iVOD / 165657

Field Value
IVOD_ID 165657
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165657
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 2025-11-20T09:32:57+08:00
結束時間 2025-11-20T09:47:30+08:00
影片長度 00:14:33
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/972124280c86b91354525c1e035870a6558ea7a01fa7587926f9ed453590123b9ece5cc56f5d9c585ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 楊瓊瓔
委員發言時間 09:32:57 - 09:47:30
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_00
transcript.pyannote[0].start 2.19096875
transcript.pyannote[0].end 4.72221875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 9.44721875
transcript.pyannote[1].end 12.90659375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 13.26096875
transcript.pyannote[2].end 14.22284375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 19.47096875
transcript.pyannote[3].end 20.02784375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 20.77034375
transcript.pyannote[4].end 20.78721875
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 20.78721875
transcript.pyannote[5].end 21.91784375
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 22.01909375
transcript.pyannote[6].end 25.19159375
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 25.59659375
transcript.pyannote[7].end 30.89534375
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 31.01346875
transcript.pyannote[8].end 42.65721875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 43.72034375
transcript.pyannote[9].end 46.01534375
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 47.66909375
transcript.pyannote[10].end 49.72784375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 50.95971875
transcript.pyannote[11].end 51.95534375
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 50.97659375
transcript.pyannote[12].end 52.10721875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 52.10721875
transcript.pyannote[13].end 52.19159375
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 52.19159375
transcript.pyannote[14].end 52.34346875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 52.34346875
transcript.pyannote[15].end 53.62596875
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 54.03096875
transcript.pyannote[16].end 54.52034375
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 55.26284375
transcript.pyannote[17].end 57.38909375
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 57.62534375
transcript.pyannote[18].end 58.18221875
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 59.12721875
transcript.pyannote[19].end 71.66534375
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 72.40784375
transcript.pyannote[20].end 77.79096875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 78.39846875
transcript.pyannote[21].end 82.19534375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 82.33034375
transcript.pyannote[22].end 91.57784375
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 92.01659375
transcript.pyannote[23].end 104.92596875
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 105.16221875
transcript.pyannote[24].end 106.42784375
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 106.90034375
transcript.pyannote[25].end 111.30471875
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 111.70971875
transcript.pyannote[26].end 112.55346875
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 112.80659375
transcript.pyannote[27].end 113.95409375
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 114.74721875
transcript.pyannote[28].end 116.63721875
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 116.89034375
transcript.pyannote[29].end 118.56096875
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 119.45534375
transcript.pyannote[30].end 120.07971875
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 120.36659375
transcript.pyannote[31].end 122.77971875
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 123.06659375
transcript.pyannote[32].end 128.66909375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 129.74909375
transcript.pyannote[33].end 134.64284375
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 134.98034375
transcript.pyannote[34].end 135.97596875
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 137.00534375
transcript.pyannote[35].end 138.00096875
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 138.47346875
transcript.pyannote[36].end 140.78534375
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 141.10596875
transcript.pyannote[37].end 143.01284375
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 143.45159375
transcript.pyannote[38].end 150.84284375
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 151.01159375
transcript.pyannote[39].end 153.13784375
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 153.44159375
transcript.pyannote[40].end 163.17846875
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 163.70159375
transcript.pyannote[41].end 165.87846875
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 166.33409375
transcript.pyannote[42].end 173.01659375
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 173.35409375
transcript.pyannote[43].end 173.69159375
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 174.61971875
transcript.pyannote[44].end 180.39096875
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 181.45409375
transcript.pyannote[45].end 182.02784375
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 182.34846875
transcript.pyannote[46].end 184.45784375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 184.23846875
transcript.pyannote[47].end 195.96659375
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 195.07221875
transcript.pyannote[48].end 207.54284375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 208.20096875
transcript.pyannote[49].end 215.03534375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 215.28846875
transcript.pyannote[50].end 218.00534375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 218.27534375
transcript.pyannote[51].end 219.52409375
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 218.37659375
transcript.pyannote[52].end 220.11471875
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 220.70534375
transcript.pyannote[53].end 229.37909375
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 230.13846875
transcript.pyannote[54].end 231.08346875
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 231.69096875
transcript.pyannote[55].end 232.99034375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 233.31096875
transcript.pyannote[56].end 236.50034375
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 235.80846875
transcript.pyannote[57].end 237.37784375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 237.56346875
transcript.pyannote[58].end 238.57596875
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 238.79534375
transcript.pyannote[59].end 240.06096875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 240.82034375
transcript.pyannote[60].end 244.09409375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 244.29659375
transcript.pyannote[61].end 244.65096875
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 244.58346875
transcript.pyannote[62].end 246.00096875
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 246.69284375
transcript.pyannote[63].end 247.75596875
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 248.02596875
transcript.pyannote[64].end 248.95409375
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 249.51096875
transcript.pyannote[65].end 250.10159375
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 250.82721875
transcript.pyannote[66].end 251.73846875
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 252.07596875
transcript.pyannote[67].end 252.90284375
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 252.97034375
transcript.pyannote[68].end 254.65784375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 253.05471875
transcript.pyannote[69].end 253.59471875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 255.04596875
transcript.pyannote[70].end 258.13409375
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 257.45909375
transcript.pyannote[71].end 261.34034375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 259.85534375
transcript.pyannote[72].end 260.61471875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 261.45846875
transcript.pyannote[73].end 265.81221875
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 264.47909375
transcript.pyannote[74].end 271.14471875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 268.37721875
transcript.pyannote[75].end 270.80721875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 271.41471875
transcript.pyannote[76].end 275.61659375
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 274.60409375
transcript.pyannote[77].end 276.88221875
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 276.93284375
transcript.pyannote[78].end 280.32471875
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 280.52721875
transcript.pyannote[79].end 281.80971875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 283.32846875
transcript.pyannote[80].end 284.40846875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 286.55159375
transcript.pyannote[81].end 287.17596875
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 287.32784375
transcript.pyannote[82].end 294.70221875
transcript.pyannote[83].speaker SPEAKER_04
transcript.pyannote[83].start 293.89221875
transcript.pyannote[83].end 294.22971875
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 294.85409375
transcript.pyannote[84].end 300.82784375
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 301.31721875
transcript.pyannote[85].end 306.04221875
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 306.27846875
transcript.pyannote[86].end 309.29909375
transcript.pyannote[87].speaker SPEAKER_04
transcript.pyannote[87].start 308.60721875
transcript.pyannote[87].end 309.97409375
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 309.50159375
transcript.pyannote[88].end 323.15346875
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 323.44034375
transcript.pyannote[89].end 366.08346875
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 366.30284375
transcript.pyannote[90].end 370.31909375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 371.06159375
transcript.pyannote[91].end 380.69721875
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 374.63909375
transcript.pyannote[92].end 375.51659375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 380.15721875
transcript.pyannote[93].end 380.88284375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 380.88284375
transcript.pyannote[94].end 381.32159375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 380.93346875
transcript.pyannote[95].end 388.39221875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 382.78971875
transcript.pyannote[96].end 383.16096875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 388.83096875
transcript.pyannote[97].end 389.70846875
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 389.21909375
transcript.pyannote[98].end 402.60096875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 390.38346875
transcript.pyannote[99].end 391.19346875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 391.88534375
transcript.pyannote[100].end 393.53909375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 395.31096875
transcript.pyannote[101].end 395.76659375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 402.60096875
transcript.pyannote[102].end 407.41034375
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 403.09034375
transcript.pyannote[103].end 405.11534375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 407.46096875
transcript.pyannote[104].end 407.49471875
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 407.49471875
transcript.pyannote[105].end 411.10596875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 411.10596875
transcript.pyannote[106].end 411.22409375
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 411.22409375
transcript.pyannote[107].end 413.85659375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 411.35909375
transcript.pyannote[108].end 411.76409375
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 414.49784375
transcript.pyannote[109].end 432.16596875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 423.55971875
transcript.pyannote[110].end 423.76221875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 429.68534375
transcript.pyannote[111].end 430.17471875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 432.16596875
transcript.pyannote[112].end 433.44846875
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 432.94221875
transcript.pyannote[113].end 461.93346875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 435.27096875
transcript.pyannote[114].end 435.60846875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 440.09721875
transcript.pyannote[115].end 440.45159375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 441.91971875
transcript.pyannote[116].end 443.42159375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 461.93346875
transcript.pyannote[117].end 462.82784375
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 462.57471875
transcript.pyannote[118].end 472.31159375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 472.49721875
transcript.pyannote[119].end 483.34784375
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 483.61784375
transcript.pyannote[120].end 483.95534375
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 484.15784375
transcript.pyannote[121].end 487.71846875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 487.09409375
transcript.pyannote[122].end 487.73534375
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 487.73534375
transcript.pyannote[123].end 487.81971875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 487.81971875
transcript.pyannote[124].end 489.50721875
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 488.07284375
transcript.pyannote[125].end 489.27096875
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 489.50721875
transcript.pyannote[126].end 492.62909375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 492.56159375
transcript.pyannote[127].end 493.50659375
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 493.18596875
transcript.pyannote[128].end 506.98971875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 497.50596875
transcript.pyannote[129].end 498.11346875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 506.78721875
transcript.pyannote[130].end 515.30909375
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 507.74909375
transcript.pyannote[131].end 508.71096875
transcript.pyannote[132].speaker SPEAKER_04
transcript.pyannote[132].start 515.30909375
transcript.pyannote[132].end 515.34284375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 515.34284375
transcript.pyannote[133].end 516.96284375
transcript.pyannote[134].speaker SPEAKER_04
transcript.pyannote[134].start 515.37659375
transcript.pyannote[134].end 515.41034375
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 515.41034375
transcript.pyannote[135].end 515.44409375
transcript.pyannote[136].speaker SPEAKER_04
transcript.pyannote[136].start 515.44409375
transcript.pyannote[136].end 515.46096875
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 516.96284375
transcript.pyannote[137].end 520.10159375
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 520.54034375
transcript.pyannote[138].end 522.48096875
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 522.66659375
transcript.pyannote[139].end 536.16659375
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 536.97659375
transcript.pyannote[140].end 538.73159375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 538.37721875
transcript.pyannote[141].end 543.23721875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 543.45659375
transcript.pyannote[142].end 545.26221875
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 544.67159375
transcript.pyannote[143].end 557.31096875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 545.32971875
transcript.pyannote[144].end 547.21971875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 550.89846875
transcript.pyannote[145].end 551.94471875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 555.87659375
transcript.pyannote[146].end 557.00721875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 557.31096875
transcript.pyannote[147].end 557.37846875
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 557.37846875
transcript.pyannote[148].end 557.49659375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 557.49659375
transcript.pyannote[149].end 557.56409375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 557.76659375
transcript.pyannote[150].end 561.09096875
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 560.17971875
transcript.pyannote[151].end 564.60096875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 562.22159375
transcript.pyannote[152].end 563.52096875
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 564.92159375
transcript.pyannote[153].end 569.73096875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 565.17471875
transcript.pyannote[154].end 565.20846875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 565.76534375
transcript.pyannote[155].end 566.38971875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 567.45284375
transcript.pyannote[156].end 568.27971875
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 569.96721875
transcript.pyannote[157].end 577.30784375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 571.94159375
transcript.pyannote[158].end 576.00846875
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 578.21909375
transcript.pyannote[159].end 579.46784375
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 580.49721875
transcript.pyannote[160].end 582.69096875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 582.31971875
transcript.pyannote[161].end 583.82159375
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 587.48346875
transcript.pyannote[162].end 588.10784375
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 588.51284375
transcript.pyannote[163].end 631.35846875
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 631.74659375
transcript.pyannote[164].end 647.60909375
transcript.pyannote[165].speaker SPEAKER_04
transcript.pyannote[165].start 647.60909375
transcript.pyannote[165].end 647.96346875
transcript.pyannote[166].speaker SPEAKER_04
transcript.pyannote[166].start 648.31784375
transcript.pyannote[166].end 658.66221875
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 656.89034375
transcript.pyannote[167].end 658.44284375
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 658.66221875
transcript.pyannote[168].end 691.29846875
transcript.pyannote[169].speaker SPEAKER_04
transcript.pyannote[169].start 680.59971875
transcript.pyannote[169].end 680.97096875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 680.97096875
transcript.pyannote[170].end 681.69659375
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 691.41659375
transcript.pyannote[171].end 701.74409375
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 702.25034375
transcript.pyannote[172].end 705.65909375
transcript.pyannote[173].speaker SPEAKER_04
transcript.pyannote[173].start 706.53659375
transcript.pyannote[173].end 711.78471875
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 711.48096875
transcript.pyannote[174].end 727.03971875
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 727.34346875
transcript.pyannote[175].end 740.45534375
transcript.pyannote[176].speaker SPEAKER_04
transcript.pyannote[176].start 728.22096875
transcript.pyannote[176].end 729.90846875
transcript.pyannote[177].speaker SPEAKER_04
transcript.pyannote[177].start 734.38034375
transcript.pyannote[177].end 734.97096875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 734.97096875
transcript.pyannote[178].end 735.00471875
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 740.65784375
transcript.pyannote[179].end 742.19346875
transcript.pyannote[180].speaker SPEAKER_03
transcript.pyannote[180].start 742.37909375
transcript.pyannote[180].end 745.50096875
transcript.pyannote[181].speaker SPEAKER_03
transcript.pyannote[181].start 746.49659375
transcript.pyannote[181].end 747.57659375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 747.57659375
transcript.pyannote[182].end 748.33596875
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 748.48784375
transcript.pyannote[183].end 749.46659375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 750.58034375
transcript.pyannote[184].end 752.67284375
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 752.06534375
transcript.pyannote[185].end 755.92971875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 756.08159375
transcript.pyannote[186].end 757.24596875
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 757.34721875
transcript.pyannote[187].end 759.20346875
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 759.59159375
transcript.pyannote[188].end 771.65721875
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 772.28159375
transcript.pyannote[189].end 776.78721875
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 778.44096875
transcript.pyannote[190].end 781.95096875
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 783.60471875
transcript.pyannote[191].end 788.86971875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 789.56159375
transcript.pyannote[192].end 790.47284375
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 791.80596875
transcript.pyannote[193].end 795.04596875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 795.36659375
transcript.pyannote[194].end 796.29471875
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 796.29471875
transcript.pyannote[195].end 802.52159375
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 796.32846875
transcript.pyannote[196].end 796.41284375
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 800.41221875
transcript.pyannote[197].end 800.66534375
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 803.87159375
transcript.pyannote[198].end 805.86284375
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 806.67284375
transcript.pyannote[199].end 813.87846875
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 814.89096875
transcript.pyannote[200].end 817.25346875
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 817.97909375
transcript.pyannote[201].end 821.13471875
transcript.pyannote[202].speaker SPEAKER_03
transcript.pyannote[202].start 821.69159375
transcript.pyannote[202].end 831.39471875
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 831.79971875
transcript.pyannote[203].end 836.01846875
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 836.54159375
transcript.pyannote[204].end 839.54534375
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 840.57471875
transcript.pyannote[205].end 841.75596875
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 842.56596875
transcript.pyannote[206].end 845.82284375
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 846.24471875
transcript.pyannote[207].end 851.86409375
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 852.31971875
transcript.pyannote[208].end 854.02409375
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 854.39534375
transcript.pyannote[209].end 856.77471875
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 856.97721875
transcript.pyannote[210].end 859.66034375
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 859.99784375
transcript.pyannote[211].end 864.53721875
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 866.42721875
transcript.pyannote[212].end 870.76409375
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 871.18596875
transcript.pyannote[213].end 871.81034375
transcript.whisperx[0].start 2.213
transcript.whisperx[0].end 19.794
transcript.whisperx[0].text 接下来我们请杨球英召委咨询谢谢主席 杨球英发言 邀请国发会国发会委员长
transcript.whisperx[1].start 21.114
transcript.whisperx[1].end 48.874
transcript.whisperx[1].text 主委早我們政府全力的在推動AI指導但是算力的基礎設施背後的能源成本似乎被刻意的來淡化但是據我們媒體報導在5月30號的時候國家高速網路與計算中心的三部超級電腦一年電費要多少主委你注意到這個新聞嗎
transcript.whisperx[2].start 51.19
transcript.whisperx[2].end 71.307
transcript.whisperx[2].text 主委你在推動AI指導你是很重要的推手你怎麼連媒體在5月30號所報導的這個訊息你都不知道那你怎麼樣能夠去預估呢
transcript.whisperx[3].start 72.495
transcript.whisperx[3].end 91.433
transcript.whisperx[3].text 就部件呢本期告诉你据媒体的报道他是说这三部超级电脑一年的电费要破亿元再以台积电的用电来看2023年是230亿度那么预估在2030年的时候要330亿度
transcript.whisperx[4].start 92.274
transcript.whisperx[4].end 112.93
transcript.whisperx[4].text 單一個企業幾乎要佔據了消耗了全國11%的電力隨著企業大規模的導入AI的訓練跟運算需求我們的國力 電力 綠電 水資源的缺口也正在擴大甚至出現綠電被大廠買光
transcript.whisperx[5].start 119.797
transcript.whisperx[5].end 135.728
transcript.whisperx[5].text 綁了買光的一個壟斷現象但是政府到現在你沒有提出算力能源的評估標準也沒有跨部會的去協調能源的預算所以導致
transcript.whisperx[6].start 137.422
transcript.whisperx[6].end 162.862
transcript.whisperx[6].text 這個面向也就是產業盡力努力去衝但是能源不夠用那AI的戰力可能會從國家的戰略變成是能源的黑洞所以本期首先要請教我們政府要全面的推動整個算力作為國家級的一個基礎建設那麼國防會你現在面對面對這樣子的超級電腦
transcript.whisperx[7].start 166.405
transcript.whisperx[7].end 179.861
transcript.whisperx[7].text AI的訓練中心跟先進製程的一個極速拉高電力的需求的情況你認為整個的能源總量的控管你要做怎麼樣的
transcript.whisperx[8].start 182.437
transcript.whisperx[8].end 207.237
transcript.whisperx[8].text 預估 評估 佈建 請說說跟委員報告就是說其實經濟部在對於中長期的用電已經有把這個部分納入考量所以就是說預估來講的話未來十年納入考量你連我們國家最重要的國家高速網路與計算中心的三倍超過這個三部超級電腦一年要增加多少你知道要增加多少嗎
transcript.whisperx[9].start 210.1
transcript.whisperx[9].end 232.806
transcript.whisperx[9].text 這個經濟部的資料裡面他有考慮他們預估每一年大概會增加1.7%的用電的成長但是告訴國發會主委既然你的主責要推動AI指導你要怎麼樣去提出明確的能源總量管控以及配套你們會不會提出啊
transcript.whisperx[10].start 233.616
transcript.whisperx[10].end 260.502
transcript.whisperx[10].text 這個部分我們會跟經濟部跟國你什麼時候要提出我們會盡快盡快是什麼時候請告訴我們因為產業一直在前面衝但是他很害怕到底我的電力夠不夠算力超級電腦請做說明你們預估什麼時候會提出這個部分我必須要跟那個經濟部跟你說的很快是什麼時候你告訴我一個時間點嗎
transcript.whisperx[11].start 261.542
transcript.whisperx[11].end 275.23
transcript.whisperx[11].text 因為我要跟那個經濟部這邊所以你的頭腦所謂的很快是隨便答一答你沒有時間點嘛 是不是不會是什麼時間點我也沒有辦法給委員很明確因為我必須要跟那個經濟部這邊沒有辦法給本席嘛你也沒有明確的時間點嘛好 那我們請經濟部長來我們一起
transcript.whisperx[12].start 287.909
transcript.whisperx[12].end 302.253
transcript.whisperx[12].text 我們前一段時間本席跟廖院長 中研院院長討論過電要從哪裡來而且我們看到2030年是2800億度 2050年是5000億度而且廖院長說還不止 大概是2050年大概6000億度
transcript.whisperx[13].start 309.655
transcript.whisperx[13].end 324.164
transcript.whisperx[13].text 但是他認為這個數字是沒有加入剛剛本席跟國防會主委在討論的算力以及超級電腦的這個部分喔是沒有喔所以本席也請問了廖院長你知不知詞
transcript.whisperx[14].start 325.104
transcript.whisperx[14].end 352.596
transcript.whisperx[14].text 合二合三重啟的這個立場他是支持的他明確的說支持而且他說台灣不只台灣的技術還有國際的技術我們是有能力的這是廖院長在教育委員會的時候回答本席的議題因為我們知道加入了算力加入了這個超級電腦我們的電力務必跟原先的一個規劃是不一樣的
transcript.whisperx[15].start 353.416
transcript.whisperx[15].end 370.123
transcript.whisperx[15].text 它是增加的 它是增加的所以為了不讓我們的產業在前面衝怕能源這些電力是不夠的所以本席來請教請教那麼部長重啟核二核三您的立場呢
transcript.whisperx[16].start 372.187
transcript.whisperx[16].end 388.254
transcript.whisperx[16].text 行政部門是依法行政您的立場呢合法已經修了嘛讓我們可以有這個依法對 而且送到你這邊啊送到行政院啊 合下來的沒有他說這個禮拜要合啊 上次你答覆本席的啊
transcript.whisperx[17].start 389.154
transcript.whisperx[17].end 395.017
transcript.whisperx[17].text 對不對 你們台電送給你們你們要給這個行政院嘛你告訴本席 上個禮拜告訴本席說這個禮拜行政院要簽 準跟不準嘛簽了嗎 今天禮拜四勒簽了嗎 12月初啦
transcript.whisperx[18].start 407.583
transcript.whisperx[18].end 411.628
transcript.whisperx[18].text 你說下個禮拜怎麼可能12月數到代對不對為什麼會這樣子呢在這邊都有錄音錄影我們希望好好的給你們力量去協助民眾發展我們的產業又來了一個盡快剛剛國發會主委告訴我
transcript.whisperx[19].start 426.426
transcript.whisperx[19].end 452.876
transcript.whisperx[19].text 儘快我問了 最後他說他沒有辦法告訴我時間那現在你又來一個儘快那在你的立場因為廖院長已經正式的在教育委員會答覆本席那請問您的立場您是不支持朝這個方 依法行政當然所以我們也改了這個法律嘛那所以本席再一次的請教你您的立場 因為我們需求量很大
transcript.whisperx[20].start 454.016
transcript.whisperx[20].end 482.595
transcript.whisperx[20].text 而且政府也說採開放式的態度去看待核電再重啟以及核電的新技術對不對對那你的立場支不支持核二核三在安全無力的範圍之內呢那麼重啟核二跟核三來增加電力對 巴委員您剛才講說安全無意所以我們現在就在12月初之前我們就看看那個如果安全無意可以大致上可以完成我們就會簽核然後就會開始啟動
transcript.whisperx[21].start 483.676
transcript.whisperx[21].end 500.143
transcript.whisperx[21].text 好 所以方向是一致的也就是依法 那你們會行政院你要趕快去追啊因為他追了之後你還要後續要檢查我們還是要安全啊那如果在安全無慮的這個情況之下
transcript.whisperx[22].start 500.563
transcript.whisperx[22].end 516.715
transcript.whisperx[22].text 您經濟部長的立場是同意合二合三來做這個重啟增加我們的定力三個原則就是合安合肺跟共識嘛那我們現在就是把合安真的趕快做好好那剛剛這個我們有共識那請教剛剛國防衛主委
transcript.whisperx[23].start 520.638
transcript.whisperx[23].end 535.933
transcript.whisperx[23].text 您說要問經濟部那麼這個算力超級電腦我們增加這個你當政府就一定要超前來部署那什麼時候可以將你們預估的這個電量管控評估
transcript.whisperx[24].start 537.355
transcript.whisperx[24].end 554.275
transcript.whisperx[24].text 請告訴社會大眾 給本席我們2032年之前也做了一些估算那當然 呃 國會他們剛剛本席已經告訴你那沒有加入沒有加入超級電腦也沒有加入算力啊國會主委在你身邊啊他說他要問你 你要讓他問啊我知道
transcript.whisperx[25].start 555.977
transcript.whisperx[25].end 582.83
transcript.whisperx[25].text 你知道要什麼時候嗎我們都會滾動檢討你請告訴我們一個時間點因為產業很急一個月一個月內告訴本席你們的這個怎麼樣去計算怎麼樣去佈建一個月內告訴本席接下來本席要請教我們的速發部速發部跟經濟部請留下速發部謝謝
transcript.whisperx[26].start 587.686
transcript.whisperx[26].end 604.445
transcript.whisperx[26].text 數法部AI人才的培育是國家數位轉型非常重要以及產業升級的關鍵命脈那政府當然責無旁貸必須要去帶頭推動但是我們現在AI的人才在國家級的檢定經濟部是IPAS
transcript.whisperx[27].start 605.026
transcript.whisperx[27].end 629.117
transcript.whisperx[27].text IPAS的部分剛剛部長也說了今年度你們一萬四千人一萬四千人去報名然後有六千五百人通過那初期的部分上個禮拜本席也跟部長在討論也就是你們將初期的部分初期來考試考為中高級所以你在初期的公布通過的認證是38%
transcript.whisperx[28].start 631.818
transcript.whisperx[28].end 647.405
transcript.whisperx[28].text 那其實這個部分是希望能夠全面的去推動抒發布我們這個部分是不是台灣既然要成為AI人才島那我們更應該全面去推進嗎是不是 抒發布
transcript.whisperx[29].start 648.445
transcript.whisperx[29].end 663.301
transcript.whisperx[29].text 是跟委員報告其實除了經濟部他們就是經濟部處理的這個iPath這個認證之外本席請問你我們既然認為是AI的人才培育是國家數位轉型跟產業發展的關鍵命脈
transcript.whisperx[30].start 665.043
transcript.whisperx[30].end 681.078
transcript.whisperx[30].text 那我们是不是各部会因为你现在没有一个统筹单位嘛各部会散布在各部会你让他们去做嘛但是我们要看他的成效啊所以这个原则是不是应该全面全民去推动是不是是是完全是嘛所以
transcript.whisperx[31].start 682.259
transcript.whisperx[31].end 697.191
transcript.whisperx[31].text 他們現在要繳4000到6000元的學費那考試的部分大概1300塊但是我們看到你的認證的部分大家認為教學的品質以及過時的教材這個部分是不是應該要去精進方案
transcript.whisperx[32].start 707.108
transcript.whisperx[32].end 726.269
transcript.whisperx[32].text 跟委員報告 這個部分因為是經濟部這邊處理的不是經濟部處理 是施策會現在本席所說的是施策會你是抒發部啊 你怎麼會就推到經濟部呢我們單位主管敬請各位各盡本職既然你要散落在各部會你就應該要負責啊是是
transcript.whisperx[33].start 728.291
transcript.whisperx[33].end 749.252
transcript.whisperx[33].text 是不是 所以針對你的這個教材針對教學品質 本席具體要求你書發布要好好的去精進好 精進方案給本席那部長 上次本席告訴你說你考試要公布答案呢你現在公布了嗎 什麼時候要公布
transcript.whisperx[34].start 750.626
transcript.whisperx[34].end 776.61
transcript.whisperx[34].text 就是考完以後就會公布你沒有公布啊 你到現在還沒公布啊大家都在等啊一個禮拜 一個禮拜為什麼可以這樣亂答呢本席上次就跟你討論這個問題我們既然要全面的推動你也答覆本席說要公布到現在還在那邊牽扯還在那邊牽扯 還不公布跟你答的跟做的完全不一樣你怎麼樣取信於人民呢
transcript.whisperx[35].start 778.593
transcript.whisperx[35].end 804.318
transcript.whisperx[35].text AI的認證這麼樣的重要 為什麼要胡亂打連你在現場答覆說要公佈答案到現在還沒公佈 什麼時候要公佈一個禮拜以內現在開始的一個禮拜還是上個禮拜的一個禮拜現在現在開始 好 我們有錄音錄音我希望你盡快公佈齁 還有公版的教材因為你剛開始 部長
transcript.whisperx[36].start 806.772
transcript.whisperx[36].end 815.8
transcript.whisperx[36].text 你剛開始 你要公本的教材你給社會大眾 大家一起來學習這才是我們要的嘛 是不是是不是書畫部部長 經濟部部長
transcript.whisperx[37].start 818.218
transcript.whisperx[37].end 841.522
transcript.whisperx[37].text 為什麼各部會 既然政府現在還沒有辦法去統一那你應該各部會你必須將你的材料 你的教材你考試完公布答案你不公布答案我怎麼知道你給我通過跟不通過是真的還假的為什麼政府要做這樣 連這個都要詐騙不可以如此嘛
transcript.whisperx[38].start 842.865
transcript.whisperx[38].end 864.483
transcript.whisperx[38].text 經濟部長 您說一個禮拜內公布嘛因為你中期的快要公布了希望 本期希望你公布答案啊這本來就應該公布的嘛讓大家有所學習嘛 對不對教材的部分我請一定要去精進讓大家全民推動我們才是一個真正的AI之島嘛請照剛剛所說的時間點據此作出 謝謝