IVOD_ID |
163788 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163788 |
日期 |
2025-09-19 |
會議資料.會議代碼 |
全院委員會-11-4-1 |
會議資料.會議代碼:str |
第11屆第4會期第1次全院委員會會議 |
會議資料.屆 |
11 |
會議資料.會期 |
4 |
會議資料.會次 |
1 |
會議資料.種類 |
全院委員會 |
會議資料.標題 |
第11屆第4會期第1次全院委員會會議 |
影片種類 |
Clip |
開始時間 |
2025-09-19T17:07:28+08:00 |
結束時間 |
2025-09-19T17:28:07+08:00 |
影片長度 |
00:20:39 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/8e361f1746a139580d50bc0e6c47be4492108cb222197a2d4aae0189fbb1be880fcb2c0d88e7dc125ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
林德福 |
委員發言時間 |
17:07:28 - 17:28:07 |
會議時間 |
2025-09-19T15:00:00+08:00 |
會議名稱 |
第11屆第4會期第1次全院委員會會議(事由:總統咨,為審計部審計長陳瑞敏任期於114年10月1日屆滿,茲依據憲法第一百零四條規定,提名陳瑞敏續任審計部審計長,咨請同意案。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
0.25034375 |
transcript.pyannote[0].end |
3.96284375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
18.28971875 |
transcript.pyannote[1].end |
21.52971875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
22.06971875 |
transcript.pyannote[2].end |
25.95096875 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
32.46471875 |
transcript.pyannote[3].end |
33.03846875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
33.03846875 |
transcript.pyannote[4].end |
33.27471875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
33.27471875 |
transcript.pyannote[5].end |
33.29159375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
33.29159375 |
transcript.pyannote[6].end |
34.55721875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
35.02971875 |
transcript.pyannote[7].end |
36.88596875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
37.89846875 |
transcript.pyannote[8].end |
41.13846875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
41.45909375 |
transcript.pyannote[9].end |
51.78659375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
52.41096875 |
transcript.pyannote[10].end |
60.12284375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
60.44346875 |
transcript.pyannote[11].end |
64.79721875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
65.40471875 |
transcript.pyannote[12].end |
65.87721875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
66.11346875 |
transcript.pyannote[13].end |
68.40846875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
68.89784375 |
transcript.pyannote[14].end |
69.47159375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
69.80909375 |
transcript.pyannote[15].end |
74.21346875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
74.70284375 |
transcript.pyannote[16].end |
78.43221875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
79.00596875 |
transcript.pyannote[17].end |
84.49034375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
84.76034375 |
transcript.pyannote[18].end |
86.68409375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
87.08909375 |
transcript.pyannote[19].end |
92.11784375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
92.59034375 |
transcript.pyannote[20].end |
96.35346875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
96.58971875 |
transcript.pyannote[21].end |
97.45034375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
99.10409375 |
transcript.pyannote[22].end |
102.19221875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
102.54659375 |
transcript.pyannote[23].end |
103.17096875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
103.44096875 |
transcript.pyannote[24].end |
110.74784375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
112.06409375 |
transcript.pyannote[25].end |
121.39596875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
121.53096875 |
transcript.pyannote[26].end |
137.15721875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
137.19096875 |
transcript.pyannote[27].end |
139.77284375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
139.95846875 |
transcript.pyannote[28].end |
141.66284375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
141.88221875 |
transcript.pyannote[29].end |
143.18159375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
143.31659375 |
transcript.pyannote[30].end |
144.70034375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
145.22346875 |
transcript.pyannote[31].end |
146.57346875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
147.21471875 |
transcript.pyannote[32].end |
148.07534375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
148.46346875 |
transcript.pyannote[33].end |
155.77034375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
155.90534375 |
transcript.pyannote[34].end |
156.44534375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
156.85034375 |
transcript.pyannote[35].end |
161.05221875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
161.08596875 |
transcript.pyannote[36].end |
161.86221875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
162.09846875 |
transcript.pyannote[37].end |
164.29221875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
164.47784375 |
transcript.pyannote[38].end |
167.53221875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
167.92034375 |
transcript.pyannote[39].end |
171.73409375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
172.10534375 |
transcript.pyannote[40].end |
174.34971875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
173.60721875 |
transcript.pyannote[41].end |
174.50159375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
174.50159375 |
transcript.pyannote[42].end |
174.58596875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
174.58596875 |
transcript.pyannote[43].end |
174.61971875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
174.61971875 |
transcript.pyannote[44].end |
174.63659375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
175.09221875 |
transcript.pyannote[45].end |
181.97721875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
182.58471875 |
transcript.pyannote[46].end |
182.60159375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
182.60159375 |
transcript.pyannote[47].end |
184.18784375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
184.74471875 |
transcript.pyannote[48].end |
185.03159375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
185.33534375 |
transcript.pyannote[49].end |
185.84159375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
185.84159375 |
transcript.pyannote[50].end |
185.90909375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
186.29721875 |
transcript.pyannote[51].end |
187.20846875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
187.76534375 |
transcript.pyannote[52].end |
189.41909375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
190.06034375 |
transcript.pyannote[53].end |
190.83659375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
191.30909375 |
transcript.pyannote[54].end |
195.32534375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
195.76409375 |
transcript.pyannote[55].end |
202.93596875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
203.20596875 |
transcript.pyannote[56].end |
211.57596875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
211.81221875 |
transcript.pyannote[57].end |
214.00596875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
214.09034375 |
transcript.pyannote[58].end |
216.72284375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
216.48659375 |
transcript.pyannote[59].end |
216.67221875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
216.70596875 |
transcript.pyannote[60].end |
220.63784375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
220.97534375 |
transcript.pyannote[61].end |
229.21034375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
229.44659375 |
transcript.pyannote[62].end |
231.62346875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
231.99471875 |
transcript.pyannote[63].end |
233.69909375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
234.47534375 |
transcript.pyannote[64].end |
234.96471875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
234.96471875 |
transcript.pyannote[65].end |
235.70721875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
236.23034375 |
transcript.pyannote[66].end |
236.24721875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
236.24721875 |
transcript.pyannote[67].end |
245.96721875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
245.96721875 |
transcript.pyannote[68].end |
246.06846875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
246.13596875 |
transcript.pyannote[69].end |
246.20346875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
246.20346875 |
transcript.pyannote[70].end |
246.23721875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
246.23721875 |
transcript.pyannote[71].end |
247.31721875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
248.19471875 |
transcript.pyannote[72].end |
254.50596875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
255.31596875 |
transcript.pyannote[73].end |
258.64034375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
258.75846875 |
transcript.pyannote[74].end |
281.37096875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
281.70846875 |
transcript.pyannote[75].end |
292.27221875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
292.64346875 |
transcript.pyannote[76].end |
305.36721875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
305.68784375 |
transcript.pyannote[77].end |
321.53346875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
322.71471875 |
transcript.pyannote[78].end |
323.55846875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
323.89596875 |
transcript.pyannote[79].end |
324.70596875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
325.00971875 |
transcript.pyannote[80].end |
331.92846875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
332.58659375 |
transcript.pyannote[81].end |
340.50096875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
340.99034375 |
transcript.pyannote[82].end |
343.92659375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
344.16284375 |
transcript.pyannote[83].end |
356.95409375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
357.12284375 |
transcript.pyannote[84].end |
359.67096875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
359.99159375 |
transcript.pyannote[85].end |
364.68284375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
364.95284375 |
transcript.pyannote[86].end |
365.61096875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
365.96534375 |
transcript.pyannote[87].end |
368.34471875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
368.49659375 |
transcript.pyannote[88].end |
380.93346875 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
382.21596875 |
transcript.pyannote[89].end |
389.91096875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
390.14721875 |
transcript.pyannote[90].end |
404.81159375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
405.09846875 |
transcript.pyannote[91].end |
452.80409375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
452.04471875 |
transcript.pyannote[92].end |
452.38221875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
453.02346875 |
transcript.pyannote[93].end |
453.34409375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
453.68159375 |
transcript.pyannote[94].end |
454.30596875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
454.62659375 |
transcript.pyannote[95].end |
458.50784375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
459.04784375 |
transcript.pyannote[96].end |
460.17846875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
460.46534375 |
transcript.pyannote[97].end |
462.22034375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
462.45659375 |
transcript.pyannote[98].end |
464.61659375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
464.76846875 |
transcript.pyannote[99].end |
466.45596875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
466.74284375 |
transcript.pyannote[100].end |
473.98221875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
474.38721875 |
transcript.pyannote[101].end |
477.81284375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
478.04909375 |
transcript.pyannote[102].end |
481.06971875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
481.44096875 |
transcript.pyannote[103].end |
485.10284375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
485.65971875 |
transcript.pyannote[104].end |
488.41034375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
488.96721875 |
transcript.pyannote[105].end |
491.49846875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
491.93721875 |
transcript.pyannote[106].end |
500.88096875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
501.06659375 |
transcript.pyannote[107].end |
502.70346875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
503.58096875 |
transcript.pyannote[108].end |
506.21346875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
506.61846875 |
transcript.pyannote[109].end |
508.62659375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
508.81221875 |
transcript.pyannote[110].end |
523.52721875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
524.11784375 |
transcript.pyannote[111].end |
526.22721875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
526.68284375 |
transcript.pyannote[112].end |
527.03721875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
527.49284375 |
transcript.pyannote[113].end |
528.96096875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
529.72034375 |
transcript.pyannote[114].end |
540.65534375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
530.22659375 |
transcript.pyannote[115].end |
530.86784375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
541.51596875 |
transcript.pyannote[116].end |
544.18221875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
544.70534375 |
transcript.pyannote[117].end |
549.41346875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
549.76784375 |
transcript.pyannote[118].end |
554.02034375 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
554.27346875 |
transcript.pyannote[119].end |
554.98221875 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
555.10034375 |
transcript.pyannote[120].end |
575.83971875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
574.47284375 |
transcript.pyannote[121].end |
578.89409375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
578.91096875 |
transcript.pyannote[122].end |
578.92784375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
579.07971875 |
transcript.pyannote[123].end |
594.73971875 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
580.10909375 |
transcript.pyannote[124].end |
581.13846875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
581.84721875 |
transcript.pyannote[125].end |
582.72471875 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
583.95659375 |
transcript.pyannote[126].end |
584.64846875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
586.45409375 |
transcript.pyannote[127].end |
587.44971875 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
588.64784375 |
transcript.pyannote[128].end |
589.86284375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
594.94221875 |
transcript.pyannote[129].end |
595.33034375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
595.46534375 |
transcript.pyannote[130].end |
614.51721875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
595.54971875 |
transcript.pyannote[131].end |
596.05596875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
603.32909375 |
transcript.pyannote[132].end |
603.46409375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
603.78471875 |
transcript.pyannote[133].end |
604.89846875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
607.73346875 |
transcript.pyannote[134].end |
608.27346875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
611.15909375 |
transcript.pyannote[135].end |
612.79596875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
613.45409375 |
transcript.pyannote[136].end |
613.99409375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
614.51721875 |
transcript.pyannote[137].end |
618.48284375 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
614.53409375 |
transcript.pyannote[138].end |
614.85471875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
618.85409375 |
transcript.pyannote[139].end |
620.35596875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
620.67659375 |
transcript.pyannote[140].end |
623.14034375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
620.82846875 |
transcript.pyannote[141].end |
621.46971875 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
622.31346875 |
transcript.pyannote[142].end |
636.97784375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
636.97784375 |
transcript.pyannote[143].end |
657.44721875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
645.90471875 |
transcript.pyannote[144].end |
646.52909375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
648.84096875 |
transcript.pyannote[145].end |
648.85784375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
656.40096875 |
transcript.pyannote[146].end |
657.37971875 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
657.91971875 |
transcript.pyannote[147].end |
664.83846875 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
658.79721875 |
transcript.pyannote[148].end |
659.13471875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
660.19784375 |
transcript.pyannote[149].end |
660.23159375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
665.20971875 |
transcript.pyannote[150].end |
678.49034375 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
679.01346875 |
transcript.pyannote[151].end |
692.68221875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
692.95221875 |
transcript.pyannote[152].end |
730.46534375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
730.80284375 |
transcript.pyannote[153].end |
733.09784375 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
734.17784375 |
transcript.pyannote[154].end |
735.00471875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
735.40971875 |
transcript.pyannote[155].end |
740.10096875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
739.71284375 |
transcript.pyannote[156].end |
753.07784375 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
753.14534375 |
transcript.pyannote[157].end |
787.68846875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
787.99221875 |
transcript.pyannote[158].end |
789.34221875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
789.61221875 |
transcript.pyannote[159].end |
791.87346875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
792.36284375 |
transcript.pyannote[160].end |
795.06284375 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
795.06284375 |
transcript.pyannote[161].end |
795.07971875 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
795.51846875 |
transcript.pyannote[162].end |
796.07534375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
796.58159375 |
transcript.pyannote[163].end |
797.18909375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
797.56034375 |
transcript.pyannote[164].end |
808.02284375 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
808.05659375 |
transcript.pyannote[165].end |
811.12784375 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
808.15784375 |
transcript.pyannote[166].end |
808.49534375 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
808.95096875 |
transcript.pyannote[167].end |
815.58284375 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
816.19034375 |
transcript.pyannote[168].end |
816.93284375 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
817.30409375 |
transcript.pyannote[169].end |
827.02409375 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
823.14284375 |
transcript.pyannote[170].end |
823.88534375 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
827.02409375 |
transcript.pyannote[171].end |
829.85909375 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
830.51721875 |
transcript.pyannote[172].end |
839.96721875 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
839.96721875 |
transcript.pyannote[173].end |
845.75534375 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
846.14346875 |
transcript.pyannote[174].end |
851.03721875 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
847.30784375 |
transcript.pyannote[175].end |
847.74659375 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
851.03721875 |
transcript.pyannote[176].end |
865.93784375 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
856.26846875 |
transcript.pyannote[177].end |
856.58909375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
857.33159375 |
transcript.pyannote[178].end |
858.14159375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
861.11159375 |
transcript.pyannote[179].end |
861.95534375 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
866.27534375 |
transcript.pyannote[180].end |
866.34284375 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
866.37659375 |
transcript.pyannote[181].end |
866.39346875 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
866.41034375 |
transcript.pyannote[182].end |
867.57471875 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
867.87846875 |
transcript.pyannote[183].end |
868.35096875 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
868.35096875 |
transcript.pyannote[184].end |
868.41846875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
868.41846875 |
transcript.pyannote[185].end |
902.25284375 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
902.59034375 |
transcript.pyannote[186].end |
908.88471875 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
909.35721875 |
transcript.pyannote[187].end |
909.86346875 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
910.18409375 |
transcript.pyannote[188].end |
914.80784375 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
914.92596875 |
transcript.pyannote[189].end |
937.38659375 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
937.63971875 |
transcript.pyannote[190].end |
946.83659375 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
947.39346875 |
transcript.pyannote[191].end |
951.25784375 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
951.93284375 |
transcript.pyannote[192].end |
952.96221875 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
952.96221875 |
transcript.pyannote[193].end |
954.73409375 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
954.83534375 |
transcript.pyannote[194].end |
955.08846875 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
955.62846875 |
transcript.pyannote[195].end |
956.38784375 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
957.16409375 |
transcript.pyannote[196].end |
958.41284375 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
958.71659375 |
transcript.pyannote[197].end |
965.87159375 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
960.87659375 |
transcript.pyannote[198].end |
961.07909375 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
966.05721875 |
transcript.pyannote[199].end |
972.84096875 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
973.04346875 |
transcript.pyannote[200].end |
977.00909375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
977.41409375 |
transcript.pyannote[201].end |
1000.44846875 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
996.93846875 |
transcript.pyannote[202].end |
997.66409375 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
1000.53284375 |
transcript.pyannote[203].end |
1005.81471875 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
1006.27034375 |
transcript.pyannote[204].end |
1020.39471875 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
1020.68159375 |
transcript.pyannote[205].end |
1022.72346875 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
1023.19596875 |
transcript.pyannote[206].end |
1030.46909375 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
1031.02596875 |
transcript.pyannote[207].end |
1038.60284375 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
1038.80534375 |
transcript.pyannote[208].end |
1051.27596875 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
1051.42784375 |
transcript.pyannote[209].end |
1067.25659375 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
1067.72909375 |
transcript.pyannote[210].end |
1069.53471875 |
transcript.pyannote[211].speaker |
SPEAKER_00 |
transcript.pyannote[211].start |
1070.14221875 |
transcript.pyannote[211].end |
1081.92096875 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
1081.92096875 |
transcript.pyannote[212].end |
1082.41034375 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
1082.41034375 |
transcript.pyannote[213].end |
1082.96721875 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
1082.96721875 |
transcript.pyannote[214].end |
1085.70096875 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
1086.03846875 |
transcript.pyannote[215].end |
1093.76721875 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
1094.03721875 |
transcript.pyannote[216].end |
1098.08721875 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
1098.25596875 |
transcript.pyannote[217].end |
1128.58034375 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
1128.79971875 |
transcript.pyannote[218].end |
1129.18784375 |
transcript.pyannote[219].speaker |
SPEAKER_00 |
transcript.pyannote[219].start |
1129.18784375 |
transcript.pyannote[219].end |
1129.22159375 |
transcript.pyannote[220].speaker |
SPEAKER_00 |
transcript.pyannote[220].start |
1129.23846875 |
transcript.pyannote[220].end |
1130.53784375 |
transcript.pyannote[221].speaker |
SPEAKER_00 |
transcript.pyannote[221].start |
1130.60534375 |
transcript.pyannote[221].end |
1135.27971875 |
transcript.pyannote[222].speaker |
SPEAKER_00 |
transcript.pyannote[222].start |
1135.66784375 |
transcript.pyannote[222].end |
1145.70846875 |
transcript.pyannote[223].speaker |
SPEAKER_00 |
transcript.pyannote[223].start |
1146.11346875 |
transcript.pyannote[223].end |
1151.41221875 |
transcript.pyannote[224].speaker |
SPEAKER_00 |
transcript.pyannote[224].start |
1151.83409375 |
transcript.pyannote[224].end |
1153.55534375 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
1154.11221875 |
transcript.pyannote[225].end |
1156.94721875 |
transcript.pyannote[226].speaker |
SPEAKER_00 |
transcript.pyannote[226].start |
1157.47034375 |
transcript.pyannote[226].end |
1169.02971875 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
1169.45159375 |
transcript.pyannote[227].end |
1176.42096875 |
transcript.pyannote[228].speaker |
SPEAKER_00 |
transcript.pyannote[228].start |
1176.45471875 |
transcript.pyannote[228].end |
1182.24284375 |
transcript.pyannote[229].speaker |
SPEAKER_00 |
transcript.pyannote[229].start |
1183.37346875 |
transcript.pyannote[229].end |
1184.70659375 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
1183.50846875 |
transcript.pyannote[230].end |
1183.52534375 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
1183.79534375 |
transcript.pyannote[231].end |
1184.28471875 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
1185.43221875 |
transcript.pyannote[232].end |
1191.45659375 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
1191.67596875 |
transcript.pyannote[233].end |
1207.03221875 |
transcript.pyannote[234].speaker |
SPEAKER_00 |
transcript.pyannote[234].start |
1191.96284375 |
transcript.pyannote[234].end |
1192.04721875 |
transcript.pyannote[235].speaker |
SPEAKER_00 |
transcript.pyannote[235].start |
1195.60784375 |
transcript.pyannote[235].end |
1198.30784375 |
transcript.pyannote[236].speaker |
SPEAKER_00 |
transcript.pyannote[236].start |
1198.71284375 |
transcript.pyannote[236].end |
1199.40471875 |
transcript.pyannote[237].speaker |
SPEAKER_00 |
transcript.pyannote[237].start |
1206.40784375 |
transcript.pyannote[237].end |
1207.04909375 |
transcript.pyannote[238].speaker |
SPEAKER_01 |
transcript.pyannote[238].start |
1207.87596875 |
transcript.pyannote[238].end |
1207.89284375 |
transcript.pyannote[239].speaker |
SPEAKER_00 |
transcript.pyannote[239].start |
1207.89284375 |
transcript.pyannote[239].end |
1214.00159375 |
transcript.pyannote[240].speaker |
SPEAKER_01 |
transcript.pyannote[240].start |
1208.93909375 |
transcript.pyannote[240].end |
1209.31034375 |
transcript.pyannote[241].speaker |
SPEAKER_01 |
transcript.pyannote[241].start |
1214.00159375 |
transcript.pyannote[241].end |
1214.25471875 |
transcript.pyannote[242].speaker |
SPEAKER_00 |
transcript.pyannote[242].start |
1214.18721875 |
transcript.pyannote[242].end |
1215.92534375 |
transcript.pyannote[243].speaker |
SPEAKER_00 |
transcript.pyannote[243].start |
1216.22909375 |
transcript.pyannote[243].end |
1217.42721875 |
transcript.pyannote[244].speaker |
SPEAKER_00 |
transcript.pyannote[244].start |
1217.88284375 |
transcript.pyannote[244].end |
1224.43034375 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
1218.32159375 |
transcript.pyannote[245].end |
1218.67596875 |
transcript.pyannote[246].speaker |
SPEAKER_00 |
transcript.pyannote[246].start |
1224.64971875 |
transcript.pyannote[246].end |
1230.92721875 |
transcript.pyannote[247].speaker |
SPEAKER_01 |
transcript.pyannote[247].start |
1230.04971875 |
transcript.pyannote[247].end |
1236.42846875 |
transcript.pyannote[248].speaker |
SPEAKER_00 |
transcript.pyannote[248].start |
1234.65659375 |
transcript.pyannote[248].end |
1237.59284375 |
transcript.pyannote[249].speaker |
SPEAKER_00 |
transcript.pyannote[249].start |
1238.55471875 |
transcript.pyannote[249].end |
1240.19159375 |
transcript.whisperx[0].start |
0.369 |
transcript.whisperx[0].end |
22.166 |
transcript.whisperx[0].text |
我們接下來請林德福委員請詢問李坤城委員請準備海院長還有陳審計長是不是請這個陳審計長麻煩再請被提名的陳審計長 |
transcript.whisperx[1].start |
32.489 |
transcript.whisperx[1].end |
35.112 |
transcript.whisperx[1].text |
林委員好市長你好市長我請教 |
transcript.whisperx[2].start |
38.27 |
transcript.whisperx[2].end |
60.823 |
transcript.whisperx[2].text |
有關於修憲相關的議題立法院目前有委員提出憲法增修條文提議要匯除監察院並將中華民國憲法中有關於監察院審計部的職權業務移至立法院並於立法院下設審計部還有審計權的遺留 |
transcript.whisperx[3].start |
66.203 |
transcript.whisperx[3].end |
67.633 |
transcript.whisperx[3].text |
立法院來行使 |
transcript.whisperx[4].start |
70.497 |
transcript.whisperx[4].end |
90.172 |
transcript.whisperx[4].text |
2026年九合一大選很有機會來合併舉行修憲複決的投票未來修憲結果攸關整個審計部組織的歸屬今天提名審查本席請問審計長您對上述的修憲議題對審計部未來定位的看法 |
transcript.whisperx[5].start |
99.161 |
transcript.whisperx[5].end |
110.591 |
transcript.whisperx[5].text |
以提醒建立還是完全尊重未來立法院這個相關決議以未來公民修憲護決的投票的一個結果 |
transcript.whisperx[6].start |
113.197 |
transcript.whisperx[6].end |
119.845 |
transcript.whisperx[6].text |
謝謝委員關心我們對我們審計有非常大的影響的問題依照國際最高審計機關審計的獨立性非常重要就是說法律要保障它 |
transcript.whisperx[7].start |
132.519 |
transcript.whisperx[7].end |
146.278 |
transcript.whisperx[7].text |
座位不受干預 租料企圖不受限 所長要任期大概還有八大支柱 要我們這樣做那這個部分我們如果 |
transcript.whisperx[8].start |
148.88 |
transcript.whisperx[8].end |
172.834 |
transcript.whisperx[8].text |
大宴有成立的修憲委員會如果考監如果有受到影響那我們審計部也會受到影響那我們審計部的立場就是還是要希望能夠維持超然獨立所長的任命要維持在憲法因為這個是最高審計機關希望 |
transcript.whisperx[9].start |
175.168 |
transcript.whisperx[9].end |
190.503 |
transcript.whisperx[9].text |
今天要是經過這個整個憲法遵修條文要是提議通過 你有什麼看法這個部分 因為這個部分 現在世界各國世界各國 |
transcript.whisperx[10].start |
191.62 |
transcript.whisperx[10].end |
215.957 |
transcript.whisperx[10].text |
剛剛講有在國會的也有獨立的也有司法型的也有行政型的差不多有四種大部分除了美國和英國以外大概都是在國會其他最主要的都是獨立因為獨立不受政治的干擾 |
transcript.whisperx[11].start |
217.678 |
transcript.whisperx[11].end |
233.657 |
transcript.whisperx[11].text |
那問題是過去現在的執政黨他們一直主張就是會監察院會考試院啊所以說才有人提出這樣的一個條文啊對不對那要是條文通過那沈記長你有什麼看法 |
transcript.whisperx[12].start |
234.502 |
transcript.whisperx[12].end |
254.105 |
transcript.whisperx[12].text |
我們是希望能夠比照世界各國的大部分的國家能夠獨立於三權之外這樣才能夠超然獨立本席認為強化審計功能能夠強化政府機關經費的有效應用 |
transcript.whisperx[13].start |
255.633 |
transcript.whisperx[13].end |
265.939 |
transcript.whisperx[13].text |
以促進政府整個財政的一個透明增進公共利益來提升政府財政效能來勘緊納稅人的荷包 |
transcript.whisperx[14].start |
267.216 |
transcript.whisperx[14].end |
291.978 |
transcript.whisperx[14].text |
那像AI人工智慧科技發展非常的迅速那本席也從媒體報導得知有審計官來導入AI人工智慧利用AI來查閉比對案件從中果然來發現有一些異常進而揪出不肖的廠商追回部分政府的預算 |
transcript.whisperx[15].start |
293.199 |
transcript.whisperx[15].end |
320.351 |
transcript.whisperx[15].text |
那審計部在115年預算打算推動AI審計資料中心的發展計畫那請陳審計長您來說明目前AI人工智慧在審計方面的應用未來如果要是您繼續來擔任審計長後會如何來強化應用AI人工智慧來追查弊案以協助第一線審計官的辦案 |
transcript.whisperx[16].start |
322.899 |
transcript.whisperx[16].end |
339.87 |
transcript.whisperx[16].text |
報告委員 我剛剛在那裡報告未來的方向第一個 智慧審計第一個方向就是智慧審計我們的人力非常少 我們所有的審計室只有十幾個人 |
transcript.whisperx[17].start |
341.195 |
transcript.whisperx[17].end |
369.726 |
transcript.whisperx[17].text |
十幾個人要審計一個像彰化縣或者是這種只有十幾個人所以要用的就是AIAI可以當我們的審計助理可以當我們的審計顧問這個是這樣但是這個是協助我們行政作為主要的判斷還是審計人員要去做判斷但是現在我們的查帳是用數位比對 |
transcript.whisperx[18].start |
370.906 |
transcript.whisperx[18].end |
380.615 |
transcript.whisperx[18].text |
剛剛查出剛剛委員報告所指示的那幾項大部分都用數位數位 就是說資料庫和資料庫比對像我們查出 |
transcript.whisperx[19].start |
382.908 |
transcript.whisperx[19].end |
398.121 |
transcript.whisperx[19].text |
這個法案已經判刑了這個廠商要停錢我們發現一千多家都沒有停錢所以才會發生那個太魯閣那個案子那個普悠瑪還是太魯閣那個案子啊或者發現我們用這個數位比對發現 |
transcript.whisperx[20].start |
403.426 |
transcript.whisperx[20].end |
428.565 |
transcript.whisperx[20].text |
圍標兩千多件我們都移送減掉我們會用這樣來看有的像這個被法院停錢的要沒收押要不要進我們收回一億六千多萬所以這些都是數位最後用AI做幫忙用數位 用流程主動化每天做這個掃描 |
transcript.whisperx[21].start |
431.427 |
transcript.whisperx[21].end |
452.619 |
transcript.whisperx[21].text |
所以這個智慧審計或者AI審計或者數位審計對我們審計人力有很大的幫助對我們審計人員有很大的幫助我們會發展所以剛剛委員有提到AI審計資料中心是我們2015年主要的工作 |
transcript.whisperx[22].start |
455.927 |
transcript.whisperx[22].end |
473.714 |
transcript.whisperx[22].text |
針對107年中選會前主委陳英前違法失職重新刊登公投公告來啟動第二預備金多花人民納稅前931萬監察院已經認定嚴重損及政府的公信力 |
transcript.whisperx[23].start |
474.474 |
transcript.whisperx[23].end |
502.491 |
transcript.whisperx[23].text |
那憲法法庭以決議不受理懲戒法院也多次駁回在審那最近一次在審是114年4月24日上訴駁回那本席認為這是違法公告官員犯錯卻是用百姓納稅錢來付錢那中選會前主委陳英權必須負起他的責任中選會不當的支出 |
transcript.whisperx[24].start |
503.992 |
transcript.whisperx[24].end |
528.565 |
transcript.whisperx[24].text |
應事後來踢除追繳那已經多少年過去了因為他從107年到現在那陳英權一再來逃避該戶籍的賠償責任本席希望審計部你不要忘記處理陳英權最慢你認為何時可以把錢追回來你是不是給本席一個 |
transcript.whisperx[25].start |
529.741 |
transcript.whisperx[25].end |
554.723 |
transcript.whisperx[25].text |
報告委員 委員非常關心這個案子謝謝委員關心這個案子我們一直也注意到114年以後啊陳寗錢沒有再上市我們就棲了公室給中選會中選會啊我們說這個可能陳寗錢這個部分要處理他中選會回我回我一個意見說那是 |
transcript.whisperx[26].start |
555.776 |
transcript.whisperx[26].end |
578.064 |
transcript.whisperx[26].text |
那是委員會決議的不是從前一個人做的所以初步他回我們這個意見我們的同仁還在研究如何對這個委員會的決議所做的處理所以這個委員關心的我們也非常關心推給所有委員他們共同來決定 |
transcript.whisperx[27].start |
579.204 |
transcript.whisperx[27].end |
582.446 |
transcript.whisperx[27].text |
這個實在是很扯啊我認為那是推託之職我要看你哪時候能夠追出來因為這是給社會一個交代這都是民脂民膏 |
transcript.whisperx[28].start |
595.633 |
transcript.whisperx[28].end |
620.046 |
transcript.whisperx[28].text |
我們也是這樣認為這也對整個社會大家以後的行政大概都依法行政本來就是應該要依法行政大家都依法行政就在這個行政不能透過委員會來演示來掩蓋老百姓大家都在看 |
transcript.whisperx[29].start |
620.986 |
transcript.whisperx[29].end |
646.983 |
transcript.whisperx[29].text |
那你身為審計長當然你有責任有義務而且你是一直駁回這個你說他身為一個主委不必負擔嗎他有相對的權利就相對應該要負責責任我們也在探討是不是省界法院判他20萬他自己也離主了政治責任也處理了這樣是不是就是他的責任931萬變20萬這樣可以接受嗎 |
transcript.whisperx[30].start |
650.765 |
transcript.whisperx[30].end |
677.933 |
transcript.whisperx[30].text |
對 這個是委員的意見我們用這樣的意見和中選會談還在談 我認為那個沈記長 這個一定要繼續追而且我希望你給我一個時間這是第一點 第二點光做一個陳寅前違法失職濫用預算的案件都要花六年以上的時間都還沒有結果那勞動部就業安定基金濫用預算七千兩百二十四萬 |
transcript.whisperx[31].start |
679.093 |
transcript.whisperx[31].end |
708.293 |
transcript.whisperx[31].text |
被追回的那一天恐怕我看更遙遙無期那本席接著詢問審計部追查勞動部前部長許明尊長期濫用就業安定基金後續的進度審計部日前來揪出包括演唱會性別平等音樂會辦理空間裝潢包括軌道燈的裝設等等最後決定提出期間 |
transcript.whisperx[32].start |
711.314 |
transcript.whisperx[32].end |
732.78 |
transcript.whisperx[32].text |
224萬本席認為不能只用公務預算來歸電否則就是全民買單那政府機關要負起應有的責任讓那些違法失職要繼續來追討他們濫用預算那沈記長你針對這個就業安定基金預算濫用追討的情形 |
transcript.whisperx[33].start |
734.229 |
transcript.whisperx[33].end |
751.05 |
transcript.whisperx[33].text |
你認為在未來怎麼樣去防弊而且針對這個事情你認為應該要怎麼做我們防弊這部分已經有幾個面向勞動部已經在改了 已經處理了但是我們也在追它的成效如何這一個 |
transcript.whisperx[34].start |
753.352 |
transcript.whisperx[34].end |
775.404 |
transcript.whisperx[34].text |
再來基金和公務要切開他切得如何這個我們都在處理有一些像裝潢那些那些我們檢調已經法院有的已經判了裡面判了裡面有涉及要默入所得的部分勞動部要去請求回來洗前部長的這個部分還在修法 |
transcript.whisperx[35].start |
782.168 |
transcript.whisperx[35].end |
806.211 |
transcript.whisperx[35].text |
司法處理當中 至於那7000多萬要怎麼處理我們已經請勞動部要逐項查明勞動部現在在做這方面的處理針對各部會裡面要是有雷同像那種就業案例基金這個我認為不是光只有勞動部而已 |
transcript.whisperx[36].start |
807.112 |
transcript.whisperx[36].end |
829.626 |
transcript.whisperx[36].text |
其他單位 一併啊謝謝委員你很深入我們查出來有57個基金基金和公務啊 混溜我們希望把它因為行政院的規定是要把它分 劃分清楚所以這個部分我們已經行文給相關單位劃分清楚那個基金啊 |
transcript.whisperx[37].start |
830.618 |
transcript.whisperx[37].end |
845.457 |
transcript.whisperx[37].text |
也是這個人民的血汗錢 對服務人作為他們自己的一個私有的金庫這個我們都會查現在以前大家都說會查公務現在我們基金也會查 |
transcript.whisperx[38].start |
846.558 |
transcript.whisperx[38].end |
867.324 |
transcript.whisperx[38].text |
營業也會查財團法輪我們也會查這一個部分我們都在努力好啦我希望那個沈記長一定要積極不能放縱我認為說今天身為公務人員你就要依法行政那你今天不依法行政你縱容他會養成他胃口越來越大 |
transcript.whisperx[39].start |
868.844 |
transcript.whisperx[39].end |
893.394 |
transcript.whisperx[39].text |
所以說我希望你好好的去追查這些問題截至114年9月5日丹納斯颱風所造成太陽能光電板受損影響為十二萬一千多片其中有三萬兩千片經檢修還尚可使用還可再利用其餘的八萬九千多片需要委託這些廢棄物的廠商來處理 |
transcript.whisperx[40].start |
895.875 |
transcript.whisperx[40].end |
908.043 |
transcript.whisperx[40].text |
丹納斯臺灣把太陽能光電板摧毀但也暴露了大型光電暗場缺乏防災應變計畫及壓光電板清除計畫 |
transcript.whisperx[41].start |
910.315 |
transcript.whisperx[41].end |
931.016 |
transcript.whisperx[41].text |
那沈記長你認為以沈記部這個認為說人員署收取光電板回收費用作為處理泰裔的模組織基金110年到112年衛甲回收費大約有1億左右那衛甲的比例大約佔10% |
transcript.whisperx[42].start |
933.398 |
transcript.whisperx[42].end |
952.952 |
transcript.whisperx[42].text |
本席希望審計部持續監督經濟部以及及早的改善來啟動檢討太陽能光電板這些設備模組回收的費用以確保未來處理太溢的這些太陽能光電模組之費用來源我們去查這個模組費用的問題應該 |
transcript.whisperx[43].start |
957.233 |
transcript.whisperx[43].end |
982.022 |
transcript.whisperx[43].text |
到112年應該繳10點多億啦但是有4億 差不多將近4億沒繳我們催冷黑鼠 你要他去繳現在好像要處理這些廢棄物啊可能NSO的費用還不足可能還是要請冷黑鼠好好檢討這個光電模組的這些因為他 |
transcript.whisperx[44].start |
983.402 |
transcript.whisperx[44].end |
1005.539 |
transcript.whisperx[44].text |
沒有想到會一陣颱風來 摧毀了這麼多所以當時就是說20年後 30年後財財處理沒想到就受到風災的損害所以這個我們會來照委員的意思來處理因為講實在話 這些光電風電裡面弊端重重我相信你也很清楚 |
transcript.whisperx[45].start |
1006.34 |
transcript.whisperx[45].end |
1022.468 |
transcript.whisperx[45].text |
本席是支持穩健的綠能發展但不希望整個政策本末倒置漁電共生政策必須落實以養殖為本那綠電加值的原則當初政府官員政策講得非常漂亮 |
transcript.whisperx[46].start |
1023.248 |
transcript.whisperx[46].end |
1037.609 |
transcript.whisperx[46].text |
但是現實卻是有電無餘根據審計部報告指出2025年1月底以查核與電共生的這個案場其中有7成多未落實養殖的事業 |
transcript.whisperx[47].start |
1038.911 |
transcript.whisperx[47].end |
1060.757 |
transcript.whisperx[47].text |
的事實那審計部統計全台大概完工併網的漁電共生案場一共有393件那只有122件這個其中通過37件有待改善的以及招廢止的有85件未落實養殖者比例佔69.67%主要還是農業結合綠能設施未能符合 |
transcript.whisperx[48].start |
1067.859 |
transcript.whisperx[48].end |
1081.709 |
transcript.whisperx[48].text |
原來的這些養殖計畫本期是希望說沈記長你要承諾一定共生要持續列為沈記部稽查的重點終結有電無魚的這些亂象你有沒有什麼看法 |
transcript.whisperx[49].start |
1082.857 |
transcript.whisperx[49].end |
1089.562 |
transcript.whisperx[49].text |
這個是這樣 那個是我們去看了看了以後 因為我們損棄的發現但是我們損棄發現都是根據一夜暑的計畫我們不會鑄創計畫一夜暑的計畫裡面要有魚 |
transcript.whisperx[50].start |
1098.43 |
transcript.whisperx[50].end |
1117.665 |
transcript.whisperx[50].text |
後來我們去看沒有魚後來我們通知了1月10後來有一些說明他們已經改善了一些了但是我們就照委員的意思還是要他繼續改善因為希望有魚又希望有電這個是看能夠取得雙重 |
transcript.whisperx[51].start |
1120.247 |
transcript.whisperx[51].end |
1145.026 |
transcript.whisperx[51].text |
都是雙重的獨立我們是希望這樣但是業主做的事情一樣以為主那個沈記長你包括離岸風電都一樣因為離岸風電它一開始有七成是短購短購就是溢價然後三成公開招標公開招標跟短購 |
transcript.whisperx[52].start |
1146.167 |
transcript.whisperx[52].end |
1167.967 |
transcript.whisperx[52].text |
那個價格之差實在是沒有辦法處理那結果那個輪購以後我問那個沈榮金部長他說那些將來就是要技術移轉結果人家有申請專利你要技術移轉根本就不可能都是半成品進來插在那個海邊然後那楓葉裝一裝 |
transcript.whisperx[53].start |
1169.528 |
transcript.whisperx[53].end |
1184.5 |
transcript.whisperx[53].text |
那個根本騙局一場其實在裡面弊端重重啦沈記長我希望你要把這個事情要好好的查因為短購跟公開招標落差很大你去把它調出來看真的那個落差之大 |
transcript.whisperx[54].start |
1185.978 |
transcript.whisperx[54].end |
1205.928 |
transcript.whisperx[54].text |
這個委員這是一個事實我們也查了我們也發現國產化的進度都落後沒有啦 都是半成民進來啦但是也發現有的廠商他後來都要國產化他也有他的意見 |
transcript.whisperx[55].start |
1207.915 |
transcript.whisperx[55].end |
1224.048 |
transcript.whisperx[55].text |
那個沈紀長 那個都是騙局一場啦都是半成品進來摘下去啦 楓葉插一插啦然後說短過 一直飆20年欸20年台電損失9100億一年要損失455億關離岸楓電而已喔 光電還不算喔所以說這些問題應該要查清楚給社會一個交代我們會繼續啊 來追蹤 後來繼續來查核我認為希望沈紀部要多用一點 |
transcript.whisperx[56].start |
1238.615 |
transcript.whisperx[56].end |
1239.803 |
transcript.whisperx[56].text |
好 谢谢林德福 |