end 304.03409375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 304.55721875
transcript.pyannote[81].end 304.75971875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 305.33346875
transcript.pyannote[82].end 305.62034375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 306.04221875
transcript.pyannote[83].end 310.24409375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 311.54346875
transcript.pyannote[84].end 317.70284375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 318.12471875
transcript.pyannote[85].end 323.17034375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 323.76096875
transcript.pyannote[86].end 336.23159375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 336.97409375
transcript.pyannote[87].end 341.90159375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 347.28471875
transcript.pyannote[88].end 347.77409375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 348.48284375
transcript.pyannote[89].end 351.35159375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 351.60471875
transcript.pyannote[90].end 355.35096875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 355.55346875
transcript.pyannote[91].end 364.76721875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 365.08784375
transcript.pyannote[92].end 368.85096875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 369.57659375
transcript.pyannote[93].end 373.30596875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 373.82909375
transcript.pyannote[94].end 384.67971875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 383.19471875
transcript.pyannote[95].end 394.82159375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 395.10846875
transcript.pyannote[96].end 406.06034375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 406.41471875
transcript.pyannote[97].end 411.34221875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 411.56159375
transcript.pyannote[98].end 413.94096875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 414.02534375
transcript.pyannote[99].end 415.93221875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 415.98284375
transcript.pyannote[100].end 417.87284375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 417.56909375
transcript.pyannote[101].end 421.06221875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 419.52659375
transcript.pyannote[102].end 431.18721875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 430.68096875
transcript.pyannote[103].end 434.17409375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 434.17409375
transcript.pyannote[104].end 435.08534375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 434.47784375
transcript.pyannote[105].end 436.90784375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 436.90784375
transcript.pyannote[106].end 451.26846875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 451.26846875
transcript.pyannote[107].end 451.31909375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 451.31909375
transcript.pyannote[108].end 452.07846875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 451.33596875
transcript.pyannote[109].end 467.60346875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 454.01909375
transcript.pyannote[110].end 454.66034375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 454.99784375
transcript.pyannote[111].end 457.84971875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 460.76909375
transcript.pyannote[112].end 462.54096875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 463.78971875
transcript.pyannote[113].end 490.01346875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 488.25846875
transcript.pyannote[114].end 488.71409375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 489.60846875
transcript.pyannote[115].end 494.31659375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 493.82721875
transcript.pyannote[116].end 499.26096875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 498.48471875
transcript.pyannote[117].end 508.79534375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 505.42034375
transcript.pyannote[118].end 506.73659375
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 508.18784375
transcript.pyannote[119].end 512.18721875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 509.48721875
transcript.pyannote[120].end 509.75721875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 511.44471875
transcript.pyannote[121].end 512.81159375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 512.62596875
transcript.pyannote[122].end 512.96346875
transcript.whisperx[0].start 6.098
transcript.whisperx[0].end 29.15
transcript.whisperx[0].text 謝謝主席我請一下我們今天有來的資策會副執行長請資策會副執行長今天我們談的題目非常大就是我們怎麼樣去推動我們的AI產業
transcript.whisperx[1].start 30.68
transcript.whisperx[1].end 55.474
transcript.whisperx[1].text 那資策會當年是由李國鼎先生他所創辦的當時 今天的你們主管機關經濟部沒有來資策會長期以來都是怎麼樣來推進我們的資訊產業政策還有我們促進產業發展現在這AI產業非常重要但是現在的資策會
transcript.whisperx[2].start 58.867
transcript.whisperx[2].end 76.178
transcript.whisperx[2].text 淪為賴清德總統的一個親信的的一個藏身的場所當然今天執行長也沒有來你是副執行長副執行長您自己是台南市政府法治處處長秘書處處長出身你的專長是法律吧是對
transcript.whisperx[3].start 82.932
transcript.whisperx[3].end 108.63
transcript.whisperx[3].text 不是說在資策會裡面不應該有法律相關的人才但是我現在給大家看一看攤開來現在的資策會的人士裡面大家就可以看到這種酬庸有多麼的嚴重而且幾乎都集中在過去賴清德總統擔任台南市政府時代的人馬包含你們現在的AI研究院的院長
transcript.whisperx[4].start 109.724
transcript.whisperx[4].end 131.75
transcript.whisperx[4].text 他雖然頂著所謂的資管博士台灣資管博士你到路上也是一把抓他的經歷是什麼呢主要是南台科大的助教然後就是台南市政府研考會的主委其他沒有沒有其他任何相關的有關於跟資策會資訊產業相關的資歷了還有更離譜的叫做吳唐成
transcript.whisperx[5].start 137.25
transcript.whisperx[5].end 165.823
transcript.whisperx[5].text 他擔任資策會的資深規劃師結果呢 被抓包 去年底被抓包他最愛看的是政論節目啊然後在工作的時候 在這邊睡覺剛才齁 我們裡面也有官員齁 一在睡齁我看你醒了我就不點你名利啊這太離譜了 我們好幾個委員在質詢啊你睡的已經不知道那個什麼 何年何月了這個吳唐晨 在工作的時候睡覺
transcript.whisperx[6].start 167.223
transcript.whisperx[6].end 185.787
transcript.whisperx[6].text 製策會的人看不下去了對外爆料好再來更離譜的有一位叫做曾柏瑜他因為參選民進黨新北市的議員落選然後去擔任製策會的資安科技研究所國際合作總監那你知道他的資歷是什麼呢他學什麼的
transcript.whisperx[7].start 195.968
transcript.whisperx[7].end 202.093
transcript.whisperx[7].text 社會學系社會學系去擔任資安科技研究所國際合作總監
transcript.whisperx[8].start 205.417
transcript.whisperx[8].end 228.319
transcript.whisperx[8].text 那我想請問一下我們現在黃仲明董事長我剛才說了資策會過去是李國鼎先生創辦的那很多的歷任的部長包含黃仲明董事長前一任他最後很倒楣他本來任期應該到2026提前讓他走路只是為了讓黃仲明當董事長前一任叫做李世光他擔任過經濟部長
transcript.whisperx[9].start 229.76
transcript.whisperx[9].end 247.562
transcript.whisperx[9].text 過去資策會董事長裡面很多都是經濟部長卸任來擔任資策會董事長這一位黃仲明董事長他有什麼背景呢又來了新外資友會台南分會會長行政院政務顧問台南市政府市政顧問
transcript.whisperx[10].start 249.181
transcript.whisperx[10].end 275.456
transcript.whisperx[10].text 那我請問 副執行長 董事長來了之後認為董事長都是無薪的 所以他要求要有薪水所以請問一下 現在這次會給新任的董事長薪水了嗎有給 一個月多少錢這個是董事會通過的當然通過啊 他要求當然通過 過去另一任董事長都是沒有拿薪水的 但是我剛講了
transcript.whisperx[11].start 276.533
transcript.whisperx[11].end 304.561
transcript.whisperx[11].text 委員我們過去也有專任的董事長他是給付薪水的好那現在你們黃宗明你們給付他多少薪水一個月董事會的薪酬委員會有沒有超過院長有沒有超過現在的五院的院長薪水沒有我們本來就有限制不能夠超過那個部會首長那現在是多少呢部會首長沒有超過部會首長是
transcript.whisperx[12].start 306.111
transcript.whisperx[12].end 322.902
transcript.whisperx[12].text 我要講的是你們現在未來再禁用已經藏了這麼多資社會我覺得不應該淪落成一個政治性酬庸的地方而且怎麼如此的集中全部都是過去台單市政府任職的
transcript.whisperx[13].start 323.857
transcript.whisperx[13].end 333.661
transcript.whisperx[13].text 我不是說在台南市政府認知不好但是我剛才講了這麼多如此的集中合理嗎我們還要發展什麼樣AI產業這次會未來對於我們AI產業的發展還能有什麼貢獻呢好時間暫停一下對不起我想請速發部部長利用一點點時間好不好
transcript.whisperx[14].start 347.321
transcript.whisperx[14].end 367.863
transcript.whisperx[14].text 部長有一個也很重要的問題剛才大家講了很多中華電信的數位憑證不被認證但是最近還發生了一個就是很多公民營銀行通通拒絕暫停使用自然人民證自然人民證使用的其實非常廣泛很多人拿來報稅
transcript.whisperx[15].start 370.213
transcript.whisperx[15].end 384.298
transcript.whisperx[15].text 很多人拿來去做銀行的開戶數位帳戶那所以現在連公民銀行這還包含我們的公股銀行喔都對自然人憑證是暫停使用請問一下這個你們有什麼
transcript.whisperx[16].start 384.978
transcript.whisperx[16].end 413.739
transcript.whisperx[16].text 這個不是對自然憑證不信任而是說我們過去有很多人把自然憑證跟密碼交給詐騙集團所以他們用自然憑證跟密碼去開的這個詐騙帳戶是因為這樣關係所以暫時把它停止但是現在要求就是說以後你要開戶你要用video就是說確定是那個人不要說假的不是說不要借給人家所以重點是在當以前民眾把自然憑證跟密碼交給詐騙集團這件事情造成這個這個目前影響暫停的理由
transcript.whisperx[17].start 414.079
transcript.whisperx[17].end 433.971
transcript.whisperx[17].text 那但是他是全面暫停啊部分銀行暫停但是我沒有我的意思這些銀行就是全面暫停自然人民銀行暫停因為有很多人把自然憑證借給詐騙集團然後給了帳號密碼給了密碼所以我覺得這個是我們一直在宣傳說自然憑證現在因為他可以開帳可以開那個當然是詐騙行為而因此而變成是
transcript.whisperx[18].start 434.992
transcript.whisperx[18].end 449.264
transcript.whisperx[18].text 現在這麼多銀行暫停使用所以現在有改進措施就是說你要開戶用自然憑證開戶的時候同時要做video conference就是說你要你要在跟銀行的行員還是要面對面的去開戶不能夠只是拿個憑證然後因為現在
transcript.whisperx[19].start 451.246
transcript.whisperx[19].end 453.229
transcript.whisperx[19].text 這就是我們的數位大退步啦因為我們過去你開戶要拿雙憑證然後要拍照但是後來就是有這種數位憑證現在就是又倒退回倒退回我們的時期時代的時候
transcript.whisperx[20].start 467.746
transcript.whisperx[20].end 490.216
transcript.whisperx[20].text 以後會用指紋 比如說FIDO用指紋辨識這可能是我們以後要推動但是以目前的治安憑證就是要確認可能就是看影像有可能要做影像辨識也可以就是說你要確定是那個人用這張卡片才不會說我卡片被別人偷走或者帳號被偷走做一些不法的事情這個是目前遇到的問題不是治安憑證本身的問題所以這個又變成回過頭來還是因為詐騙的關係啊
transcript.whisperx[21].start 494.258
transcript.whisperx[21].end 511.296
transcript.whisperx[21].text 詐騙集團在欺騙在借自然人憑證去開人口戶可是這使得我們很多自然人憑證其他的使用人沒有被詐騙的最後也沒有辦法使用但是還是要有防堵的方式就是現在用影片就是用影像辨識來辨識日本人好 謝謝