iVOD / 161382

Field Value
IVOD_ID 161382
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/161382
日期 2025-05-14
會議資料.會議代碼 聯席會議-11-3-22,23-1
會議資料.會議代碼:str 第11屆第3會期教育及文化、交通委員會第1次聯席會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 1
會議資料.種類 聯席會議
會議資料.委員會代碼[0] 22
會議資料.委員會代碼[1] 23
會議資料.委員會代碼:str[0] 教育及文化委員會
會議資料.委員會代碼:str[1] 交通委員會
會議資料.標題 第11屆第3會期教育及文化、交通委員會第1次聯席會議
影片種類 Clip
開始時間 2025-05-14T13:20:30+08:00
結束時間 2025-05-14T13:29:14+08:00
影片長度 00:08:44
支援功能[0] ai-transcript
支援功能[1] gazette
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4f2e91488ef6971b286b09bd3d69e36aebe85dec65e1b640c717538999138866c299908bd24946c85ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 謝龍介
委員發言時間 13:20:30 - 13:29:14
會議時間 2025-05-14T09:00:00+08:00
會議名稱 立法院第11屆第3會期教育及文化、交通委員會第1次聯席會議(事由:一、審查委員葛如鈞等37人擬具「人工智慧基本法草案」案。 二、審查委員邱若華等17人擬具「人工智慧基本法草案」案。 三、審查委員羅廷瑋等17人擬具「人工智慧基本法草案」案。 四、審查委員萬美玲等18人擬具「人工智慧基本法草案」案。 五、審查委員許宇甄等20人擬具「人工智慧基本法草案」案。 六、審查委員張嘉郡等21人擬具「人工智慧基本法草案」案。 七、審查委員林倩綺等23人擬具「人工智慧基本法草案」案。 (僅進行詢答))
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 5.92034375
transcript.pyannote[0].end 14.79659375
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 15.43784375
transcript.pyannote[1].end 17.58096875
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 22.45784375
transcript.pyannote[2].end 23.84159375
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 24.07784375
transcript.pyannote[3].end 28.85346875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 25.39409375
transcript.pyannote[4].end 25.66409375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 29.39346875
transcript.pyannote[5].end 30.00096875
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 30.38909375
transcript.pyannote[6].end 32.17784375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 30.43971875
transcript.pyannote[7].end 30.72659375
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 34.99596875
transcript.pyannote[8].end 36.29534375
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 37.54409375
transcript.pyannote[9].end 38.47221875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 38.70846875
transcript.pyannote[10].end 39.23159375
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 40.21034375
transcript.pyannote[11].end 44.02409375
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 44.93534375
transcript.pyannote[12].end 47.75346875
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 48.49596875
transcript.pyannote[13].end 49.45784375
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 49.91346875
transcript.pyannote[14].end 52.98471875
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 57.89534375
transcript.pyannote[15].end 61.86096875
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 62.26596875
transcript.pyannote[16].end 64.12221875
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 65.03346875
transcript.pyannote[17].end 67.80096875
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 69.96096875
transcript.pyannote[18].end 71.32784375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 73.18409375
transcript.pyannote[19].end 73.77471875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 73.89284375
transcript.pyannote[20].end 74.46659375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 74.58471875
transcript.pyannote[21].end 75.81659375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 75.81659375
transcript.pyannote[22].end 77.26784375
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 79.02284375
transcript.pyannote[23].end 79.57971875
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 80.23784375
transcript.pyannote[24].end 81.70596875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 80.87909375
transcript.pyannote[25].end 80.98034375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 80.98034375
transcript.pyannote[26].end 81.03096875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 81.03096875
transcript.pyannote[27].end 81.48659375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 81.70596875
transcript.pyannote[28].end 81.89159375
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 81.89159375
transcript.pyannote[29].end 85.63784375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 81.90846875
transcript.pyannote[30].end 81.97596875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 81.97596875
transcript.pyannote[31].end 82.02659375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 82.02659375
transcript.pyannote[32].end 82.22909375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 82.22909375
transcript.pyannote[33].end 82.41471875
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 88.32096875
transcript.pyannote[34].end 89.26596875
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 90.27846875
transcript.pyannote[35].end 90.54846875
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 91.30784375
transcript.pyannote[36].end 92.37096875
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 93.61971875
transcript.pyannote[37].end 95.34096875
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 95.99909375
transcript.pyannote[38].end 99.00284375
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 100.28534375
transcript.pyannote[39].end 100.79159375
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 101.56784375
transcript.pyannote[40].end 104.25096875
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 104.41971875
transcript.pyannote[41].end 105.78659375
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 110.93346875
transcript.pyannote[42].end 115.81034375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 116.16471875
transcript.pyannote[43].end 118.17284375
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 116.31659375
transcript.pyannote[44].end 116.77221875
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 118.17284375
transcript.pyannote[45].end 119.13471875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 120.77159375
transcript.pyannote[46].end 120.83909375
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 120.83909375
transcript.pyannote[47].end 120.90659375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 120.90659375
transcript.pyannote[48].end 124.06221875
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 121.58159375
transcript.pyannote[49].end 122.99909375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 124.58534375
transcript.pyannote[50].end 127.28534375
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 127.25159375
transcript.pyannote[51].end 127.75784375
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 128.41596875
transcript.pyannote[52].end 132.19596875
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 134.38971875
transcript.pyannote[53].end 141.07221875
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 143.36721875
transcript.pyannote[54].end 145.05471875
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 146.94471875
transcript.pyannote[55].end 148.56471875
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 149.44221875
transcript.pyannote[56].end 150.85971875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 152.24346875
transcript.pyannote[57].end 154.70721875
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 155.77034375
transcript.pyannote[58].end 156.10784375
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 156.54659375
transcript.pyannote[59].end 158.31846875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 159.24659375
transcript.pyannote[60].end 162.72284375
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 163.34721875
transcript.pyannote[61].end 164.71409375
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 165.43971875
transcript.pyannote[62].end 171.48096875
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 172.88159375
transcript.pyannote[63].end 175.88534375
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 176.37471875
transcript.pyannote[64].end 181.15034375
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 181.92659375
transcript.pyannote[65].end 190.24596875
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 192.15284375
transcript.pyannote[66].end 193.63784375
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 194.88659375
transcript.pyannote[67].end 198.02534375
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 199.20659375
transcript.pyannote[68].end 202.05846875
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 202.85159375
transcript.pyannote[69].end 203.62784375
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 205.01159375
transcript.pyannote[70].end 207.17159375
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 207.98159375
transcript.pyannote[71].end 209.43284375
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 210.10784375
transcript.pyannote[72].end 211.81221875
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 212.47034375
transcript.pyannote[73].end 213.48284375
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 214.19159375
transcript.pyannote[74].end 215.62596875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 216.63846875
transcript.pyannote[75].end 217.75221875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 217.17846875
transcript.pyannote[76].end 217.39784375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 219.16971875
transcript.pyannote[77].end 225.12659375
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 225.12659375
transcript.pyannote[78].end 225.37971875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 225.37971875
transcript.pyannote[79].end 225.51471875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 225.80159375
transcript.pyannote[80].end 226.79721875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 226.79721875
transcript.pyannote[81].end 226.81409375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 227.67471875
transcript.pyannote[82].end 228.43409375
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 229.56471875
transcript.pyannote[83].end 232.36596875
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 232.87221875
transcript.pyannote[84].end 234.62721875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 235.69034375
transcript.pyannote[85].end 236.07846875
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 236.50034375
transcript.pyannote[86].end 238.13721875
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 239.21721875
transcript.pyannote[87].end 241.83284375
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 241.93409375
transcript.pyannote[88].end 243.23346875
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 244.11096875
transcript.pyannote[89].end 246.42284375
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 247.16534375
transcript.pyannote[90].end 248.26221875
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 249.07221875
transcript.pyannote[91].end 249.39284375
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 250.33784375
transcript.pyannote[92].end 252.19409375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 253.25721875
transcript.pyannote[93].end 255.87284375
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 257.64471875
transcript.pyannote[94].end 260.05784375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 261.27284375
transcript.pyannote[95].end 264.95159375
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 265.49159375
transcript.pyannote[96].end 266.38596875
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 266.92596875
transcript.pyannote[97].end 267.76971875
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 268.34346875
transcript.pyannote[98].end 269.03534375
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 270.01409375
transcript.pyannote[99].end 271.14471875
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 271.97159375
transcript.pyannote[100].end 275.83596875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 276.98346875
transcript.pyannote[101].end 278.41784375
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 280.03784375
transcript.pyannote[102].end 281.26971875
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 281.97846875
transcript.pyannote[103].end 285.10034375
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 285.92721875
transcript.pyannote[104].end 287.34471875
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 287.76659375
transcript.pyannote[105].end 289.15034375
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 289.63971875
transcript.pyannote[106].end 290.53409375
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 291.20909375
transcript.pyannote[107].end 292.15409375
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 294.28034375
transcript.pyannote[108].end 295.02284375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 295.02284375
transcript.pyannote[109].end 295.15784375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 298.12784375
transcript.pyannote[110].end 304.28721875
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 302.76846875
transcript.pyannote[111].end 304.40534375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 305.13096875
transcript.pyannote[112].end 305.14784375
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 305.14784375
transcript.pyannote[113].end 309.67034375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 310.22721875
transcript.pyannote[114].end 312.33659375
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 313.12971875
transcript.pyannote[115].end 316.15034375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 317.39909375
transcript.pyannote[116].end 320.55471875
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 321.49971875
transcript.pyannote[117].end 324.16596875
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 324.60471875
transcript.pyannote[118].end 326.47784375
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 328.13159375
transcript.pyannote[119].end 329.36346875
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 330.34221875
transcript.pyannote[120].end 331.84409375
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 332.45159375
transcript.pyannote[121].end 335.48909375
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 336.80534375
transcript.pyannote[122].end 341.14221875
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 341.86784375
transcript.pyannote[123].end 349.34346875
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 350.54159375
transcript.pyannote[124].end 355.97534375
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 358.37159375
transcript.pyannote[125].end 361.76346875
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 362.57346875
transcript.pyannote[126].end 365.13846875
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 365.50971875
transcript.pyannote[127].end 366.91034375
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 367.83846875
transcript.pyannote[128].end 368.61471875
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 369.81284375
transcript.pyannote[129].end 374.65596875
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 375.22971875
transcript.pyannote[130].end 378.79034375
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 379.34721875
transcript.pyannote[131].end 381.92909375
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 382.94159375
transcript.pyannote[132].end 386.43471875
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 387.24471875
transcript.pyannote[133].end 388.81409375
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 389.99534375
transcript.pyannote[134].end 391.02471875
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 391.09221875
transcript.pyannote[135].end 394.18034375
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 394.55159375
transcript.pyannote[136].end 395.54721875
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 396.57659375
transcript.pyannote[137].end 397.94346875
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 398.34846875
transcript.pyannote[138].end 400.15409375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 402.49971875
transcript.pyannote[139].end 420.20159375
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 420.20159375
transcript.pyannote[140].end 425.36534375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 425.61846875
transcript.pyannote[141].end 434.44409375
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 434.44409375
transcript.pyannote[142].end 447.08346875
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 447.48846875
transcript.pyannote[143].end 448.99034375
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 450.03659375
transcript.pyannote[144].end 452.29784375
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 453.32721875
transcript.pyannote[145].end 455.08221875
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 455.60534375
transcript.pyannote[146].end 456.38159375
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 457.12409375
transcript.pyannote[147].end 460.19534375
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 460.56659375
transcript.pyannote[148].end 468.09284375
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 468.78471875
transcript.pyannote[149].end 469.07159375
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 469.89846875
transcript.pyannote[150].end 470.57346875
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 471.67034375
transcript.pyannote[151].end 472.19346875
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 472.76721875
transcript.pyannote[152].end 475.28159375
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 476.17596875
transcript.pyannote[153].end 478.74096875
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 479.12909375
transcript.pyannote[154].end 481.60971875
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 482.36909375
transcript.pyannote[155].end 484.78221875
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 485.50784375
transcript.pyannote[156].end 488.98409375
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 490.06409375
transcript.pyannote[157].end 492.46034375
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 493.15221875
transcript.pyannote[158].end 497.33721875
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 498.07971875
transcript.pyannote[159].end 498.77159375
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 499.64909375
transcript.pyannote[160].end 501.42096875
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 503.19284375
transcript.pyannote[161].end 506.21346875
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 507.17534375
transcript.pyannote[162].end 510.46596875
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 511.69784375
transcript.pyannote[163].end 517.82346875
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 519.02159375
transcript.pyannote[164].end 519.25784375
gazette.lineno 940
gazette.blocks[0][0] 謝委員龍介:(13時20分)主席,吳主委請假,那就請副主委跟執行秘書以及蔡處長。
gazette.blocks[1][0] 主席:好,請相關官員備質詢,謝謝。
gazette.blocks[2][0] 謝委員龍介:還有數發部次長。
gazette.blocks[3][0] 主席:好,數發部次長,謝謝。
gazette.blocks[4][0] 謝委員龍介:陳副主委,我請教你,現在我國超級電腦的計算力在世界的排名大概排在什麼位置?大約就可以了。
gazette.blocks[5][0] 陳副主任委員炳宇:16名,大概差不多第16名。
gazette.blocks[6][0] 謝委員龍介:第16名?你這麼有自信喔?
gazette.blocks[7][0] 陳副主任委員炳宇:第11名。
gazette.blocks[8][0] 謝委員龍介:11名是剛才人家說的,這個資料從哪裡來的?我跟你說,這8、9年來我們國家沒有投資嘛,沒有投資是要怎麼有好的排名,對不對?全世界最頂尖的前五名,你可不可以說給我聽一下,全世界最頂尖的前五名,美國在內,再來呢?
gazette.blocks[9][0] 陳副主任委員炳宇:抱歉,我們查一下。
gazette.blocks[10][0] 謝委員龍介:要再查一下?你要研究AI……
gazette.blocks[11][0] 陳副主任委員炳宇:應該是美國、日本、中國……
gazette.blocks[12][0] 謝委員龍介:好,你說這三個就算你有概念了。卓院長說他是AI內閣,這樣看起來,從早上9點來聽到現在是變成「會害」的內閣。國家如果不投資,你沒有強大的算力,就不可能發展所謂的軍工業,就不要再說AI了,沒有穩定的能源,你怎麼可能去做這些投資?所以,為什麼黃仁勳會一次在美國就喊出5,000億美金的投資,為什麼對臺灣不能這麼大手筆,我想這是很清楚的。
gazette.blocks[12][1] 立法是這樣,剛開始這是一個基本法,因為吳主委也不在,我想應該你們有多次開會,尤其處長,你們也都有在參與。AI當然在未來的時間裡面可能會一日千里,所以法令要從寬,但是以我們東方人的文化,就是以人為本,我不知道你們有用這個概念去做基礎嗎?副主委,有嗎?還是處長?
gazette.blocks[13][0] 陳副主任委員炳宇:有,我們在討論AI基本法的時候,是有考慮這一點。
gazette.blocks[14][0] 謝委員龍介:有就對了,所以你並沒有不同的見解,就是以人為本這個見解是符合用人類做中心就對了,這個思維發展當然也比較符合我們東方文化。
gazette.blocks[14][1] 在這樣的情形下,整個AI模型的建立,投資的金額坦白說我們差人家很多,所以你說整個data的模型、數據的內涵、數量的基礎,你要怎麼跟大陸比?這不是長他人志氣滅自己威風,人家投資很多,人家是投資了很多,我們的投資很少。我不說是誰,就是我們的部會首長親自來跟我說的,他說我們臺灣有人才,我要請教你們兩位,我們的人才夠不夠?夠不夠?
gazette.blocks[15][0] 陳副主任委員炳宇:跟委員報告,AI人才一定都不夠的,絕對不夠。
gazette.blocks[16][0] 謝委員龍介:都不夠,所以你要說AI內閣,結果AI的人才不夠,那你們要怎麼成為一個AI的內閣?人才不夠,政府又捨不得投資,我跟你說,AI是一旦落伍了,不是只有表面上輸人家而已,是所有全面性的落伍,會全面性的跟不上,跟不上世界的潮流,跟不上世界的腳步。所以才有執政黨的委員說,你看你們現在多放假5日,大概就會被AI取代了你的工作,放假回來工作就沒有了。不要用這樣,對人民不需要這樣,國家要提升,要進步,要走在人民的前面,走在企業的前面。
gazette.blocks[16][1] 2019年日本公布了「以人為本的AI社會原則」;但是到了2,023年,他們有討論到電信法的部分,就是AI的深度偽造最後會演變,現在詐騙愈來愈進步,你進步的速度比詐騙集團還慢就慘了,這個國家就沉淪了。針對深度偽造造成詐騙的氾濫,這個你們在修法整理的過程中有研究嗎?
gazette.blocks[17][0] 葉次長寧:有關於委員說到的詐騙的部分,部裡面的原則一向都是,固然詐騙集團會運用AI技術去詐騙,但是詐騙的防制也會運用AI的技術,所以不管是打詐的防制網還是AI技術的開發,我們都在努力進行當中。
gazette.blocks[18][0] 謝委員龍介:你們有要求他要標示形成內容的過程嗎?
gazette.blocks[19][0] 葉次長寧:應該說我們打詐條例有特別要求網際網路的平臺業者,他的廣告如果使用人工智慧或深偽技術的話,他要標示。
gazette.blocks[20][0] 謝委員龍介:所以未來在AI基本法裡面,對於各行各業,因為詐騙不是單一行業,他是利用各行各業、利用政府網站、利用媒體、利用個人、利用名人,他都有可能利用。
gazette.blocks[21][0] 葉次長寧:對,所以我們在詐欺防制條例有特別的規定。
gazette.blocks[22][0] 謝委員龍介:本席跟你探討這個是因為立法沒有辦法……基本法沒有辦法寫得很齊全,但是這一部基本法要能夠面對未來一日千里的AI變化。
gazette.blocks[22][1] 對於我國超級電腦的計算力,我希望你給我一份詳細的報告,你不要再跟我說10名之內,那個我聽不下去,沒有投資你跟我說你可以跑到10名之內。我也不要在這裡說太多別人好聽的話,我們不足的地方我們自己要檢討,我們會支持你,我們支持你的預算、支持你立法的目的,是希望我們能跟得上別人。否則所有的AI產業,當他把大額資金都拿去國外投資的時候,你不要考慮到你跟我的問題而已,你要考慮到你的兒子跟孫子的問題跟他們的將來,好不好?
gazette.blocks[23][0] 陳副主任委員炳宇:好,我們會努力。
gazette.blocks[24][0] 主席:謝謝謝龍介委員的質詢,官員請回座。
gazette.blocks[24][1] 接下來請邱若華委員質詢,邱若華委員,邱若華委員不在。
gazette.blocks[24][2] 接下來請許宇甄委員質詢,許宇甄委員,許宇甄委員不在。
gazette.blocks[24][3] 接下來請廖先翔委員質詢,廖先翔委員,廖先翔委員不在。
gazette.blocks[24][4] 接下來請楊瓊瓔委員質詢。
gazette.agenda.page_end 338
gazette.agenda.meet_id 聯席會議-11-3-22,23-1
gazette.agenda.speakers[0] 葛如鈞
gazette.agenda.speakers[1] 羅廷瑋
gazette.agenda.speakers[2] 吳宗憲
gazette.agenda.speakers[3] 張嘉郡
gazette.agenda.speakers[4] 洪孟楷
gazette.agenda.speakers[5] 柯志恩
gazette.agenda.speakers[6] 李昆澤
gazette.agenda.speakers[7] 林俊憲
gazette.agenda.speakers[8] 陳素月
gazette.agenda.speakers[9] 陳秀寳
gazette.agenda.speakers[10] 林宜瑾
gazette.agenda.speakers[11] 葉元之
gazette.agenda.speakers[12] 蔡其昌
gazette.agenda.speakers[13] 劉書彬
gazette.agenda.speakers[14] 萬美玲
gazette.agenda.speakers[15] 張雅琳
gazette.agenda.speakers[16] 郭昱晴
gazette.agenda.speakers[17] 何欣純
gazette.agenda.speakers[18] 伍麗華Saidhai‧Tahovecahe
gazette.agenda.speakers[19] 游顥
gazette.agenda.speakers[20] 徐富癸
gazette.agenda.speakers[21] 吳沛憶
gazette.agenda.speakers[22] 謝龍介
gazette.agenda.speakers[23] 楊瓊瓔
gazette.agenda.speakers[24] 范雲
gazette.agenda.speakers[25] 林沛祥
gazette.agenda.speakers[26] 邱若華
gazette.agenda.speakers[27] 廖先翔
gazette.agenda.speakers[28] 許宇甄
gazette.agenda.speakers[29] 邱志偉
gazette.agenda.page_start 263
gazette.agenda.meetingDate[0] 2025-05-14
gazette.agenda.gazette_id 1144802
gazette.agenda.agenda_lcidc_ids[0] 1144802_00005
gazette.agenda.meet_name 立法院第11屆第3會期教育及文化、交通委員會第1次聯席會議紀錄
gazette.agenda.content 一、審查委員葛如鈞等37人擬具「人工智慧基本法草案」案;二、審查委員邱若華等 17 人擬具 「人工智慧基本法草案」案;三、審查委員羅廷瑋等17人擬具「人工智慧基本法草案」案;四、 審查委員萬美玲等18人擬具「人工智慧基本法草案」案;五、審查委員許宇甄等20人擬具「人工 智慧基本法草案」案;六、審查委員張嘉郡等21人擬具「人工智慧基本法草案」案;七、審查委 員林倩綺等23人擬具「人工智慧基本法草案」案 (僅進行詢答)
gazette.agenda.agenda_id 1144802_00004