| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/01ebf86bd8208360ea94f77cfa30a9e3ca1a359a53f99ce1b44eee46cb88a10656400f31e14007595ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
鍾佳濱 |
| 委員發言時間 |
12:21:41 - 12:28:38 |
| 影片長度 |
417 |
| 會議時間 |
2024-12-04T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第2會期交通委員會第13次全體委員會議（事由：一、邀請數位發展部部長黃彥男列席報告業務概況及立法計畫，並備質詢。
二、審查114年度中央政府總預算案關於數位發展部單位預算。
【僅進行詢答；委員預算提案於12月20日中午12時前截止收件】） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
0.62159375 |
| transcript.pyannote[0].end |
13.15971875 |
| transcript.pyannote[1].speaker |
SPEAKER_02 |
| transcript.pyannote[1].start |
25.10721875 |
| transcript.pyannote[1].end |
25.93409375 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
27.58784375 |
| transcript.pyannote[2].end |
40.93596875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
41.40846875 |
| transcript.pyannote[3].end |
44.26034375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
44.36159375 |
| transcript.pyannote[4].end |
48.39471875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
49.06971875 |
| transcript.pyannote[5].end |
49.89659375 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
50.85846875 |
| transcript.pyannote[6].end |
51.29721875 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
52.05659375 |
| transcript.pyannote[7].end |
58.73909375 |
| transcript.pyannote[8].speaker |
SPEAKER_02 |
| transcript.pyannote[8].start |
54.35159375 |
| transcript.pyannote[8].end |
54.80721875 |
| transcript.pyannote[9].speaker |
SPEAKER_02 |
| transcript.pyannote[9].start |
55.27971875 |
| transcript.pyannote[9].end |
55.43159375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
59.12721875 |
| transcript.pyannote[10].end |
62.92409375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
65.80971875 |
| transcript.pyannote[11].end |
66.99096875 |
| transcript.pyannote[12].speaker |
SPEAKER_03 |
| transcript.pyannote[12].start |
66.99096875 |
| transcript.pyannote[12].end |
67.83471875 |
| transcript.pyannote[13].speaker |
SPEAKER_03 |
| transcript.pyannote[13].start |
68.30721875 |
| transcript.pyannote[13].end |
72.15471875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
71.32784375 |
| transcript.pyannote[14].end |
73.28534375 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
73.60596875 |
| transcript.pyannote[15].end |
75.90096875 |
| transcript.pyannote[16].speaker |
SPEAKER_03 |
| transcript.pyannote[16].start |
73.62284375 |
| transcript.pyannote[16].end |
74.38221875 |
| transcript.pyannote[17].speaker |
SPEAKER_03 |
| transcript.pyannote[17].start |
75.63096875 |
| transcript.pyannote[17].end |
79.05659375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
77.30159375 |
| transcript.pyannote[18].end |
79.32659375 |
| transcript.pyannote[19].speaker |
SPEAKER_03 |
| transcript.pyannote[19].start |
79.32659375 |
| transcript.pyannote[19].end |
84.11909375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
83.42721875 |
| transcript.pyannote[20].end |
86.16096875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
86.63346875 |
| transcript.pyannote[21].end |
91.52721875 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
92.26971875 |
| transcript.pyannote[22].end |
97.50096875 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
98.24346875 |
| transcript.pyannote[23].end |
100.84221875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
100.99409375 |
| transcript.pyannote[24].end |
107.62596875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
108.16596875 |
| transcript.pyannote[25].end |
112.89096875 |
| transcript.pyannote[26].speaker |
SPEAKER_02 |
| transcript.pyannote[26].start |
112.89096875 |
| transcript.pyannote[26].end |
112.90784375 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
113.51534375 |
| transcript.pyannote[27].end |
113.97096875 |
| transcript.pyannote[28].speaker |
SPEAKER_02 |
| transcript.pyannote[28].start |
113.97096875 |
| transcript.pyannote[28].end |
114.03846875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
114.03846875 |
| transcript.pyannote[29].end |
115.77659375 |
| transcript.pyannote[30].speaker |
SPEAKER_02 |
| transcript.pyannote[30].start |
114.67971875 |
| transcript.pyannote[30].end |
115.28721875 |
| transcript.pyannote[31].speaker |
SPEAKER_02 |
| transcript.pyannote[31].start |
117.53159375 |
| transcript.pyannote[31].end |
117.54846875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
117.54846875 |
| transcript.pyannote[32].end |
117.97034375 |
| transcript.pyannote[33].speaker |
SPEAKER_02 |
| transcript.pyannote[33].start |
117.97034375 |
| transcript.pyannote[33].end |
118.88159375 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
118.88159375 |
| transcript.pyannote[34].end |
118.89846875 |
| transcript.pyannote[35].speaker |
SPEAKER_02 |
| transcript.pyannote[35].start |
119.40471875 |
| transcript.pyannote[35].end |
119.42159375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
119.42159375 |
| transcript.pyannote[36].end |
123.79221875 |
| transcript.pyannote[37].speaker |
SPEAKER_02 |
| transcript.pyannote[37].start |
119.45534375 |
| transcript.pyannote[37].end |
120.36659375 |
| transcript.pyannote[38].speaker |
SPEAKER_02 |
| transcript.pyannote[38].start |
124.70346875 |
| transcript.pyannote[38].end |
124.99034375 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
124.99034375 |
| transcript.pyannote[39].end |
125.81721875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
126.98159375 |
| transcript.pyannote[40].end |
128.28096875 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
129.46221875 |
| transcript.pyannote[41].end |
131.23409375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
131.62221875 |
| transcript.pyannote[42].end |
132.66846875 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
132.93846875 |
| transcript.pyannote[43].end |
134.22096875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
135.43596875 |
| transcript.pyannote[44].end |
137.24159375 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
137.78159375 |
| transcript.pyannote[45].end |
139.21596875 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
139.82346875 |
| transcript.pyannote[46].end |
143.14784375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
143.53596875 |
| transcript.pyannote[47].end |
147.21471875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
147.50159375 |
| transcript.pyannote[48].end |
151.95659375 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
152.10846875 |
| transcript.pyannote[49].end |
159.56721875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
159.73596875 |
| transcript.pyannote[50].end |
160.79909375 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
160.14096875 |
| transcript.pyannote[51].end |
162.33471875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
162.57096875 |
| transcript.pyannote[52].end |
164.83221875 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
165.23721875 |
| transcript.pyannote[53].end |
168.00471875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
168.44346875 |
| transcript.pyannote[54].end |
170.02971875 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
170.46846875 |
| transcript.pyannote[55].end |
173.43846875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
174.01221875 |
| transcript.pyannote[56].end |
180.49221875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
181.26846875 |
| transcript.pyannote[57].end |
182.92221875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
183.00659375 |
| transcript.pyannote[58].end |
186.36471875 |
| transcript.pyannote[59].speaker |
SPEAKER_02 |
| transcript.pyannote[59].start |
188.35596875 |
| transcript.pyannote[59].end |
188.86221875 |
| transcript.pyannote[60].speaker |
SPEAKER_02 |
| transcript.pyannote[60].start |
189.46971875 |
| transcript.pyannote[60].end |
195.00471875 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
193.94159375 |
| transcript.pyannote[61].end |
198.05909375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
199.57784375 |
| transcript.pyannote[62].end |
205.73721875 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
205.90596875 |
| transcript.pyannote[63].end |
208.50471875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
208.60596875 |
| transcript.pyannote[64].end |
211.08659375 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
211.30596875 |
| transcript.pyannote[65].end |
218.19096875 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
218.39346875 |
| transcript.pyannote[66].end |
220.23284375 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
221.12721875 |
| transcript.pyannote[67].end |
223.25346875 |
| transcript.pyannote[68].speaker |
SPEAKER_02 |
| transcript.pyannote[68].start |
223.59096875 |
| transcript.pyannote[68].end |
226.59471875 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
226.30784375 |
| transcript.pyannote[69].end |
227.82659375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
228.36659375 |
| transcript.pyannote[70].end |
230.42534375 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
230.86409375 |
| transcript.pyannote[71].end |
232.34909375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
232.65284375 |
| transcript.pyannote[72].end |
233.31096875 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
233.83409375 |
| transcript.pyannote[73].end |
237.74909375 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
237.74909375 |
| transcript.pyannote[74].end |
237.76596875 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
237.76596875 |
| transcript.pyannote[75].end |
237.81659375 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
237.81659375 |
| transcript.pyannote[76].end |
239.43659375 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
239.75721875 |
| transcript.pyannote[77].end |
241.09034375 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
242.22096875 |
| transcript.pyannote[78].end |
245.20784375 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
245.25846875 |
| transcript.pyannote[79].end |
251.99159375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
252.48096875 |
| transcript.pyannote[80].end |
253.74659375 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
255.34971875 |
| transcript.pyannote[81].end |
263.87159375 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
264.29346875 |
| transcript.pyannote[82].end |
266.33534375 |
| transcript.pyannote[83].speaker |
SPEAKER_02 |
| transcript.pyannote[83].start |
266.79096875 |
| transcript.pyannote[83].end |
267.90471875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
267.44909375 |
| transcript.pyannote[84].end |
267.71909375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
267.90471875 |
| transcript.pyannote[85].end |
268.02284375 |
| transcript.pyannote[86].speaker |
SPEAKER_02 |
| transcript.pyannote[86].start |
268.02284375 |
| transcript.pyannote[86].end |
278.02971875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
273.76034375 |
| transcript.pyannote[87].end |
274.26659375 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
278.02971875 |
| transcript.pyannote[88].end |
278.24909375 |
| transcript.pyannote[89].speaker |
SPEAKER_02 |
| transcript.pyannote[89].start |
278.24909375 |
| transcript.pyannote[89].end |
278.46846875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
278.29971875 |
| transcript.pyannote[90].end |
284.13846875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
284.57721875 |
| transcript.pyannote[91].end |
286.07909375 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
286.21409375 |
| transcript.pyannote[92].end |
292.10346875 |
| transcript.pyannote[93].speaker |
SPEAKER_02 |
| transcript.pyannote[93].start |
292.10346875 |
| transcript.pyannote[93].end |
292.44096875 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
292.52534375 |
| transcript.pyannote[94].end |
293.82471875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
294.48284375 |
| transcript.pyannote[95].end |
298.95471875 |
| transcript.pyannote[96].speaker |
SPEAKER_02 |
| transcript.pyannote[96].start |
299.03909375 |
| transcript.pyannote[96].end |
299.25846875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
299.62971875 |
| transcript.pyannote[97].end |
301.55346875 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
302.05971875 |
| transcript.pyannote[98].end |
304.27034375 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
304.60784375 |
| transcript.pyannote[99].end |
308.48909375 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
308.59034375 |
| transcript.pyannote[100].end |
309.28221875 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
309.75471875 |
| transcript.pyannote[101].end |
313.11284375 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
313.36596875 |
| transcript.pyannote[102].end |
314.49659375 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
314.78346875 |
| transcript.pyannote[103].end |
315.82971875 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
316.38659375 |
| transcript.pyannote[104].end |
317.70284375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
318.22596875 |
| transcript.pyannote[105].end |
319.57596875 |
| transcript.pyannote[106].speaker |
SPEAKER_02 |
| transcript.pyannote[106].start |
321.70221875 |
| transcript.pyannote[106].end |
321.76971875 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
322.19159375 |
| transcript.pyannote[107].end |
322.22534375 |
| transcript.pyannote[108].speaker |
SPEAKER_02 |
| transcript.pyannote[108].start |
322.22534375 |
| transcript.pyannote[108].end |
322.95096875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
322.95096875 |
| transcript.pyannote[109].end |
323.54159375 |
| transcript.pyannote[110].speaker |
SPEAKER_02 |
| transcript.pyannote[110].start |
323.03534375 |
| transcript.pyannote[110].end |
323.47409375 |
| transcript.pyannote[111].speaker |
SPEAKER_02 |
| transcript.pyannote[111].start |
323.54159375 |
| transcript.pyannote[111].end |
323.72721875 |
| transcript.pyannote[112].speaker |
SPEAKER_02 |
| transcript.pyannote[112].start |
324.40221875 |
| transcript.pyannote[112].end |
329.81909375 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
329.81909375 |
| transcript.pyannote[113].end |
338.42534375 |
| transcript.pyannote[114].speaker |
SPEAKER_02 |
| transcript.pyannote[114].start |
329.83596875 |
| transcript.pyannote[114].end |
330.40971875 |
| transcript.pyannote[115].speaker |
SPEAKER_02 |
| transcript.pyannote[115].start |
331.21971875 |
| transcript.pyannote[115].end |
333.12659375 |
| transcript.pyannote[116].speaker |
SPEAKER_02 |
| transcript.pyannote[116].start |
338.42534375 |
| transcript.pyannote[116].end |
342.23909375 |
| transcript.pyannote[117].speaker |
SPEAKER_02 |
| transcript.pyannote[117].start |
342.49221875 |
| transcript.pyannote[117].end |
346.03596875 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
346.03596875 |
| transcript.pyannote[118].end |
347.99346875 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
348.41534375 |
| transcript.pyannote[119].end |
352.54971875 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
352.76909375 |
| transcript.pyannote[120].end |
355.58721875 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
356.11034375 |
| transcript.pyannote[121].end |
357.83159375 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
357.96659375 |
| transcript.pyannote[122].end |
367.56846875 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
367.93971875 |
| transcript.pyannote[123].end |
386.18159375 |
| transcript.pyannote[124].speaker |
SPEAKER_02 |
| transcript.pyannote[124].start |
386.18159375 |
| transcript.pyannote[124].end |
386.92409375 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
386.80596875 |
| transcript.pyannote[125].end |
388.47659375 |
| transcript.pyannote[126].speaker |
SPEAKER_02 |
| transcript.pyannote[126].start |
388.74659375 |
| transcript.pyannote[126].end |
389.03346875 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
388.84784375 |
| transcript.pyannote[127].end |
388.93221875 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
389.03346875 |
| transcript.pyannote[128].end |
394.11284375 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
394.63596875 |
| transcript.pyannote[129].end |
396.35721875 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
396.72846875 |
| transcript.pyannote[130].end |
398.58471875 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
398.78721875 |
| transcript.pyannote[131].end |
401.28471875 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
401.68971875 |
| transcript.pyannote[132].end |
402.92159375 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
402.97221875 |
| transcript.pyannote[133].end |
403.74846875 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
403.95096875 |
| transcript.pyannote[134].end |
405.21659375 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
405.62159375 |
| transcript.pyannote[135].end |
406.17846875 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
406.27971875 |
| transcript.pyannote[136].end |
407.03909375 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
407.39346875 |
| transcript.pyannote[137].end |
408.30471875 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
408.49034375 |
| transcript.pyannote[138].end |
413.77221875 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
413.87346875 |
| transcript.pyannote[139].end |
414.70034375 |
| transcript.pyannote[140].speaker |
SPEAKER_02 |
| transcript.pyannote[140].start |
414.81846875 |
| transcript.pyannote[140].end |
415.69596875 |
| transcript.pyannote[141].speaker |
SPEAKER_02 |
| transcript.pyannote[141].start |
415.74659375 |
| transcript.pyannote[141].end |
416.11784375 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
416.16846875 |
| transcript.pyannote[142].end |
416.77596875 |
| transcript.pyannote[143].speaker |
SPEAKER_02 |
| transcript.pyannote[143].start |
417.19784375 |
| transcript.pyannote[143].end |
418.12596875 |
| transcript.whisperx[0].start |
0.846 |
| transcript.whisperx[0].end |
11.635 |
| transcript.whisperx[0].text |
主席、在場委員、先進列席政府預算上官員會長、工作夥伴、媒體、記者、女士、新生。又請我們速發部黃部長還有主計處的李處長和人事處的莫處長。好,請部長、處長。我要。 |
| transcript.whisperx[1].start |
28.286 |
| transcript.whisperx[1].end |
49.586 |
| transcript.whisperx[1].text |
部長好兩位處長好我今天不要提呢短期專案補足政府治安能力定期公佈非實名制廣告平台來我們看一下部長既然我們政府的治安能力不足為什麼高考只開11名缺我看一下目前我們中央跟地方的缺額是239個但是呢提報值卻只提報11個結果不到200人來考什麼原因部長 |
| transcript.whisperx[2].start |
52.918 |
| transcript.whisperx[2].end |
62.505 |
| transcript.whisperx[2].text |
請自安署那個書長簡單的說我直接問你啦為什麼是因為我們公部門待遇低嗎你們現在是不是有要求給專業加給跟績效獎金了專業加給合訂了沒簡單好時間有限好報告委員因為這個考試公布是12月28號你簡單告訴我有沒有有沒有幫助 |
| transcript.whisperx[3].start |
73.686 |
| transcript.whisperx[3].end |
76.907 |
| transcript.whisperx[3].text |
政府加薪拚得過民間搶財嗎?美國的AI工程師年薪超過970萬。一般的AI工程師在台灣也有大概300萬,平均月收入是25萬。 |
| transcript.whisperx[4].start |
98.257 |
| transcript.whisperx[4].end |
125.336 |
| transcript.whisperx[4].text |
啊你看你們考試院我看在考試院齁你們現在找的這些人我把名字調出來齁若是資安人員或資訊人員大概最頂到9、9萬或8萬8能比嗎部長你覺得這樣的就算加了專業家籍跟技巧養精有辦法搶得過人嗎確實是一個問題啦那怎麼辦怎麼解決這個是一個來我們來看一下現在公安部資安人員人體多少是不是剛剛那個數字資安人員8萬9萬 |
| transcript.whisperx[5].start |
127.011 |
| transcript.whisperx[5].end |
133.93 |
| transcript.whisperx[5].text |
啊跟明天下一題啊那月薪有10萬嗎?愛芳就像業界為什麼原因你知道嗎? |
| transcript.whisperx[6].start |
135.472 |
| transcript.whisperx[6].end |
159.207 |
| transcript.whisperx[6].text |
因為我們現在政府用的是怎樣?以質蓄心啊。如果你是師長階層的檢任12職等就12萬5。你是科長的9職等的就8萬多。以此類推。也就是說你們的編制是什麼職缺來的人又什麼薪水是不是這樣子?為什麼請人事跟主計來就要請他們幫忙講啊?你們兩位處長趕快過來告訴他。是不是以質蓄心?政府用的是以質蓄心? |
| transcript.whisperx[7].start |
160.267 |
| transcript.whisperx[7].end |
185.563 |
| transcript.whisperx[7].text |
我們趕快趕快因為時間的關係往下看但是呢美國呢軍方很特別啊軍方他們需要這些資訊人才他們叫什麼以薪敘職啊你在民間多少錢我就用多少錢挖你這個錢如果相當於少校你進來就當少校這個錢現在進來是相當於少將你就是當少將部長你覺得如果我們要資安人才我們可以參照美國以薪敘職嗎 |
| transcript.whisperx[8].start |
188.183 |
| transcript.whisperx[8].end |
191.968 |
| transcript.whisperx[8].text |
美國的做法我們沒辦法做,那往下來怎麼辦? |
| transcript.whisperx[9].start |
199.602 |
| transcript.whisperx[9].end |
220.028 |
| transcript.whisperx[9].text |
你們現在做了大概三種一個是用正職或約聘僱那他就是以職續薪加上加給有薪酬上限但是呢可以直接執行另外一種就委外外包廠商包去做另外一種呢就是什麼承攬找人來找學界來找學來承攬委辦然後呢他就寫個研究報告他不能執行沒有薪資上限 |
| transcript.whisperx[10].start |
221.161 |
| transcript.whisperx[10].end |
240.751 |
| transcript.whisperx[10].text |
除了這三種方法有沒有其他方法可以解決我們有那個法人像治安院他信了治安院就是委外啊他能夠直接執行嗎要搖頭到底是不是治安院是不是委外還是承攬治安院是我們的行政法人所以基本上也是辦個政府主席他的心智也這樣有上限嘛可以追得上民間的標準嗎 |
| transcript.whisperx[11].start |
242.488 |
| transcript.whisperx[11].end |
242.728 |
| transcript.whisperx[11].text |
接下來談打詐 |
| transcript.whisperx[12].start |
255.527 |
| transcript.whisperx[12].end |
282.627 |
| transcript.whisperx[12].text |
儘管會說詐騙管道都是來自社群平台其中臉書跟meta加起來市占率四分之三但是呢詐騙廣告占的關係90%有將近6萬件嚴不嚴重嚴重對那你們怎麼做我在我報告裡面講過我們現在就是第一個要落實廣告實名制再來這就是廣告實名制的結果會杜絕很多這種假的很好所以呢我們立法院我質詢了13次我們跟行政院通過了4個法對不對 |
| transcript.whisperx[13].start |
284.668 |
| transcript.whisperx[13].end |
303.839 |
| transcript.whisperx[13].text |
所以你們就說停止非實名制下廣告這是誰做的這一第一槍趙鋒晶開了第一槍是不是對有沒有效果有Meta說什麼數話部說Meta承諾1月前百分之百落實實名制是不是這樣子對真的會落實嗎我們等著看喔身份驗證百分之百落實好接下來 |
| transcript.whisperx[14].start |
304.699 |
| transcript.whisperx[14].end |
319.327 |
| transcript.whisperx[14].text |
可是除了Meta之外未落地的網路平台怎麼納管抖音這裡面有詐騙有毒品有色情小紅書三方詐騙點數卡淘寶也有淘寶小紅書抖音有落地嗎沒有落地沒有落地你怎麼管 |
| transcript.whisperx[15].start |
324.677 |
| transcript.whisperx[15].end |
347.512 |
| transcript.whisperx[15].text |
我們現在這個第一個先處理剛剛講的這個投資詐騙廣告這些大概就是都是那是在有平台有落地的平台你可以要求他對不對那沒有落地的平台怎麼辦怎麼納管也是一樣一個月提一個對應方案可以嗎可以那個這個就是我們就是事業主管機關要我們做網路停止解析我們就會解析好頭目停止解析那是涉請 |
| transcript.whisperx[16].start |
348.513 |
| transcript.whisperx[16].end |
367.309 |
| transcript.whisperx[16].text |
所以除了同步停止解析之外我都猜得到你要做什麼了還有哪些對策其實網路平台如果實名制廣告其實就有很大的影響因為越多非實名制的你下載你的廣告容易受詐騙所以其實業界民間自發性的要求去抵制要非實名制他不下廣告 |
| transcript.whisperx[17].start |
368.61 |
| transcript.whisperx[17].end |
393.459 |
| transcript.whisperx[17].text |
這個請你們定期公佈好不好你們定期公佈那些非實名制的廣告平台以及這平台的詐騙數量供民間參考廣告組自己做決定他要不要持續在這些沒有落地的或非實名制的平台他要不要繼續投放廣告我們讓這個市場力量來發揮機制可不可以以後定期做這個事情可以嗎定期公佈非實名制廣告網路平台及各網路平台的詐騙案件各樣數據 |
| transcript.whisperx[18].start |
395.099 |
| transcript.whisperx[18].end |
416.386 |
| transcript.whisperx[18].text |
讓所有的廣告主知道你不要浪費錢在那些民間通販廣告不但無效而且助長詐騙好不好今天用三個決議兩個報告怎麼樣招攬人才怎麼樣未納管這些未落地的平台未納管錢你怎麼處置以及最後定期公佈好不好部長可以嗎可以好謝謝謝謝委員 |
| IVOD_ID |
157811 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/157811 |
| 日期 |
2024-12-04 |
| 會議資料.會議代碼 |
委員會-11-2-23-13 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
2 |
| 會議資料.會次 |
13 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
23 |
| 會議資料.標題 |
第11屆第2會期交通委員會第13次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2024-12-04T12:21:41+08:00 |
| 結束時間 |
2024-12-04T12:28:38+08:00 |
| 支援功能[0] |
ai-transcript |