| IVOD_ID |
164172 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/164172 |
| 日期 |
2025-10-15 |
| 會議資料.會議代碼 |
委員會-11-4-23-3 |
| 會議資料.會議代碼:str |
第11屆第4會期交通委員會第3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 |
3 |
| 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4會期交通委員會第3次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-10-15T11:07:40+08:00 |
| 結束時間 |
2025-10-15T11:16:56+08:00 |
| 影片長度 |
00:09:16 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/d759c3dbefb57db60fdf119899d22e6732e8c280ed77980f92e8362d61d61ef2ab3a0f130147b6495ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
林俊憲 |
| 委員發言時間 |
11:07:40 - 11:16:56 |
| 會議時間 |
2025-10-15T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期交通委員會第3次全體委員會議（事由：邀請數位發展部部長林宜敬列席報告業務概況，並備質詢。
【10月15日及16日二天一次會】） |
| transcript.pyannote[0].speaker |
SPEAKER_02 |
| transcript.pyannote[0].start |
2.52846875 |
| transcript.pyannote[0].end |
5.85284375 |
| transcript.pyannote[1].speaker |
SPEAKER_02 |
| transcript.pyannote[1].start |
6.88221875 |
| transcript.pyannote[1].end |
7.60784375 |
| transcript.pyannote[2].speaker |
SPEAKER_02 |
| transcript.pyannote[2].start |
12.19784375 |
| transcript.pyannote[2].end |
12.21471875 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
12.21471875 |
| transcript.pyannote[3].end |
12.83909375 |
| transcript.pyannote[4].speaker |
SPEAKER_02 |
| transcript.pyannote[4].start |
12.83909375 |
| transcript.pyannote[4].end |
12.94034375 |
| transcript.pyannote[5].speaker |
SPEAKER_02 |
| transcript.pyannote[5].start |
12.97409375 |
| transcript.pyannote[5].end |
17.14221875 |
| transcript.pyannote[6].speaker |
SPEAKER_02 |
| transcript.pyannote[6].start |
17.64846875 |
| transcript.pyannote[6].end |
22.71096875 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
22.18784375 |
| transcript.pyannote[7].end |
22.35659375 |
| transcript.pyannote[8].speaker |
SPEAKER_02 |
| transcript.pyannote[8].start |
23.30159375 |
| transcript.pyannote[8].end |
24.44909375 |
| transcript.pyannote[9].speaker |
SPEAKER_02 |
| transcript.pyannote[9].start |
24.80346875 |
| transcript.pyannote[9].end |
27.53721875 |
| transcript.pyannote[10].speaker |
SPEAKER_02 |
| transcript.pyannote[10].start |
27.68909375 |
| transcript.pyannote[10].end |
30.16971875 |
| transcript.pyannote[11].speaker |
SPEAKER_02 |
| transcript.pyannote[11].start |
30.30471875 |
| transcript.pyannote[11].end |
31.60409375 |
| transcript.pyannote[12].speaker |
SPEAKER_02 |
| transcript.pyannote[12].start |
31.63784375 |
| transcript.pyannote[12].end |
35.02971875 |
| transcript.pyannote[13].speaker |
SPEAKER_02 |
| transcript.pyannote[13].start |
35.40096875 |
| transcript.pyannote[13].end |
36.48096875 |
| transcript.pyannote[14].speaker |
SPEAKER_02 |
| transcript.pyannote[14].start |
36.93659375 |
| transcript.pyannote[14].end |
39.36659375 |
| transcript.pyannote[15].speaker |
SPEAKER_02 |
| transcript.pyannote[15].start |
39.90659375 |
| transcript.pyannote[15].end |
42.25221875 |
| transcript.pyannote[16].speaker |
SPEAKER_02 |
| transcript.pyannote[16].start |
42.55596875 |
| transcript.pyannote[16].end |
82.85346875 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
43.82159375 |
| transcript.pyannote[17].end |
43.83846875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
48.10784375 |
| transcript.pyannote[18].end |
48.31034375 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
60.49409375 |
| transcript.pyannote[19].end |
60.83159375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
69.47159375 |
| transcript.pyannote[20].end |
69.74159375 |
| transcript.pyannote[21].speaker |
SPEAKER_02 |
| transcript.pyannote[21].start |
83.34284375 |
| transcript.pyannote[21].end |
88.54034375 |
| transcript.pyannote[22].speaker |
SPEAKER_02 |
| transcript.pyannote[22].start |
88.96221875 |
| transcript.pyannote[22].end |
91.05471875 |
| transcript.pyannote[23].speaker |
SPEAKER_02 |
| transcript.pyannote[23].start |
91.54409375 |
| transcript.pyannote[23].end |
95.76284375 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
93.97409375 |
| transcript.pyannote[24].end |
94.81784375 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
95.17221875 |
| transcript.pyannote[25].end |
95.56034375 |
| transcript.pyannote[26].speaker |
SPEAKER_02 |
| transcript.pyannote[26].start |
96.15096875 |
| transcript.pyannote[26].end |
97.41659375 |
| transcript.pyannote[27].speaker |
SPEAKER_02 |
| transcript.pyannote[27].start |
98.24346875 |
| transcript.pyannote[27].end |
99.40784375 |
| transcript.pyannote[28].speaker |
SPEAKER_02 |
| transcript.pyannote[28].start |
99.64409375 |
| transcript.pyannote[28].end |
100.06596875 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
100.42034375 |
| transcript.pyannote[29].end |
119.57346875 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
119.94471875 |
| transcript.pyannote[30].end |
175.17659375 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
175.48034375 |
| transcript.pyannote[31].end |
193.16534375 |
| transcript.pyannote[32].speaker |
SPEAKER_02 |
| transcript.pyannote[32].start |
192.35534375 |
| transcript.pyannote[32].end |
197.02971875 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
196.72596875 |
| transcript.pyannote[33].end |
197.53596875 |
| transcript.pyannote[34].speaker |
SPEAKER_02 |
| transcript.pyannote[34].start |
197.53596875 |
| transcript.pyannote[34].end |
198.34596875 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
198.91971875 |
| transcript.pyannote[35].end |
201.14721875 |
| transcript.pyannote[36].speaker |
SPEAKER_02 |
| transcript.pyannote[36].start |
200.75909375 |
| transcript.pyannote[36].end |
202.39596875 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
202.61534375 |
| transcript.pyannote[37].end |
202.64909375 |
| transcript.pyannote[38].speaker |
SPEAKER_02 |
| transcript.pyannote[38].start |
202.64909375 |
| transcript.pyannote[38].end |
203.13846875 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
202.71659375 |
| transcript.pyannote[39].end |
202.96971875 |
| transcript.pyannote[40].speaker |
SPEAKER_02 |
| transcript.pyannote[40].start |
203.30721875 |
| transcript.pyannote[40].end |
205.83846875 |
| transcript.pyannote[41].speaker |
SPEAKER_02 |
| transcript.pyannote[41].start |
206.24346875 |
| transcript.pyannote[41].end |
212.77409375 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
210.17534375 |
| transcript.pyannote[42].end |
211.49159375 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
212.90909375 |
| transcript.pyannote[43].end |
214.81596875 |
| transcript.pyannote[44].speaker |
SPEAKER_02 |
| transcript.pyannote[44].start |
214.49534375 |
| transcript.pyannote[44].end |
215.01846875 |
| transcript.pyannote[45].speaker |
SPEAKER_02 |
| transcript.pyannote[45].start |
215.27159375 |
| transcript.pyannote[45].end |
218.07284375 |
| transcript.pyannote[46].speaker |
SPEAKER_02 |
| transcript.pyannote[46].start |
218.49471875 |
| transcript.pyannote[46].end |
229.73346875 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
222.17346875 |
| transcript.pyannote[47].end |
223.43909375 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
225.98721875 |
| transcript.pyannote[48].end |
226.96596875 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
230.07096875 |
| transcript.pyannote[49].end |
230.83034375 |
| transcript.pyannote[50].speaker |
SPEAKER_02 |
| transcript.pyannote[50].start |
230.10471875 |
| transcript.pyannote[50].end |
233.44596875 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
233.96909375 |
| transcript.pyannote[51].end |
245.20784375 |
| transcript.pyannote[52].speaker |
SPEAKER_02 |
| transcript.pyannote[52].start |
243.26721875 |
| transcript.pyannote[52].end |
243.65534375 |
| transcript.pyannote[53].speaker |
SPEAKER_02 |
| transcript.pyannote[53].start |
244.54971875 |
| transcript.pyannote[53].end |
258.25221875 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
249.49409375 |
| transcript.pyannote[54].end |
249.66284375 |
| transcript.pyannote[55].speaker |
SPEAKER_02 |
| transcript.pyannote[55].start |
258.84284375 |
| transcript.pyannote[55].end |
260.51346875 |
| transcript.pyannote[56].speaker |
SPEAKER_02 |
| transcript.pyannote[56].start |
260.85096875 |
| transcript.pyannote[56].end |
261.69471875 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
262.04909375 |
| transcript.pyannote[57].end |
269.28846875 |
| transcript.pyannote[58].speaker |
SPEAKER_02 |
| transcript.pyannote[58].start |
268.96784375 |
| transcript.pyannote[58].end |
270.25034375 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
270.48659375 |
| transcript.pyannote[59].end |
279.53159375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
277.87784375 |
| transcript.pyannote[60].end |
277.94534375 |
| transcript.pyannote[61].speaker |
SPEAKER_02 |
| transcript.pyannote[61].start |
277.96221875 |
| transcript.pyannote[61].end |
278.01284375 |
| transcript.pyannote[62].speaker |
SPEAKER_02 |
| transcript.pyannote[62].start |
278.08034375 |
| transcript.pyannote[62].end |
278.18159375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
278.18159375 |
| transcript.pyannote[63].end |
278.24909375 |
| transcript.pyannote[64].speaker |
SPEAKER_01 |
| transcript.pyannote[64].start |
279.93659375 |
| transcript.pyannote[64].end |
286.92284375 |
| transcript.pyannote[65].speaker |
SPEAKER_02 |
| transcript.pyannote[65].start |
286.60221875 |
| transcript.pyannote[65].end |
286.63596875 |
| transcript.pyannote[66].speaker |
SPEAKER_02 |
| transcript.pyannote[66].start |
286.66971875 |
| transcript.pyannote[66].end |
286.83846875 |
| transcript.pyannote[67].speaker |
SPEAKER_02 |
| transcript.pyannote[67].start |
287.20971875 |
| transcript.pyannote[67].end |
292.98096875 |
| transcript.pyannote[68].speaker |
SPEAKER_02 |
| transcript.pyannote[68].start |
293.30159375 |
| transcript.pyannote[68].end |
294.06096875 |
| transcript.pyannote[69].speaker |
SPEAKER_02 |
| transcript.pyannote[69].start |
294.28034375 |
| transcript.pyannote[69].end |
294.95534375 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
294.36471875 |
| transcript.pyannote[70].end |
294.55034375 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
294.55034375 |
| transcript.pyannote[71].end |
294.70221875 |
| transcript.pyannote[72].speaker |
SPEAKER_02 |
| transcript.pyannote[72].start |
295.10721875 |
| transcript.pyannote[72].end |
305.53596875 |
| transcript.pyannote[73].speaker |
SPEAKER_02 |
| transcript.pyannote[73].start |
305.87346875 |
| transcript.pyannote[73].end |
311.84721875 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
307.44284375 |
| transcript.pyannote[74].end |
307.61159375 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
311.96534375 |
| transcript.pyannote[75].end |
313.38284375 |
| transcript.pyannote[76].speaker |
SPEAKER_02 |
| transcript.pyannote[76].start |
312.21846875 |
| transcript.pyannote[76].end |
331.55721875 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
314.80034375 |
| transcript.pyannote[77].end |
315.17159375 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
326.91659375 |
| transcript.pyannote[78].end |
326.96721875 |
| transcript.pyannote[79].speaker |
SPEAKER_02 |
| transcript.pyannote[79].start |
333.10971875 |
| transcript.pyannote[79].end |
337.22721875 |
| transcript.pyannote[80].speaker |
SPEAKER_02 |
| transcript.pyannote[80].start |
337.42971875 |
| transcript.pyannote[80].end |
344.31471875 |
| transcript.pyannote[81].speaker |
SPEAKER_02 |
| transcript.pyannote[81].start |
345.68159375 |
| transcript.pyannote[81].end |
351.67221875 |
| transcript.pyannote[82].speaker |
SPEAKER_02 |
| transcript.pyannote[82].start |
352.00971875 |
| transcript.pyannote[82].end |
357.27471875 |
| transcript.pyannote[83].speaker |
SPEAKER_02 |
| transcript.pyannote[83].start |
357.46034375 |
| transcript.pyannote[83].end |
361.25721875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
359.13096875 |
| transcript.pyannote[84].end |
362.35409375 |
| transcript.pyannote[85].speaker |
SPEAKER_02 |
| transcript.pyannote[85].start |
361.86471875 |
| transcript.pyannote[85].end |
365.39159375 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
362.47221875 |
| transcript.pyannote[86].end |
362.69159375 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
363.45096875 |
| transcript.pyannote[87].end |
371.29784375 |
| transcript.pyannote[88].speaker |
SPEAKER_02 |
| transcript.pyannote[88].start |
368.53034375 |
| transcript.pyannote[88].end |
368.95221875 |
| transcript.pyannote[89].speaker |
SPEAKER_02 |
| transcript.pyannote[89].start |
370.92659375 |
| transcript.pyannote[89].end |
373.40721875 |
| transcript.pyannote[90].speaker |
SPEAKER_02 |
| transcript.pyannote[90].start |
374.30159375 |
| transcript.pyannote[90].end |
379.71846875 |
| transcript.pyannote[91].speaker |
SPEAKER_02 |
| transcript.pyannote[91].start |
380.07284375 |
| transcript.pyannote[91].end |
417.33284375 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
382.11471875 |
| transcript.pyannote[92].end |
382.46909375 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
382.46909375 |
| transcript.pyannote[93].end |
382.51971875 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
383.58284375 |
| transcript.pyannote[94].end |
383.95409375 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
405.79034375 |
| transcript.pyannote[95].end |
406.22909375 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
407.86596875 |
| transcript.pyannote[96].end |
408.13596875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
413.18159375 |
| transcript.pyannote[97].end |
414.76784375 |
| transcript.pyannote[98].speaker |
SPEAKER_02 |
| transcript.pyannote[98].start |
417.63659375 |
| transcript.pyannote[98].end |
430.47846875 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
430.74846875 |
| transcript.pyannote[99].end |
430.91721875 |
| transcript.pyannote[100].speaker |
SPEAKER_02 |
| transcript.pyannote[100].start |
430.91721875 |
| transcript.pyannote[100].end |
431.00159375 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
431.00159375 |
| transcript.pyannote[101].end |
458.69346875 |
| transcript.pyannote[102].speaker |
SPEAKER_02 |
| transcript.pyannote[102].start |
458.82846875 |
| transcript.pyannote[102].end |
468.49784375 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
459.48659375 |
| transcript.pyannote[103].end |
459.72284375 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
464.32971875 |
| transcript.pyannote[104].end |
466.74284375 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
468.49784375 |
| transcript.pyannote[105].end |
482.95971875 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
483.21284375 |
| transcript.pyannote[106].end |
490.06409375 |
| transcript.pyannote[107].speaker |
SPEAKER_02 |
| transcript.pyannote[107].start |
490.33409375 |
| transcript.pyannote[107].end |
508.12034375 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
500.37471875 |
| transcript.pyannote[108].end |
500.56034375 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
509.04846875 |
| transcript.pyannote[109].end |
511.52909375 |
| transcript.pyannote[110].speaker |
SPEAKER_02 |
| transcript.pyannote[110].start |
510.76971875 |
| transcript.pyannote[110].end |
511.09034375 |
| transcript.pyannote[111].speaker |
SPEAKER_02 |
| transcript.pyannote[111].start |
511.64721875 |
| transcript.pyannote[111].end |
513.79034375 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
514.31346875 |
| transcript.pyannote[112].end |
514.81971875 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
515.02221875 |
| transcript.pyannote[113].end |
515.20784375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
516.32159375 |
| transcript.pyannote[114].end |
516.33846875 |
| transcript.pyannote[115].speaker |
SPEAKER_02 |
| transcript.pyannote[115].start |
516.33846875 |
| transcript.pyannote[115].end |
517.84034375 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
516.47346875 |
| transcript.pyannote[116].end |
516.52409375 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
516.65909375 |
| transcript.pyannote[117].end |
523.96596875 |
| transcript.pyannote[118].speaker |
SPEAKER_02 |
| transcript.pyannote[118].start |
522.48096875 |
| transcript.pyannote[118].end |
522.73409375 |
| transcript.pyannote[119].speaker |
SPEAKER_02 |
| transcript.pyannote[119].start |
524.11784375 |
| transcript.pyannote[119].end |
545.75159375 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
543.03471875 |
| transcript.pyannote[120].end |
543.16971875 |
| transcript.pyannote[121].speaker |
SPEAKER_02 |
| transcript.pyannote[121].start |
545.98784375 |
| transcript.pyannote[121].end |
553.68284375 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
551.21909375 |
| transcript.pyannote[122].end |
551.23596875 |
| transcript.pyannote[123].speaker |
SPEAKER_01 |
| transcript.pyannote[123].start |
551.23596875 |
| transcript.pyannote[123].end |
551.62409375 |
| transcript.pyannote[124].speaker |
SPEAKER_02 |
| transcript.pyannote[124].start |
553.80096875 |
| transcript.pyannote[124].end |
554.86409375 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
553.88534375 |
| transcript.pyannote[125].end |
556.19721875 |
| transcript.whisperx[0].start |
2.574 |
| transcript.whisperx[0].end |
5.542 |
| transcript.whisperx[0].text |
好 謝謝主席 本期邀請我們速發部林部長來 林部長請 |
| transcript.whisperx[1].start |
12.296 |
| transcript.whisperx[1].end |
38.701 |
| transcript.whisperx[1].text |
委員長安部長早部長我們今天當然都很關心台灣目前社會充斥的一些虛假的訊息詐騙等等第一個由於現代科技的進步現在詐騙的手段手法真的是越來越可怕防不勝防而且AI的出現更是推高了這種造假的技術層面 |
| transcript.whisperx[2].start |
40.081 |
| transcript.whisperx[2].end |
62.209 |
| transcript.whisperx[2].text |
我給你看幾個圖都是最近很大的新聞用AI變成製造假新聞一個是第一個是製造假新聞賴清德賣台第二個就是郝龍斌因為你選擇當主席跟一個女性親近的照片 |
| transcript.whisperx[3].start |
62.649 |
| transcript.whisperx[3].end |
89.088 |
| transcript.whisperx[3].text |
還有一個來我記得之前這個也是幫黃國昌解套黃國昌勒警察的脖子把那個警察好像被勒得很舒服很爽快再來第四個這個在台南這個也是造假的新聞什麼光電板死了很多魚這些都是AI模擬生成那你對一般人這個其實以假亂證這個 |
| transcript.whisperx[4].start |
91.61 |
| transcript.whisperx[4].end |
116.779 |
| transcript.whisperx[4].text |
很像吧是那裡有寫就寫了就寫了像這個經營你看這樣要怎麼辦基本上對於假訊息的管理跟詐騙訊息的管理在許多機制上是類似的我們可以照理說我們都可以做但是假訊息一個很麻煩的地方是在於說在民主國家裡面言論自由的範疇的問題因為有這個問題然後就是說 |
| transcript.whisperx[5].start |
120.34 |
| transcript.whisperx[5].end |
140.32 |
| transcript.whisperx[5].text |
然後抱歉我稍微說明一下就是說像這個AI生成的影片它在本質上有些人認為說它就是一種諷刺一種用英文講做Parody來講那這個在像這個歐美它幾百年來有那個政治漫畫的這個傳統他們認為是可行的那現在最大的問題是什麼 |
| transcript.whisperx[6].start |
141.421 |
| transcript.whisperx[6].end |
168.07 |
| transcript.whisperx[6].text |
現在的這些AI假影片是以假亂真民眾無法判斷譬如說以前的這個政治漫畫大家可以看到說政治漫畫那個絕對是假的所以現在的關鍵是在於說我必須標示就是說我用AI生成的假影片照理說應該要標示首先在法律上我們在那個打詐專法裡面有規定就是如果說是廣告裡面使用到AI生成的影像或者是影片的話它必須標示 |
| transcript.whisperx[7].start |
169.21 |
| transcript.whisperx[7].end |
198.249 |
| transcript.whisperx[7].text |
然後如果說沒有標示的話我們政府就可以要求像Meta像YouTube這個平台把它下架然後再來就是本身這個YouTube或是那個Facebook他們這個本身這些平台他們的平台守則社群守則裡面有規定就是說你民眾自己貼上去的AI的影像他也必須標示說清楚標示說這是AI組成的就是你必須要有標示這些AI創作對那如果沒有呢 |
| transcript.whisperx[8].start |
199.714 |
| transcript.whisperx[8].end |
216.531 |
| transcript.whisperx[8].text |
對 這時候就衍生第二個問題好 第一個 你是有罰則是如果他是懷有目的 那怕你換是再來 你剛剛有說下架是多少時間可以下架對 這也是問題等他下架 傷害造成啊是 沒錯 沒錯所以我才要請問部長那我們蘇華部 |
| transcript.whisperx[9].start |
218.913 |
| transcript.whisperx[9].end |
232.398 |
| transcript.whisperx[9].text |
我知道你最近有一個網路詐騙通報查詢網是是是我看到這個東西 我覺得是假的我有關鍵 可能你這個有忙你大概平均多久可以處理如果你達到必須下架的這個階段 |
| transcript.whisperx[10].start |
234.039 |
| transcript.whisperx[10].end |
257.006 |
| transcript.whisperx[10].text |
我們接到通報以後我們會迅速分案分案以後請那個譬如說跟內政部有關內政部那邊去做判斷是不是關鍵在於說誰判斷是真訊息還是假訊息你這個往成立以來這種虛假不實的AI就是說你到下架平均是多久的時間這個虛假的東西存活多久第二個你有多少是達到 |
| transcript.whisperx[11].start |
258.925 |
| transcript.whisperx[11].end |
279.354 |
| transcript.whisperx[11].text |
就是說比如說移送法辦的這個程度對 我們第一個就是說我們現在大概基本上在24小時之內我們都可以下架理系休息嗎對 大部分的我們通知那個平台以後平台就必須在24小時之內下架這是法律規定的那當然是說我們要 |
| transcript.whisperx[12].start |
280.034 |
| transcript.whisperx[12].end |
304.822 |
| transcript.whisperx[12].text |
麻煩的就是如同委員講的在判定誰來判定是不是詐騙訊息我們現在是委由各個因為你不要常常說什麼言論自由最後就是用言論自由這個棋子來的當然我們保障人權但是有些是很明顯的你的意見是造假的你當然要有一點強制行政哪有不擔風險的 |
| transcript.whisperx[13].start |
305.982 |
| transcript.whisperx[13].end |
327.04 |
| transcript.whisperx[13].text |
是哪有可能對不對但是這個很明顯的比如說這個藍綠都受害了是沒錯沒錯沒錯我剛給你看三個圖第一個賴清德受害嘛是郝龍斌受害嘛是黃國昌得利啦這個余文這個就是這也是執政黨受害嘛他在打那個光電嘛是對不對你這種狀態之下第一個 |
| transcript.whisperx[14].start |
333.157 |
| transcript.whisperx[14].end |
344.139 |
| transcript.whisperx[14].text |
你比較強調說你比較維持社會的一個安定是那如果很明顯其實你很明顯的你是怕你事後必須擔責任那你什麼事情都做不了 |
| transcript.whisperx[15].start |
346.357 |
| transcript.whisperx[15].end |
372.915 |
| transcript.whisperx[15].text |
你剛講到郵輪自由就是這樣嘛我怕他這樣來告我手話簿我手話簿不太穩其實我覺得你很明顯就可以判斷第一個如果他AI沒有標示就直接下架了是我們選舉也是我們選舉的任何的文宣品選舉的話選罷法有規定啊傳單我們都要簽名對啊對啊我簽名都順便退了就廣告這個也是廣告廣告的部分管理絕對沒有問題因為那現在比較麻煩的是民眾自發性的因為我跟妳講一件事就是對 |
| transcript.whisperx[16].start |
374.369 |
| transcript.whisperx[16].end |
401.282 |
| transcript.whisperx[16].text |
本週 本週渴望各政黨協商沒有異議的話就會通過普發一萬的這個相關的法案和預算是 沒錯那可能就 行政院11月就開始發放了是你現在要發這一萬的那詐騙一大堆是那詐騙集團現在是我們看到台灣有溫暖的一面你看到這個有實在是太可惡像產值超人這也有人做東西出來賣 出來騙錢 |
| transcript.whisperx[17].start |
404.844 |
| transcript.whisperx[17].end |
430.1 |
| transcript.whisperx[17].text |
很幸福尤其這個普發疑患普發疑患現在已經有很多人我想詐騙集團一定很興奮這很好的機會 是啊這算對他們來說有一點掉下來的理由這不可以騙我錢 那也對不起自己所以你看現在有很多的針對這種普發疑患的一種虛假詐騙的行為手段是不是請蘇華部這個時候要特別提高警戒 |
| transcript.whisperx[18].start |
430.799 |
| transcript.whisperx[18].end |
458.654 |
| transcript.whisperx[18].text |
是在這方面我們基本上有幾個策略第一個策略是說我們會跟民眾講說所有跟普發現金有關的訊息還有所有的登記這些作業只有在財政部的這個官網上才進行我們不會只有這個地方有那個別的地方不會有而且現在財政部這個普發現金的網站還沒有正式上線所以你所有民眾我們在這邊跟所有民眾講說你現在如果看到說有什麼普發現金的網址什麼的那個基本上都是假的 |
| transcript.whisperx[19].start |
459.574 |
| transcript.whisperx[19].end |
482.509 |
| transcript.whisperx[19].text |
當然民眾也知道要去財政部現在你看這個王子儀就像財政部像不像對 那這個就要講到根本就是財政部的一模一樣對 那我們就講到另外兩個策略第一個就是我們如果發現到有這種假的網站我們接到通報以後我們馬上用DNS RP是一個技術去把它降低流量甚至於封網 |
| transcript.whisperx[20].start |
483.329 |
| transcript.whisperx[20].end |
498.14 |
| transcript.whisperx[20].text |
然後再來我們把一些可能就是假的網站 類似的網站我們都事先去把它封阻了預防性的把它封阻你看我今天幾乎時間都讓給你做解釋謝謝我就是希望說你要知道說現在來即將要普發一萬這個詐騙集團可以說蠢蠢欲動不是啦 已經動了啦 已經動作了像這個是假的網站 網絡一大堆針對普發一萬的這種虛假網站你了解嗎 |
| transcript.whisperx[21].start |
511.893 |
| transcript.whisperx[21].end |
513.598 |
| transcript.whisperx[21].text |
你說你把它撤銷抓到多少 |
| transcript.whisperx[22].start |
516.545 |
| transcript.whisperx[22].end |
542.299 |
| transcript.whisperx[22].text |
但是我們每天都由TitleLink自動的去搜尋網路上面搜尋看有沒有這個我們希望在這段期間蘇澳部應該要特別因為這個是一個很特殊的情況之下確實也已經發生很多的虛假的網址網站已經出來在配方這一方面還有相關的事情另外就是關於AI生成的一些虛假訊息請蘇澳部 |
| transcript.whisperx[23].start |
546.341 |
| transcript.whisperx[23].end |
555.567 |
| transcript.whisperx[23].text |
好好的來把關好不好現在詐騙可以說是全民最痛恨的一件事情民怨之所在啦是好 謝謝你們的鼓勵跟督促 謝謝 |