IVOD_ID |
162388 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/162388 |
日期 |
2025-06-10 |
會議資料.會議代碼 |
院會-11-3-15 |
會議資料.會議代碼:str |
第11屆第3會期第15次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
15 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第3會期第15次會議 |
影片種類 |
Clip |
開始時間 |
2025-06-10T12:44:31+08:00 |
結束時間 |
2025-06-10T12:47:47+08:00 |
影片長度 |
00:03:16 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/a13cf9bd1947b8625b36633dfc3a70f153217367b42f8fa2669e809ad837ba6c74277e4527d10aae5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
王鴻薇 |
委員發言時間 |
12:44:31 - 12:47:47 |
會議時間 |
2025-06-10T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第15次會議(事由:一、討論事項:本院民進黨黨團,針對第11屆第3會期第13次會議報告事項第374案院會所作將委員吳宗憲等17人、委員賴士葆等28人、委員楊瓊瓔等26人分別擬具「人工智慧基本法草案」及台灣民眾黨黨團擬具「人工智慧發展及管理條例草案」等4案,均改交教育及文化、交通兩委員會審查之決定,提出復議。是否有當?請公決案9案。二、6月6日上午9時至10時為國是論壇時間。三、6月10日下午5時至6時為處理臨時提案時間。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
1.02659375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
15.42096875 |
transcript.pyannote[1].end |
16.66971875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
17.49659375 |
transcript.pyannote[2].end |
27.68909375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
27.77346875 |
transcript.pyannote[3].end |
31.60409375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
32.17784375 |
transcript.pyannote[4].end |
40.29471875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
40.49721875 |
transcript.pyannote[5].end |
49.27221875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
49.89659375 |
transcript.pyannote[6].end |
50.80784375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
51.09471875 |
transcript.pyannote[7].end |
55.80284375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
56.84909375 |
transcript.pyannote[8].end |
59.43096875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
59.58284375 |
transcript.pyannote[9].end |
62.89034375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
63.10971875 |
transcript.pyannote[10].end |
65.10096875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
65.77596875 |
transcript.pyannote[11].end |
67.36221875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
67.93596875 |
transcript.pyannote[12].end |
74.70284375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
75.37784375 |
transcript.pyannote[13].end |
81.63846875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
82.22909375 |
transcript.pyannote[14].end |
96.96096875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
97.14659375 |
transcript.pyannote[15].end |
98.10846875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
98.36159375 |
transcript.pyannote[16].end |
100.01534375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
100.20096875 |
transcript.pyannote[17].end |
101.66909375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
102.63096875 |
transcript.pyannote[18].end |
103.25534375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
103.66034375 |
transcript.pyannote[19].end |
104.92596875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
105.65159375 |
transcript.pyannote[20].end |
107.03534375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
107.27159375 |
transcript.pyannote[21].end |
110.74784375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
111.43971875 |
transcript.pyannote[22].end |
119.65784375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
119.86034375 |
transcript.pyannote[23].end |
120.94034375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
121.32846875 |
transcript.pyannote[24].end |
128.83784375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
129.73221875 |
transcript.pyannote[25].end |
132.14534375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
132.76971875 |
transcript.pyannote[26].end |
134.47409375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
134.91284375 |
transcript.pyannote[27].end |
140.70096875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
141.05534375 |
transcript.pyannote[28].end |
146.37096875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
147.33284375 |
transcript.pyannote[29].end |
149.34096875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
149.79659375 |
transcript.pyannote[30].end |
152.04096875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
152.85096875 |
transcript.pyannote[31].end |
153.71159375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
154.06596875 |
transcript.pyannote[32].end |
163.41471875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
164.24159375 |
transcript.pyannote[33].end |
167.78534375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
167.88659375 |
transcript.pyannote[34].end |
179.76659375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
180.12096875 |
transcript.pyannote[35].end |
188.76096875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
189.70596875 |
transcript.pyannote[36].end |
191.84909375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
192.05159375 |
transcript.pyannote[37].end |
195.32534375 |
transcript.whisperx[0].start |
0.426 |
transcript.whisperx[0].end |
0.447 |
transcript.whisperx[0].text |
請準備 |
transcript.whisperx[1].start |
15.441 |
transcript.whisperx[1].end |
31.288 |
transcript.whisperx[1].text |
主席各位同仁非常感謝在在野黨團的努力之下我們陸續的我們透過了軍人待遇條例第五條和第六條分別幫志願役以及義務役來加薪 |
transcript.whisperx[2].start |
32.208 |
transcript.whisperx[2].end |
55.495 |
transcript.whisperx[2].text |
我們剛才看到討論裡面非常遺憾民進黨用非常多的理由比如說財政問題比如說是沒有好好討論的問題等等其實就是反對軍人加薪民進黨所有的發言以及他們的表決就是反對軍人加薪 |
transcript.whisperx[3].start |
56.892 |
transcript.whisperx[3].end |
73.378 |
transcript.whisperx[3].text |
民進黨說我們不應該討好軍人請問一下我們為什麼不該討好軍人難道要壓榨軍人嗎我剛才就特別說了賴總統說要把我們的軍費支出提高到GDP的3% |
transcript.whisperx[4].start |
75.439 |
transcript.whisperx[4].end |
101.237 |
transcript.whisperx[4].text |
而我們現在幫軍人加薪就在GDP的3%裡面如果變成GDP3%要把軍費支出提高超過1000億到7300億之多而我們卻不願意分一些些給我們的軍人加薪請問一下這樣的心態何其殘忍 |
transcript.whisperx[5].start |
102.711 |
transcript.whisperx[5].end |
122.166 |
transcript.whisperx[5].text |
另外我要再補充民進黨一直說在野黨刪預算我剛才就說了在野黨刪除國防預算其中有一筆是45億元的列銷無人機明明美國報價55億元但是國防部編列高達115億元 |
transcript.whisperx[6].start |
129.793 |
transcript.whisperx[6].end |
148.23 |
transcript.whisperx[6].text |
增加了多出了60億要五毛給一塊請問這樣的預算難道不該把關不該刪減嗎其實連當時的王定宇委員作為召委他都同意呀該刪就應該刪該給就應該給 |
transcript.whisperx[7].start |
152.895 |
transcript.whisperx[7].end |
179.371 |
transcript.whisperx[7].text |
为什么到现在为止民进党一方面说要提高国防任性但是大家也看到我们现在军人招募之困难而民进党一直在说大罢免大成功我们非常担心的是不管是劳工的4加1的放假或者军人加薪难道民进党还要搞视线还要来没收吗 |
transcript.whisperx[8].start |
180.251 |
transcript.whisperx[8].end |
194.532 |
transcript.whisperx[8].text |
所以我們要再次的強調我們本來就應該討好軍人激勵軍人的士氣大惡霸若成功軍人家心一場空謝謝 |