| IVOD_ID |
165698 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/165698 |
| 日期 |
2025-11-20 |
| 會議資料.會議代碼 |
委員會-11-4-19-11 |
| 會議資料.會議代碼:str |
第11屆第4會期經濟委員會第11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 |
11 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
19 |
| 會議資料.委員會代碼:str[0] |
經濟委員會 |
| 會議資料.標題 |
第11屆第4會期經濟委員會第11次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-11-20T11:27:32+08:00 |
| 結束時間 |
2025-11-20T11:34:11+08:00 |
| 影片長度 |
00:06:39 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/972124280c86b913cad2cd6a72e70f8a558ea7a01fa75879fa443352b7318b899c2ab639a50d16805ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
葉元之 |
| 委員發言時間 |
11:27:32 - 11:34:11 |
| 會議時間 |
2025-11-20T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期經濟委員會第11次全體委員會議(事由:邀請國家發展委員會主任委員、經濟部部長、數位發展部首長、國家科學及技術委員會首長、教育部首長及勞動部首長就「攸關臺灣未來的競爭力,值此AI時代,臺灣如何贏得新人才戰?」進行報告,並備質詢。
【11月19日及20日二天一次會】) |
| transcript.pyannote[0].speaker |
SPEAKER_02 |
| transcript.pyannote[0].start |
9.75096875 |
| transcript.pyannote[0].end |
12.04596875 |
| transcript.pyannote[1].speaker |
SPEAKER_02 |
| transcript.pyannote[1].start |
13.71659375 |
| transcript.pyannote[1].end |
18.67784375 |
| transcript.pyannote[2].speaker |
SPEAKER_02 |
| transcript.pyannote[2].start |
19.94346875 |
| transcript.pyannote[2].end |
21.34409375 |
| transcript.pyannote[3].speaker |
SPEAKER_02 |
| transcript.pyannote[3].start |
23.18346875 |
| transcript.pyannote[3].end |
24.21284375 |
| transcript.pyannote[4].speaker |
SPEAKER_02 |
| transcript.pyannote[4].start |
24.34784375 |
| transcript.pyannote[4].end |
25.41096875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
24.46596875 |
| transcript.pyannote[5].end |
24.60096875 |
| transcript.pyannote[6].speaker |
SPEAKER_02 |
| transcript.pyannote[6].start |
25.73159375 |
| transcript.pyannote[6].end |
26.98034375 |
| transcript.pyannote[7].speaker |
SPEAKER_02 |
| transcript.pyannote[7].start |
27.04784375 |
| transcript.pyannote[7].end |
27.52034375 |
| transcript.pyannote[8].speaker |
SPEAKER_02 |
| transcript.pyannote[8].start |
27.73971875 |
| transcript.pyannote[8].end |
30.43971875 |
| transcript.pyannote[9].speaker |
SPEAKER_02 |
| transcript.pyannote[9].start |
34.28721875 |
| transcript.pyannote[9].end |
34.30409375 |
| transcript.pyannote[10].speaker |
SPEAKER_03 |
| transcript.pyannote[10].start |
34.30409375 |
| transcript.pyannote[10].end |
48.68159375 |
| transcript.pyannote[11].speaker |
SPEAKER_03 |
| transcript.pyannote[11].start |
49.18784375 |
| transcript.pyannote[11].end |
54.14909375 |
| transcript.pyannote[12].speaker |
SPEAKER_03 |
| transcript.pyannote[12].start |
54.58784375 |
| transcript.pyannote[12].end |
59.56596875 |
| transcript.pyannote[13].speaker |
SPEAKER_03 |
| transcript.pyannote[13].start |
59.95409375 |
| transcript.pyannote[13].end |
66.61971875 |
| transcript.pyannote[14].speaker |
SPEAKER_03 |
| transcript.pyannote[14].start |
67.00784375 |
| transcript.pyannote[14].end |
68.57721875 |
| transcript.pyannote[15].speaker |
SPEAKER_03 |
| transcript.pyannote[15].start |
68.67846875 |
| transcript.pyannote[15].end |
72.55971875 |
| transcript.pyannote[16].speaker |
SPEAKER_03 |
| transcript.pyannote[16].start |
73.21784375 |
| transcript.pyannote[16].end |
77.74034375 |
| transcript.pyannote[17].speaker |
SPEAKER_03 |
| transcript.pyannote[17].start |
78.04409375 |
| transcript.pyannote[17].end |
96.62346875 |
| transcript.pyannote[18].speaker |
SPEAKER_03 |
| transcript.pyannote[18].start |
97.04534375 |
| transcript.pyannote[18].end |
102.12471875 |
| transcript.pyannote[19].speaker |
SPEAKER_03 |
| transcript.pyannote[19].start |
102.46221875 |
| transcript.pyannote[19].end |
104.84159375 |
| transcript.pyannote[20].speaker |
SPEAKER_04 |
| transcript.pyannote[20].start |
106.05659375 |
| transcript.pyannote[20].end |
111.28784375 |
| transcript.pyannote[21].speaker |
SPEAKER_03 |
| transcript.pyannote[21].start |
110.95034375 |
| transcript.pyannote[21].end |
112.97534375 |
| transcript.pyannote[22].speaker |
SPEAKER_04 |
| transcript.pyannote[22].start |
112.36784375 |
| transcript.pyannote[22].end |
114.17346875 |
| transcript.pyannote[23].speaker |
SPEAKER_03 |
| transcript.pyannote[23].start |
113.59971875 |
| transcript.pyannote[23].end |
118.07159375 |
| transcript.pyannote[24].speaker |
SPEAKER_04 |
| transcript.pyannote[24].start |
118.05471875 |
| transcript.pyannote[24].end |
123.82596875 |
| transcript.pyannote[25].speaker |
SPEAKER_03 |
| transcript.pyannote[25].start |
123.53909375 |
| transcript.pyannote[25].end |
125.39534375 |
| transcript.pyannote[26].speaker |
SPEAKER_04 |
| transcript.pyannote[26].start |
125.39534375 |
| transcript.pyannote[26].end |
125.42909375 |
| transcript.pyannote[27].speaker |
SPEAKER_04 |
| transcript.pyannote[27].start |
126.20534375 |
| transcript.pyannote[27].end |
131.45346875 |
| transcript.pyannote[28].speaker |
SPEAKER_03 |
| transcript.pyannote[28].start |
129.81659375 |
| transcript.pyannote[28].end |
135.46971875 |
| transcript.pyannote[29].speaker |
SPEAKER_04 |
| transcript.pyannote[29].start |
133.88346875 |
| transcript.pyannote[29].end |
134.67659375 |
| transcript.pyannote[30].speaker |
SPEAKER_04 |
| transcript.pyannote[30].start |
135.55409375 |
| transcript.pyannote[30].end |
136.02659375 |
| transcript.pyannote[31].speaker |
SPEAKER_03 |
| transcript.pyannote[31].start |
136.02659375 |
| transcript.pyannote[31].end |
136.43159375 |
| transcript.pyannote[32].speaker |
SPEAKER_04 |
| transcript.pyannote[32].start |
136.43159375 |
| transcript.pyannote[32].end |
136.88721875 |
| transcript.pyannote[33].speaker |
SPEAKER_03 |
| transcript.pyannote[33].start |
136.88721875 |
| transcript.pyannote[33].end |
136.97159375 |
| transcript.pyannote[34].speaker |
SPEAKER_04 |
| transcript.pyannote[34].start |
136.97159375 |
| transcript.pyannote[34].end |
137.47784375 |
| transcript.pyannote[35].speaker |
SPEAKER_03 |
| transcript.pyannote[35].start |
137.47784375 |
| transcript.pyannote[35].end |
137.49471875 |
| transcript.pyannote[36].speaker |
SPEAKER_04 |
| transcript.pyannote[36].start |
137.79846875 |
| transcript.pyannote[36].end |
138.72659375 |
| transcript.pyannote[37].speaker |
SPEAKER_03 |
| transcript.pyannote[37].start |
137.98409375 |
| transcript.pyannote[37].end |
139.87409375 |
| transcript.pyannote[38].speaker |
SPEAKER_04 |
| transcript.pyannote[38].start |
140.81909375 |
| transcript.pyannote[38].end |
144.49784375 |
| transcript.pyannote[39].speaker |
SPEAKER_04 |
| transcript.pyannote[39].start |
144.76784375 |
| transcript.pyannote[39].end |
146.01659375 |
| transcript.pyannote[40].speaker |
SPEAKER_03 |
| transcript.pyannote[40].start |
145.94909375 |
| transcript.pyannote[40].end |
155.11221875 |
| transcript.pyannote[41].speaker |
SPEAKER_04 |
| transcript.pyannote[41].start |
152.90159375 |
| transcript.pyannote[41].end |
153.27284375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
153.27284375 |
| transcript.pyannote[42].end |
153.28971875 |
| transcript.pyannote[43].speaker |
SPEAKER_03 |
| transcript.pyannote[43].start |
155.26409375 |
| transcript.pyannote[43].end |
157.01909375 |
| transcript.pyannote[44].speaker |
SPEAKER_03 |
| transcript.pyannote[44].start |
157.18784375 |
| transcript.pyannote[44].end |
164.84909375 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
159.71909375 |
| transcript.pyannote[45].end |
160.03971875 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
160.69784375 |
| transcript.pyannote[46].end |
162.68909375 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
164.56221875 |
| transcript.pyannote[47].end |
168.67971875 |
| transcript.pyannote[48].speaker |
SPEAKER_03 |
| transcript.pyannote[48].start |
166.38471875 |
| transcript.pyannote[48].end |
167.48159375 |
| transcript.pyannote[49].speaker |
SPEAKER_03 |
| transcript.pyannote[49].start |
168.17346875 |
| transcript.pyannote[49].end |
176.59409375 |
| transcript.pyannote[50].speaker |
SPEAKER_03 |
| transcript.pyannote[50].start |
176.96534375 |
| transcript.pyannote[50].end |
178.04534375 |
| transcript.pyannote[51].speaker |
SPEAKER_03 |
| transcript.pyannote[51].start |
178.83846875 |
| transcript.pyannote[51].end |
179.98596875 |
| transcript.pyannote[52].speaker |
SPEAKER_03 |
| transcript.pyannote[52].start |
180.32346875 |
| transcript.pyannote[52].end |
181.01534375 |
| transcript.pyannote[53].speaker |
SPEAKER_03 |
| transcript.pyannote[53].start |
181.45409375 |
| transcript.pyannote[53].end |
182.68596875 |
| transcript.pyannote[54].speaker |
SPEAKER_03 |
| transcript.pyannote[54].start |
183.31034375 |
| transcript.pyannote[54].end |
183.63096875 |
| transcript.pyannote[55].speaker |
SPEAKER_04 |
| transcript.pyannote[55].start |
183.54659375 |
| transcript.pyannote[55].end |
185.06534375 |
| transcript.pyannote[56].speaker |
SPEAKER_03 |
| transcript.pyannote[56].start |
184.81221875 |
| transcript.pyannote[56].end |
186.48284375 |
| transcript.pyannote[57].speaker |
SPEAKER_04 |
| transcript.pyannote[57].start |
186.44909375 |
| transcript.pyannote[57].end |
187.29284375 |
| transcript.pyannote[58].speaker |
SPEAKER_03 |
| transcript.pyannote[58].start |
186.65159375 |
| transcript.pyannote[58].end |
189.35159375 |
| transcript.pyannote[59].speaker |
SPEAKER_04 |
| transcript.pyannote[59].start |
189.35159375 |
| transcript.pyannote[59].end |
189.73971875 |
| transcript.pyannote[60].speaker |
SPEAKER_03 |
| transcript.pyannote[60].start |
189.73971875 |
| transcript.pyannote[60].end |
197.68784375 |
| transcript.pyannote[61].speaker |
SPEAKER_04 |
| transcript.pyannote[61].start |
197.83971875 |
| transcript.pyannote[61].end |
198.29534375 |
| transcript.pyannote[62].speaker |
SPEAKER_03 |
| transcript.pyannote[62].start |
198.24471875 |
| transcript.pyannote[62].end |
199.59471875 |
| transcript.pyannote[63].speaker |
SPEAKER_03 |
| transcript.pyannote[63].start |
200.25284375 |
| transcript.pyannote[63].end |
205.06221875 |
| transcript.pyannote[64].speaker |
SPEAKER_03 |
| transcript.pyannote[64].start |
205.82159375 |
| transcript.pyannote[64].end |
213.60096875 |
| transcript.pyannote[65].speaker |
SPEAKER_03 |
| transcript.pyannote[65].start |
214.03971875 |
| transcript.pyannote[65].end |
223.65846875 |
| transcript.pyannote[66].speaker |
SPEAKER_03 |
| transcript.pyannote[66].start |
224.60346875 |
| transcript.pyannote[66].end |
225.41346875 |
| transcript.pyannote[67].speaker |
SPEAKER_03 |
| transcript.pyannote[67].start |
226.10534375 |
| transcript.pyannote[67].end |
233.78346875 |
| transcript.pyannote[68].speaker |
SPEAKER_04 |
| transcript.pyannote[68].start |
234.39096875 |
| transcript.pyannote[68].end |
244.24596875 |
| transcript.pyannote[69].speaker |
SPEAKER_03 |
| transcript.pyannote[69].start |
235.20096875 |
| transcript.pyannote[69].end |
235.36971875 |
| transcript.pyannote[70].speaker |
SPEAKER_03 |
| transcript.pyannote[70].start |
244.83659375 |
| transcript.pyannote[70].end |
249.12284375 |
| transcript.pyannote[71].speaker |
SPEAKER_03 |
| transcript.pyannote[71].start |
249.56159375 |
| transcript.pyannote[71].end |
253.88159375 |
| transcript.pyannote[72].speaker |
SPEAKER_03 |
| transcript.pyannote[72].start |
254.50596875 |
| transcript.pyannote[72].end |
268.05659375 |
| transcript.pyannote[73].speaker |
SPEAKER_03 |
| transcript.pyannote[73].start |
268.51221875 |
| transcript.pyannote[73].end |
269.18721875 |
| transcript.pyannote[74].speaker |
SPEAKER_03 |
| transcript.pyannote[74].start |
269.42346875 |
| transcript.pyannote[74].end |
271.33034375 |
| transcript.pyannote[75].speaker |
SPEAKER_03 |
| transcript.pyannote[75].start |
271.90409375 |
| transcript.pyannote[75].end |
278.14784375 |
| transcript.pyannote[76].speaker |
SPEAKER_03 |
| transcript.pyannote[76].start |
278.70471875 |
| transcript.pyannote[76].end |
282.23159375 |
| transcript.pyannote[77].speaker |
SPEAKER_03 |
| transcript.pyannote[77].start |
282.75471875 |
| transcript.pyannote[77].end |
289.52159375 |
| transcript.pyannote[78].speaker |
SPEAKER_03 |
| transcript.pyannote[78].start |
290.11221875 |
| transcript.pyannote[78].end |
292.99784375 |
| transcript.pyannote[79].speaker |
SPEAKER_03 |
| transcript.pyannote[79].start |
293.35221875 |
| transcript.pyannote[79].end |
298.46534375 |
| transcript.pyannote[80].speaker |
SPEAKER_03 |
| transcript.pyannote[80].start |
299.19096875 |
| transcript.pyannote[80].end |
303.98346875 |
| transcript.pyannote[81].speaker |
SPEAKER_03 |
| transcript.pyannote[81].start |
304.40534375 |
| transcript.pyannote[81].end |
305.87346875 |
| transcript.pyannote[82].speaker |
SPEAKER_03 |
| transcript.pyannote[82].start |
306.80159375 |
| transcript.pyannote[82].end |
309.11346875 |
| transcript.pyannote[83].speaker |
SPEAKER_03 |
| transcript.pyannote[83].start |
314.05784375 |
| transcript.pyannote[83].end |
314.07471875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
314.07471875 |
| transcript.pyannote[84].end |
314.29409375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
314.59784375 |
| transcript.pyannote[85].end |
315.03659375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
315.64409375 |
| transcript.pyannote[86].end |
316.03221875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
316.63971875 |
| transcript.pyannote[87].end |
329.16096875 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
317.07846875 |
| transcript.pyannote[88].end |
319.60971875 |
| transcript.pyannote[89].speaker |
SPEAKER_03 |
| transcript.pyannote[89].start |
319.60971875 |
| transcript.pyannote[89].end |
319.62659375 |
| transcript.pyannote[90].speaker |
SPEAKER_03 |
| transcript.pyannote[90].start |
328.58721875 |
| transcript.pyannote[90].end |
333.98721875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
330.35909375 |
| transcript.pyannote[91].end |
331.10159375 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
334.69596875 |
| transcript.pyannote[92].end |
338.86409375 |
| transcript.pyannote[93].speaker |
SPEAKER_03 |
| transcript.pyannote[93].start |
335.18534375 |
| transcript.pyannote[93].end |
335.64096875 |
| transcript.pyannote[94].speaker |
SPEAKER_03 |
| transcript.pyannote[94].start |
339.30284375 |
| transcript.pyannote[94].end |
342.05346875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
342.71159375 |
| transcript.pyannote[95].end |
343.82534375 |
| transcript.pyannote[96].speaker |
SPEAKER_03 |
| transcript.pyannote[96].start |
343.55534375 |
| transcript.pyannote[96].end |
344.61846875 |
| transcript.pyannote[97].speaker |
SPEAKER_03 |
| transcript.pyannote[97].start |
345.42846875 |
| transcript.pyannote[97].end |
349.93409375 |
| transcript.pyannote[98].speaker |
SPEAKER_03 |
| transcript.pyannote[98].start |
350.49096875 |
| transcript.pyannote[98].end |
353.79846875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
351.46971875 |
| transcript.pyannote[99].end |
351.50346875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
353.79846875 |
| transcript.pyannote[100].end |
359.67096875 |
| transcript.pyannote[101].speaker |
SPEAKER_03 |
| transcript.pyannote[101].start |
359.67096875 |
| transcript.pyannote[101].end |
359.85659375 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
359.70471875 |
| transcript.pyannote[102].end |
360.34596875 |
| transcript.pyannote[103].speaker |
SPEAKER_03 |
| transcript.pyannote[103].start |
360.26159375 |
| transcript.pyannote[103].end |
377.44034375 |
| transcript.pyannote[104].speaker |
SPEAKER_02 |
| transcript.pyannote[104].start |
371.38221875 |
| transcript.pyannote[104].end |
371.50034375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
377.13659375 |
| transcript.pyannote[105].end |
378.77346875 |
| transcript.pyannote[106].speaker |
SPEAKER_03 |
| transcript.pyannote[106].start |
378.33471875 |
| transcript.pyannote[106].end |
380.02221875 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
380.02221875 |
| transcript.pyannote[107].end |
384.10596875 |
| transcript.pyannote[108].speaker |
SPEAKER_03 |
| transcript.pyannote[108].start |
383.88659375 |
| transcript.pyannote[108].end |
385.86096875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
386.70471875 |
| transcript.pyannote[109].end |
387.12659375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
387.70034375 |
| transcript.pyannote[110].end |
387.95346875 |
| transcript.pyannote[111].speaker |
SPEAKER_03 |
| transcript.pyannote[111].start |
387.95346875 |
| transcript.pyannote[111].end |
391.00784375 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
392.18909375 |
| transcript.pyannote[112].end |
396.88034375 |
| transcript.pyannote[113].speaker |
SPEAKER_03 |
| transcript.pyannote[113].start |
393.04971875 |
| transcript.pyannote[113].end |
393.60659375 |
| transcript.pyannote[114].speaker |
SPEAKER_03 |
| transcript.pyannote[114].start |
396.59346875 |
| transcript.pyannote[114].end |
398.36534375 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
398.34846875 |
| transcript.pyannote[115].end |
398.77034375 |
| transcript.whisperx[0].start |
10.535 |
| transcript.whisperx[0].end |
17.979 |
| transcript.whisperx[0].text |
主席麻煩請經濟部請經濟部秋球會署長謝謝還有國發會請國發會葉主委謝謝還有國科會一起請國科會的蘇副主委謝謝 |
| transcript.whisperx[1].start |
34.312 |
| transcript.whisperx[1].end |
53.793 |
| transcript.whisperx[1].text |
好那個我們都知道說AI現在如果要投入那種鮮豔的成本其實需要非常多的資金那今天我們主題是在講人才其實人才跟資金是非常息息相關如果新創公司或研究AI公司不到沒有資金的話根本沒辦法留住人才這三位應該都同意嘛對不對但我現在 |
| transcript.whisperx[2].start |
54.674 |
| transcript.whisperx[2].end |
72.361 |
| transcript.whisperx[2].text |
有蠻多研究AI的公司跟我反映一件事情他說現在有出現那種顧問顧問會去找他們跟他們說政府其實有很多有關於AI的補助可以去申請第一個他是因為顧問來找他他們才知道 |
| transcript.whisperx[3].start |
73.291 |
| transcript.whisperx[3].end |
93.699 |
| transcript.whisperx[3].text |
然後顧問跟他們講之後他們開始去查相關的計畫結果有的計畫比如說要嘛就是申請的期限快來不及了因為他必須要做一個計畫書嘛才能夠符合那個補助的標準然後要嘛就是他們覺得那個計畫的內容比較不符合業界的需求我現在想請教一下我們現在針對這一種 |
| transcript.whisperx[4].start |
95.18 |
| transcript.whisperx[4].end |
104.148 |
| transcript.whisperx[4].text |
AI公司的補助到底是哪一個單位還是說每一個部會都有大家經濟部有嗎有相關的補助嗎是什麼樣的補助 |
| transcript.whisperx[5].start |
106.207 |
| transcript.whisperx[5].end |
124.428 |
| transcript.whisperx[5].text |
補助企業如果說要導入AI或數位的轉型那我們就可以給他做一個是企業導入而已對 直接補助就既有的公司如果他針對某一個環節他要導入的話你可以補助對 比如說他要生產的或者說要客戶服務的導入AI那我們就可以補助那國發會有嗎 |
| transcript.whisperx[6].start |
126.343 |
| transcript.whisperx[6].end |
131.487 |
| transcript.whisperx[6].text |
跟委員報告我們其實前瞻計畫裡面會有我說國發會變在國發會裡面預算有沒有特定計畫補助有嗎有是哪一種就是一個計畫型的補助計畫型的補助對 針對哪一類的 |
| transcript.whisperx[7].start |
141.212 |
| transcript.whisperx[7].end |
156.252 |
| transcript.whisperx[7].text |
應該是公價還是公務對 公務預算我不是說公務預算特別預算我講的是比如說像經濟部他說他針對企業裡面如果有特定業務導入AI他要補助那你們是補助哪一種類型 |
| transcript.whisperx[8].start |
157.273 |
| transcript.whisperx[8].end |
182.55 |
| transcript.whisperx[8].text |
我們是補助跨部會的跨部對 跨部會 還有你又一直答非所問 沒關係那國科會國科會是補助研究案國科會主要針對科研的補助科研的部分但是對於廠商或新商那我請教一下如果是那一種就是自己公司投入很多研發經費然後要去發展AI的那種先驗計畫的就是他要做很多嘗試這一種的現在聽起來是沒有補助嘛 |
| transcript.whisperx[9].start |
183.776 |
| transcript.whisperx[9].end |
204.929 |
| transcript.whisperx[9].text |
有 經濟部有補助是經濟部嗎 你剛剛就沒有講嘛你剛剛講的是說特定企業要導入AI對所以你看我現在把三個機關叫上來大家都講得支支吾吾的你們都講得支支吾吾那請問一般民間怎麼知道有這方面的補助所以可不可以請你們回去好好的這個想想看你的這個計畫怎麼推廣好不好 |
| transcript.whisperx[10].start |
205.888 |
| transcript.whisperx[10].end |
233.127 |
| transcript.whisperx[10].text |
對不對 因為我剛剛舉的例子其實它是國內蠻大的我就不講哪一家啦其實是蠻有名的公司 他們都不曉得欸所以等於是你們自己本身沒有去接觸人家嘛還是透過那種顧問我也不知道顧問是什麼顧問啦民間的顧問去跟他們講他們才知道這個你鎖定幾家對台灣發展AI有幫助的企業主動跟他們說我們這邊政府可以協助你們什麼應該不難吧 |
| transcript.whisperx[11].start |
234.451 |
| transcript.whisperx[11].end |
253.7 |
| transcript.whisperx[11].text |
那個委員我再次強調啦藉這個機會宣導一下就是經濟部我們針對這個企業去做AI的技術的研發還有技術的導入我們都會提供補助那我們都知道有補助但是就不知道那個細節也不知道相關辦法所以很多企業都不曉得嘛我現在是請你們去宣導這個事情 |
| transcript.whisperx[12].start |
256.235 |
| transcript.whisperx[12].end |
277.428 |
| transcript.whisperx[12].text |
至少比較大間的或者是比較前瞻或什麼你們也可以辦座談會或幹嘛的嘛多多的推廣嘛否則你政府的美意就這樣子很多人都用不到啊對台灣產業也是一種損失啊好再來還有一個我想請教一下這個看哪一位可以回答因為現在很多AI他們現在最怕就是處罰嘛 |
| transcript.whisperx[13].start |
279.066 |
| transcript.whisperx[13].end |
303.431 |
| transcript.whisperx[13].text |
他要做那個模擬的訓練然後前一段時間不是才發生有新創公司因為他用了法學資料庫的資料所以就被告了那個是重刑耶被判4年啊7年這會造成寒蟬效應大家會不知所措啦請問一下政府單位對於就是模型訓練資料的使用的相關的學習規範什麼時候會出來啊這是屬於國科會的嗎 |
| transcript.whisperx[14].start |
306.894 |
| transcript.whisperx[14].end |
333.344 |
| transcript.whisperx[14].text |
速發部的速發部請問什麼時候會出來我們現在AI是在跟全世界賽跑我們主權語料庫現在已經在跟各部會協作當中那12月就會有第一版的發表你現在講的是你的主權語料庫嗎我講的是說它如果是用其他的資料庫它只是做訓練 |
| transcript.whisperx[15].start |
335.162 |
| transcript.whisperx[15].end |
349.684 |
| transcript.whisperx[15].text |
訓練的部分其實要仰賴這個智慧財產權法的修法那你們現在有在跟相關機關推動這一塊嗎這個目前所以就擺爛啊這個就是很多業界擔心啊因為他們要去做訓練就很怕觸法嘛 |
| transcript.whisperx[16].start |
351.679 |
| transcript.whisperx[16].end |
369.78 |
| transcript.whisperx[16].text |
我剛講的案例是今年五月的事情委員這一部分因為是智慧財產局那邊主管的法規不是啦今天主管AI當然是有一個主要的權責機關他發現這個是一個重要問題他就要去找智慧財產局跟他講說這會影響到AI的發展 |
| transcript.whisperx[17].start |
370.18 |
| transcript.whisperx[17].end |
397.914 |
| transcript.whisperx[17].text |
就共同推動而不是說問你們說那是他們他們就是他們大家推來推去那我們還說什麼AI那個就騙人的嗎這個趕快去處理委員這部分我們有跟制裁局那邊跟各專家也有在做推動什麼時候會有一個規範出來牛年馬月嗎大約是冬季嗎什麼時候我們在這個推動的這個方向應該在明年初會有一個明年初方向會出來好謝謝 |