iVOD / 167663

Field Value
IVOD_ID 167663
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167663
日期 2026-03-18
會議資料.會議代碼 委員會-11-5-23-2
會議資料.會議代碼:str 第11屆第5會期交通委員會第2次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 2
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第5會期交通委員會第2次全體委員會議
影片種類 Clip
開始時間 2026-03-18T10:53:20+08:00
結束時間 2026-03-18T11:05:45+08:00
影片長度 00:12:25
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4e26a61b53ad6053848a02f782ea628375f3d6415d2a29eaff312b132094bbeaa1134436d75394885ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 何欣純
委員發言時間 10:53:20 - 11:05:45
會議時間 2026-03-18T09:00:00+08:00
會議名稱 立法院第11屆第5會期交通委員會第2次全體委員會議(事由:邀請數位發展部部長及國家科學及技術委員會主任委員就「落實臺灣AI治理與基礎建設,發展臺灣AI軟體產業」進行專題報告,並備質詢。【3月18日及19日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 5.17784375
transcript.pyannote[0].end 9.98721875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 10.25721875
transcript.pyannote[1].end 11.35409375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 15.15096875
transcript.pyannote[2].end 15.70784375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 15.70784375
transcript.pyannote[3].end 15.74159375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 15.82596875
transcript.pyannote[4].end 18.86346875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 17.20971875
transcript.pyannote[5].end 17.24346875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 17.24346875
transcript.pyannote[6].end 17.49659375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 17.49659375
transcript.pyannote[7].end 17.53034375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 18.98159375
transcript.pyannote[8].end 62.46846875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 26.11971875
transcript.pyannote[9].end 26.54159375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 26.54159375
transcript.pyannote[10].end 26.55846875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 38.18534375
transcript.pyannote[11].end 38.57346875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 44.69909375
transcript.pyannote[12].end 44.73284375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 44.78346875
transcript.pyannote[13].end 44.83409375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 44.83409375
transcript.pyannote[14].end 44.85096875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 44.85096875
transcript.pyannote[15].end 44.93534375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 49.93034375
transcript.pyannote[16].end 50.04846875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 51.28034375
transcript.pyannote[17].end 51.49971875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 51.49971875
transcript.pyannote[18].end 51.53346875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 51.53346875
transcript.pyannote[19].end 51.68534375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 63.22784375
transcript.pyannote[20].end 63.46409375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 64.29096875
transcript.pyannote[21].end 71.10846875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 71.37846875
transcript.pyannote[22].end 75.56346875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 74.02784375
transcript.pyannote[23].end 74.17971875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 76.01909375
transcript.pyannote[24].end 76.49159375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 76.49159375
transcript.pyannote[25].end 78.90471875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 79.42784375
transcript.pyannote[26].end 80.82846875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 81.40221875
transcript.pyannote[27].end 90.00846875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 85.65471875
transcript.pyannote[28].end 86.17784375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 90.27846875
transcript.pyannote[29].end 90.98721875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 91.22346875
transcript.pyannote[30].end 96.77534375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 96.69096875
transcript.pyannote[31].end 96.97784375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 96.91034375
transcript.pyannote[32].end 98.15909375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 98.58096875
transcript.pyannote[33].end 99.49221875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 100.74096875
transcript.pyannote[34].end 104.01471875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 104.13284375
transcript.pyannote[35].end 106.52909375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 106.96784375
transcript.pyannote[36].end 114.08909375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 112.60409375
transcript.pyannote[37].end 113.14409375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 114.03846875
transcript.pyannote[38].end 114.37596875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 114.79784375
transcript.pyannote[39].end 123.65721875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 119.62409375
transcript.pyannote[40].end 119.86034375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 123.65721875
transcript.pyannote[41].end 123.67409375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 124.34909375
transcript.pyannote[42].end 125.96909375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 125.98596875
transcript.pyannote[43].end 126.00284375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 126.00284375
transcript.pyannote[44].end 126.39096875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 126.39096875
transcript.pyannote[45].end 127.23471875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 127.60596875
transcript.pyannote[46].end 128.53409375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 127.70721875
transcript.pyannote[47].end 128.07846875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 128.63534375
transcript.pyannote[48].end 138.97971875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 128.77034375
transcript.pyannote[49].end 129.49596875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 139.14846875
transcript.pyannote[50].end 139.48596875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 139.63784375
transcript.pyannote[51].end 141.30846875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 142.25346875
transcript.pyannote[52].end 142.99596875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 143.63721875
transcript.pyannote[53].end 144.29534375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 144.39659375
transcript.pyannote[54].end 167.80221875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 151.53471875
transcript.pyannote[55].end 151.92284375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 169.32096875
transcript.pyannote[56].end 171.53159375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 171.83534375
transcript.pyannote[57].end 177.13409375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 177.53909375
transcript.pyannote[58].end 179.56409375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 180.42471875
transcript.pyannote[59].end 180.72846875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 180.96471875
transcript.pyannote[60].end 191.59596875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 186.06096875
transcript.pyannote[61].end 186.22971875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 191.88284375
transcript.pyannote[62].end 194.43096875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 193.40159375
transcript.pyannote[63].end 193.46909375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 193.53659375
transcript.pyannote[64].end 193.55346875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 195.81471875
transcript.pyannote[65].end 196.65846875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 196.69221875
transcript.pyannote[66].end 196.70909375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 196.70909375
transcript.pyannote[67].end 196.97909375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 196.97909375
transcript.pyannote[68].end 200.25284375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 200.62409375
transcript.pyannote[69].end 208.31909375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 208.48784375
transcript.pyannote[70].end 209.95596875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 209.46659375
transcript.pyannote[71].end 209.80409375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 210.09096875
transcript.pyannote[72].end 211.52534375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 212.31846875
transcript.pyannote[73].end 235.67346875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 219.94596875
transcript.pyannote[74].end 220.40159375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 236.01096875
transcript.pyannote[75].end 236.31471875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 236.60159375
transcript.pyannote[76].end 237.04034375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 236.65221875
transcript.pyannote[77].end 257.34096875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 239.04846875
transcript.pyannote[78].end 240.16221875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 244.07721875
transcript.pyannote[79].end 244.41471875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 249.84846875
transcript.pyannote[80].end 250.08471875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 258.10034375
transcript.pyannote[81].end 292.44096875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 291.41159375
transcript.pyannote[82].end 294.97221875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 293.33534375
transcript.pyannote[83].end 293.70659375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 295.15784375
transcript.pyannote[84].end 322.22534375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 296.11971875
transcript.pyannote[85].end 296.45721875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 297.57096875
transcript.pyannote[86].end 297.94221875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 299.89971875
transcript.pyannote[87].end 300.30471875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 303.00471875
transcript.pyannote[88].end 303.02159375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 303.02159375
transcript.pyannote[89].end 303.37596875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 307.40909375
transcript.pyannote[90].end 307.69596875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 309.85596875
transcript.pyannote[91].end 310.78409375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 312.74159375
transcript.pyannote[92].end 313.04534375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 321.63471875
transcript.pyannote[93].end 329.36346875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 328.90784375
transcript.pyannote[94].end 333.02534375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 332.58659375
transcript.pyannote[95].end 333.05909375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 333.05909375
transcript.pyannote[96].end 333.09284375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 333.26159375
transcript.pyannote[97].end 345.81659375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 335.86034375
transcript.pyannote[98].end 335.87721875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 335.87721875
transcript.pyannote[99].end 335.89409375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 335.89409375
transcript.pyannote[100].end 336.09659375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 336.78846875
transcript.pyannote[101].end 337.10909375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 342.25596875
transcript.pyannote[102].end 342.44159375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 345.49596875
transcript.pyannote[103].end 345.61409375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 345.63096875
transcript.pyannote[104].end 345.71534375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 345.98534375
transcript.pyannote[105].end 346.37346875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 346.60971875
transcript.pyannote[106].end 361.17284375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 358.54034375
transcript.pyannote[107].end 358.62471875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 358.62471875
transcript.pyannote[108].end 358.69221875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 358.69221875
transcript.pyannote[109].end 358.81034375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 360.26159375
transcript.pyannote[110].end 360.70034375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 361.45971875
transcript.pyannote[111].end 386.28284375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 364.32846875
transcript.pyannote[112].end 364.71659375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 367.55159375
transcript.pyannote[113].end 368.29409375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 370.69034375
transcript.pyannote[114].end 370.97721875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 376.98471875
transcript.pyannote[115].end 377.03534375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 377.03534375
transcript.pyannote[116].end 377.44034375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 381.18659375
transcript.pyannote[117].end 381.54096875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 382.90784375
transcript.pyannote[118].end 383.71784375
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 384.66284375
transcript.pyannote[119].end 385.11846875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 386.19846875
transcript.pyannote[120].end 386.46846875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 386.43471875
transcript.pyannote[121].end 386.45159375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 386.46846875
transcript.pyannote[122].end 398.71971875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 398.92221875
transcript.pyannote[123].end 408.69284375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 400.25534375
transcript.pyannote[124].end 400.40721875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 407.42721875
transcript.pyannote[125].end 430.49534375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 408.96284375
transcript.pyannote[126].end 411.57846875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 427.76159375
transcript.pyannote[127].end 434.03909375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 431.96346875
transcript.pyannote[128].end 432.28409375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 434.17409375
transcript.pyannote[129].end 541.39784375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 445.31159375
transcript.pyannote[130].end 445.69971875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 458.25471875
transcript.pyannote[131].end 458.59221875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 487.34721875
transcript.pyannote[132].end 488.46096875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 503.20971875
transcript.pyannote[133].end 504.37409375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 506.17971875
transcript.pyannote[134].end 506.56784375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 524.84346875
transcript.pyannote[135].end 525.16409375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 537.14534375
transcript.pyannote[136].end 537.92159375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 542.00534375
transcript.pyannote[137].end 542.32596875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 542.56221875
transcript.pyannote[138].end 544.41846875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 544.67159375
transcript.pyannote[139].end 548.62034375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 548.99159375
transcript.pyannote[140].end 558.64409375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 558.77909375
transcript.pyannote[141].end 558.94784375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 558.94784375
transcript.pyannote[142].end 559.03221875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 559.03221875
transcript.pyannote[143].end 567.70596875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 567.70596875
transcript.pyannote[144].end 567.94221875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 567.72284375
transcript.pyannote[145].end 588.02346875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 569.73096875
transcript.pyannote[146].end 570.00096875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 571.75596875
transcript.pyannote[147].end 571.97534375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 571.97534375
transcript.pyannote[148].end 572.00909375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 586.42034375
transcript.pyannote[149].end 586.63971875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 588.34409375
transcript.pyannote[150].end 590.63909375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 591.88784375
transcript.pyannote[151].end 592.52909375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 593.13659375
transcript.pyannote[152].end 600.03846875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 596.22471875
transcript.pyannote[153].end 596.54534375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 600.22409375
transcript.pyannote[154].end 602.51909375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 602.85659375
transcript.pyannote[155].end 603.05909375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 603.66659375
transcript.pyannote[156].end 606.16409375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 606.63659375
transcript.pyannote[157].end 623.30909375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 614.41596875
transcript.pyannote[158].end 615.39471875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 617.57159375
transcript.pyannote[159].end 617.89221875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 620.89596875
transcript.pyannote[160].end 621.19971875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 623.61284375
transcript.pyannote[161].end 624.20346875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 624.38909375
transcript.pyannote[162].end 624.67596875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 624.94596875
transcript.pyannote[163].end 625.72221875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 626.05971875
transcript.pyannote[164].end 627.44346875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 627.71346875
transcript.pyannote[165].end 638.64846875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 638.80034375
transcript.pyannote[166].end 646.56284375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 641.63534375
transcript.pyannote[167].end 641.66909375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 641.66909375
transcript.pyannote[168].end 641.92221875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 647.32221875
transcript.pyannote[169].end 647.94659375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 648.75659375
transcript.pyannote[170].end 649.21221875
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 649.49909375
transcript.pyannote[171].end 649.81971875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 649.81971875
transcript.pyannote[172].end 651.32159375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 651.45659375
transcript.pyannote[173].end 651.77721875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 651.91221875
transcript.pyannote[174].end 658.00409375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 658.64534375
transcript.pyannote[175].end 659.69159375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 659.74221875
transcript.pyannote[176].end 659.77596875
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 659.77596875
transcript.pyannote[177].end 660.16409375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 660.29909375
transcript.pyannote[178].end 665.74971875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 661.93596875
transcript.pyannote[179].end 662.96534375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 666.17159375
transcript.pyannote[180].end 684.85221875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 666.93096875
transcript.pyannote[181].end 667.23471875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 675.38534375
transcript.pyannote[182].end 675.68909375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 676.98846875
transcript.pyannote[183].end 677.42721875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 685.39221875
transcript.pyannote[184].end 687.88971875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 688.53096875
transcript.pyannote[185].end 696.15846875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 696.24284375
transcript.pyannote[186].end 712.07159375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 711.86909375
transcript.pyannote[187].end 738.44721875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 712.37534375
transcript.pyannote[188].end 712.71284375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 714.43409375
transcript.pyannote[189].end 714.94034375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 718.72034375
transcript.pyannote[190].end 719.10846875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 724.00221875
transcript.pyannote[191].end 724.03596875
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 724.03596875
transcript.pyannote[192].end 724.42409375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 724.42409375
transcript.pyannote[193].end 724.45784375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 739.05471875
transcript.pyannote[194].end 742.63221875
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 742.63221875
transcript.pyannote[195].end 743.50971875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 742.64909375
transcript.pyannote[196].end 744.47159375
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 743.72909375
transcript.pyannote[197].end 744.47159375
transcript.whisperx[0].start 5.823
transcript.whisperx[0].end 11.092
transcript.whisperx[0].text 謝謝主席林俊憲召委 我們是會請部長 宜靜部長我們請中華部林部長
transcript.whisperx[1].start 16.106
transcript.whisperx[1].end 36.605
transcript.whisperx[1].text 部長好我想今天的這個題目那我把定位強化台灣AI治理基礎建設全力發展台中AI軟硬體產業那第一個部分呢其實我是想問比較有關民生的問題尤其大家對數位發展部期許很深的是有關這個防止詐騙打擊詐騙
transcript.whisperx[2].start 38.226
transcript.whisperx[2].end 62.375
transcript.whisperx[2].text 尤其在這個打詐國家隊裡面數位發展部是非常重要的一個部會那層出不窮連我自己本人也被代言了也被偽造了那也在不知不覺當中怎麼會服務處會接到有人打電話來說何新淳你賣那個衣服賣到哪裡來我放一段影片給你看是
transcript.whisperx[3].start 64.346
transcript.whisperx[3].end 80.202
transcript.whisperx[3].text 以前大家覺得琵琶就是直接吃其實琵琶大麵竹鹽甘草才最大程度發揮它的作用含有豐富的維生素胡蘿蔔素30纖維我長這聲音有點像我吧很像我第一次自己聽到看到這個影片聽到
transcript.whisperx[4].start 81.924
transcript.whisperx[4].end 99.163
transcript.whisperx[4].text 這聲音怎麼那麼像我啊我嚇了一跳你知道嗎然後呢我仔細的看連那個表情都還會跟著動然後呢好像是真的我自己在講話在推銷這一個產品一樣不過再仔細看久一點
transcript.whisperx[5].start 101.682
transcript.whisperx[5].end 128.276
transcript.whisperx[5].text 發現聲音到後來稍微有點不太一樣了第二個他的影片的製造確實有一些短髮髮型之間的變動看出來是剪輯的或者是AI生成的但是一般民眾並不會像我因為我是被害者所以我很認真的在看這個影片才知道這個跟我不太一樣一般人看不清楚
transcript.whisperx[6].start 128.789
transcript.whisperx[6].end 140.607
transcript.whisperx[6].text 所以我在第一時間人家告訴我說你在代言我要想買琵琶我說沒有沒有我要澄清的時候我馬上第一個報案第二個我也
transcript.whisperx[7].start 142.741
transcript.whisperx[7].end 167.619
transcript.whisperx[7].text 發圖卡 拋文也在地方的各個群組裡面告訴說核心純沒有代言任何產品這是假的我支持我們太平生產的琵琶農特產品我絕對全力支持也願意行銷代言但是呢絕對不能像這樣子被這個冒名然後代言所謂的竹鹽琵琶而且我看到
transcript.whisperx[8].start 169.386
transcript.whisperx[8].end 193.942
transcript.whisperx[8].text 在彰化有民眾真的去買了你看他在手機上顯示他真的去訂購了訂購來之後呢上面是簡體字的一個產品是那我現在要說的是這個網路詐騙冒名代言層出不窮下架的速度我認為趕不上下一頁為什麼我認為啊以前大家覺得
transcript.whisperx[9].start 196.051
transcript.whisperx[9].end 209.449
transcript.whisperx[9].text 來下一頁因為第一個我說我有報案警政署還有呢調查局我有報案那他們跟速發部之間的一個通報的下架速度可不可以更快這第一個我的問題第二個這個
transcript.whisperx[10].start 212.369
transcript.whisperx[10].end 232.024
transcript.whisperx[10].text 我的那個影片聽說還在網路上流傳這個我不知道怎麼可以徹底的清除掉我不知道這要問專業第二個我發現一個問題我如果是一般民眾我發現我被詐騙了我被冒名了那請問一下我到底是通報165還是通報這個數位發展部的網站通報查詢網
transcript.whisperx[11].start 237.968
transcript.whisperx[11].end 256.942
transcript.whisperx[11].text 這兩個是不一樣的喔不同的管道不同的功能但是對一般民眾來講是搞不清楚的所以我如果通報了165那到底你的網站的通報查詢網有沒有或者是我上網查了網站通報網那我165這邊我是不是要再重複再去通報
transcript.whisperx[12].start 258.154
transcript.whisperx[12].end 277.828
transcript.whisperx[12].text 是跟委員說明一下基本上我們跟內政部警政署的分工是這樣是說內政部警政署那個165的這個網站基本上是報案所謂報案就是說犯必須已經有犯罪事實了才他們才受理那我們這個速發部這個網站通話查詢網我們是處理所有可疑的網路的詐騙訊息
transcript.whisperx[13].start 278.649
transcript.whisperx[13].end 298.521
transcript.whisperx[13].text 所以如果那個委員這邊看到訪茂您的這個訊息趕快就把那個網址貼到我們這邊那我們這邊我們的目標就是要加快處理速度那我們通常是在24小時之內就可以可是部長這樣子不對啊這個就是我認為不合理或是不夠好的地方啊我今天通報了165
transcript.whisperx[14].start 299.802
transcript.whisperx[14].end 321.686
transcript.whisperx[14].text 那我事實上真的就是被冒名啊被冒名了之後也確實有人受到詐騙也好或者是買到他不該買的東西拿到的東西不是他預期的東西那165到底我通報了之後能不能馬上就立案你剛剛講的變成是要立案了之後才能夠做下面的承諾
transcript.whisperx[15].start 321.806
transcript.whisperx[15].end 342.522
transcript.whisperx[15].text 沒有沒有直接是先用我們的網站通報查詢網隨時手機拿出來隨時都可以報案就不用先去165那邊可是現在一般民眾會發生一個confuse的地方我到了你的網站通報網的時候我通報了我還是要另外再跟165通報因為你們兩個是不同的通報系統你們兩個通報系統的資訊是沒有對接的
transcript.whisperx[16].start 346.745
transcript.whisperx[16].end 360.701
transcript.whisperx[16].text 所謂的沒有對接呢它影響的是什麼我認為如果各部會的相關的通報網絡可以對接的話你們的大數據是可以互相的一個聯繫然後互相的比對那才能夠
transcript.whisperx[17].start 361.902
transcript.whisperx[17].end 385.633
transcript.whisperx[17].text 徹底的把這個網絡銜接起來不僅僅是我冒名賣那個所謂的東西啦或是被冒名啦去被詐騙啦或者是呢這個打廣告我是第一個嘛名人招盜用打廣告嘛那有的還有什麼假打工真詐騙啦販賣仿冒商品啦甚至愛情詐騙等等嘛對不對我是建議啦警政署今天也有來啦
transcript.whisperx[18].start 386.553
transcript.whisperx[18].end 395.436
transcript.whisperx[18].text 你速發部可不可以跟警政署把你們網站的通報查詢網跟165的通報資訊你們如何對接還有這一個大數據如何比對這個可以擴大防護網
transcript.whisperx[19].start 403.278
transcript.whisperx[19].end 427.905
transcript.whisperx[19].text 還有增加民眾的便利性跟保障權益能夠及時完全同意好不好沒有問題因為這個整個打造是由內政部的那個打造中心做協調指揮的那我們是有他們有就我們抒發部分配到的工作是這個那我們當然會跟內政部的做密切溝通那希望就是說跟我們也非常希望所有這些資訊都是串流在一起
transcript.whisperx[20].start 430.407
transcript.whisperx[20].end 445.661
transcript.whisperx[20].text 今天在講AI治理下一頁黃仁勳我想大家都知道世界經濟論壇裡面他說AI將成為最大的基礎建設他提出了一個五層蛋糕理論這個五層蛋糕論述我想
transcript.whisperx[21].start 448.603
transcript.whisperx[21].end 475.879
transcript.whisperx[21].text 大家都認為這個中央在AI的一個政策的一個大方向的一個推進那各部會統統都要努力包括今天有來的國科會跟數位發展部甚至在教育部我覺得這個AI教育各個層面都非常的重要那這個基礎建設我們就分門別類各部門要如何在這個國家的整體的這個AI的策略裡面大家各盡其職趕快佈建趕快做
transcript.whisperx[22].start 478.14
transcript.whisperx[22].end 507.414
transcript.whisperx[22].text 那最重要的蛋糕最上面的一層是應用應用將AI人力具體化體現於機器或特定的任務當中嘛這個就是台灣現在賴清的總統宣示我們是AI這個國家那卓院長AI行動內閣我們希望能做到的是台灣整體的各行各業各個產業甚至在民眾生活裡面都能夠AI化升級那當然在中間資安非常的重要安全非常的重要
transcript.whisperx[23].start 507.854
transcript.whisperx[23].end 527.175
transcript.whisperx[23].text 我之所以要問這個當然剛剛有很多委員在講投資算力的算力中心的問題你也回答到說有我們要怎麼樣的來鼓勵民間投資加上政府的加碼那AI的模型要在地化我們又如何的來在地化但是我要講的另外一個是在於
transcript.whisperx[24].start 527.816
transcript.whisperx[24].end 540.592
transcript.whisperx[24].text 台灣我們中央政府在世界的AI裡面占了這麼重大的地位中央在積極的佈建那地方政府也要合作嘛對不對是沒錯那地方政府也要努力也要積極嘛對不對請下一頁
transcript.whisperx[25].start 543.24
transcript.whisperx[25].end 558.254
transcript.whisperx[25].text 所以我認為台灣跟台中高雄台北不管是哪一個城市通通都應該在我們整體的AI的大架構下我們各司其職但是也競爭也合作
transcript.whisperx[26].start 559.235
transcript.whisperx[26].end 587.595
transcript.whisperx[26].text 我看到一個新聞陳其邁現在在美國高雄亞利桑那雄本簽約打造半導體的戰略三角他是城市競爭他也是城市合作因為呢利用台灣的優勢我們如何讓台灣的這個優勢在世界的高科技產業AI產業佔有重要的地位所以我認為一個觀念是我們是大腦也是身體因為為什麼我提這句話
transcript.whisperx[27].start 588.616
transcript.whisperx[27].end 605.923
transcript.whisperx[27].text 我昨天聽到有人說台中應該這樣講昨天有人這樣講我要還原啦先還原一下這個台北是AI大腦台中是打造AI身體然後說要怎麼樣合作
transcript.whisperx[28].start 606.721
transcript.whisperx[28].end 623.913
transcript.whisperx[28].text 我覺得城市之間大腦跟身體是主從之關係城市之間沒有主從之分啦城市之間是既競爭又合作啦我不認同他昨天講的那一句話啦我認為台中既是大腦也是
transcript.whisperx[29].start 626.175
transcript.whisperx[29].end 650.76
transcript.whisperx[29].text 打造身體在台中現在在優勢的一個精密的一個製造AI相關產業的製造能力裡面在這個基礎之上我台中也是AI的大腦啊我們要全力的來做跟中央一起合作能夠打造一個AI大腦AI身體
transcript.whisperx[30].start 652.011
transcript.whisperx[30].end 671.29
transcript.whisperx[30].text 我台中是一個完整的AI主體性的一個進步城市是這個才是我們台中的願景所以我今天要來跟部長是希望未來中央在有關AI產業的這一個部分
transcript.whisperx[31].start 671.85
transcript.whisperx[31].end 687.111
transcript.whisperx[31].text 希望能夠多多的看到台中支持台中那讓中央的資源我台中也希望跟中央合作我們能夠打造一個真正的一個台灣在世界AI產業的
transcript.whisperx[32].start 688.613
transcript.whisperx[32].end 710.425
transcript.whisperx[32].text 無可取代的地位,而台中在台灣也能夠成為那個無可取代的城市,可以嗎?是,沒有問題,如中委員所知道,我也來自於產業界,我也是台中人,我有很多軟體業的朋友,一些大佬們都是來自於台中,那我們都覺得說台中的氣候宜人,生活環境非常好,是一個非常適合軟體產業發展的地方。
transcript.whisperx[33].start 711.946
transcript.whisperx[33].end 736.878
transcript.whisperx[33].text 是啊因為台積電在台中也有投資啊台積電在台中現在的二廠土地問題也解決了啊而且預計要用最快的時間來生產高階的晶片啊那我們有硬體我們也有軟體的人才只是我們地方中央需要再合作再加碼投資讓我剛剛講的台中在台灣的這個AI的相關的高科技產業裡面我們能夠
transcript.whisperx[34].start 739.139
transcript.whisperx[34].end 742.722
transcript.whisperx[34].text 全力發展台中的AI軟硬題材業 好不好好 沒問題好 謝謝