iVOD / 154557

Field Value
IVOD_ID 154557
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/154557
日期 2024-07-08
會議資料.會議代碼 公聽會-2024070333
會議資料.會議代碼:str 「揭弊者保護法草案之基礎架構差異與利弊影響」公聽會
會議資料.屆 11
會議資料.會期 1
會議資料.種類 公聽會
會議資料.委員會代碼[0] 36
會議資料.委員會代碼:str[0] 司法及法制委員會
會議資料.標題 立法院第11屆第1會期司法及法制委員會公聽會(事由:「揭弊者保護法草案之基礎架構差異與利弊影響」公聽會)
影片種類 Clip
開始時間 2024-07-08T09:44:56+08:00
結束時間 2024-07-08T09:54:45+08:00
影片長度 00:09:49
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/80b8605eb635256a48c57c7f28567ce5528e157563c83e5d4ff7eb5b876a53c529ef337da9650dc45ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 09:44:56 - 09:54:45
會議時間 2024-07-08T09:00:00+08:00
會議名稱 立法院第11屆第1會期司法及法制委員會公聽會(事由:「揭弊者保護法草案之基礎架構差異與利弊影響」公聽會)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 8.55284375
transcript.pyannote[0].end 17.15909375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 17.68221875
transcript.pyannote[1].end 20.23034375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 20.70284375
transcript.pyannote[2].end 26.13659375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 26.33909375
transcript.pyannote[3].end 27.14909375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 27.46971875
transcript.pyannote[4].end 28.65096875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 29.10659375
transcript.pyannote[5].end 48.51284375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 49.10346875
transcript.pyannote[6].end 50.01471875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 50.87534375
transcript.pyannote[7].end 56.51159375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 56.98409375
transcript.pyannote[8].end 80.62596875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 80.98034375
transcript.pyannote[9].end 82.09409375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 82.43159375
transcript.pyannote[10].end 83.81534375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 84.47346875
transcript.pyannote[11].end 106.02284375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 106.37721875
transcript.pyannote[12].end 117.44721875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 117.58221875
transcript.pyannote[13].end 120.85596875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 121.04159375
transcript.pyannote[14].end 122.34096875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 122.79659375
transcript.pyannote[15].end 127.45409375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 128.23034375
transcript.pyannote[16].end 130.60971875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 131.14971875
transcript.pyannote[17].end 132.02721875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 132.16221875
transcript.pyannote[18].end 133.95096875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 134.50784375
transcript.pyannote[19].end 135.52034375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 136.02659375
transcript.pyannote[20].end 147.19784375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 147.28221875
transcript.pyannote[21].end 149.34096875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 149.83034375
transcript.pyannote[22].end 152.29409375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 152.83409375
transcript.pyannote[23].end 156.74909375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 157.47471875
transcript.pyannote[24].end 159.39846875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 159.60096875
transcript.pyannote[25].end 162.75659375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 163.36409375
transcript.pyannote[26].end 165.15284375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 165.97971875
transcript.pyannote[27].end 166.77284375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 167.49846875
transcript.pyannote[28].end 170.29971875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 170.41784375
transcript.pyannote[29].end 172.12221875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 172.62846875
transcript.pyannote[30].end 174.72096875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 175.91909375
transcript.pyannote[31].end 176.40846875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 177.16784375
transcript.pyannote[32].end 179.86784375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 179.96909375
transcript.pyannote[33].end 183.10784375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 183.79971875
transcript.pyannote[34].end 189.89159375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 190.09409375
transcript.pyannote[35].end 194.70096875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 194.83596875
transcript.pyannote[36].end 196.32096875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 197.45159375
transcript.pyannote[37].end 200.37096875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 200.94471875
transcript.pyannote[38].end 204.03284375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 204.28596875
transcript.pyannote[39].end 208.40346875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 208.82534375
transcript.pyannote[40].end 213.12846875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 213.71909375
transcript.pyannote[41].end 216.52034375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 216.73971875
transcript.pyannote[42].end 234.34034375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 234.77909375
transcript.pyannote[43].end 240.07784375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 240.83721875
transcript.pyannote[44].end 244.06034375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 246.11909375
transcript.pyannote[45].end 247.53659375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 249.24096875
transcript.pyannote[46].end 250.21971875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 250.45596875
transcript.pyannote[47].end 251.28284375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 252.04221875
transcript.pyannote[48].end 253.96596875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 254.75909375
transcript.pyannote[49].end 258.75846875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 260.04096875
transcript.pyannote[50].end 262.36971875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 262.89284375
transcript.pyannote[51].end 265.47471875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 266.92596875
transcript.pyannote[52].end 268.02284375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 268.66409375
transcript.pyannote[53].end 270.14909375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 270.36846875
transcript.pyannote[54].end 271.68471875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 272.25846875
transcript.pyannote[55].end 275.48159375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 276.35909375
transcript.pyannote[56].end 286.29846875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 286.65284375
transcript.pyannote[57].end 290.71971875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 290.95596875
transcript.pyannote[58].end 292.77846875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 293.68971875
transcript.pyannote[59].end 295.69784375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 296.60909375
transcript.pyannote[60].end 297.68909375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 298.36409375
transcript.pyannote[61].end 299.47784375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 300.33846875
transcript.pyannote[62].end 302.02596875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 302.53221875
transcript.pyannote[63].end 305.26596875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 305.75534375
transcript.pyannote[64].end 306.49784375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 307.64534375
transcript.pyannote[65].end 308.40471875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 309.40034375
transcript.pyannote[66].end 310.10909375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 311.08784375
transcript.pyannote[67].end 312.26909375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 313.19721875
transcript.pyannote[68].end 315.72846875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 317.12909375
transcript.pyannote[69].end 317.87159375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 319.13721875
transcript.pyannote[70].end 319.94721875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 320.60534375
transcript.pyannote[71].end 321.60096875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 322.78221875
transcript.pyannote[72].end 325.00971875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 325.56659375
transcript.pyannote[73].end 327.43971875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 327.70971875
transcript.pyannote[74].end 329.34659375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 329.48159375
transcript.pyannote[75].end 331.35471875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 332.51909375
transcript.pyannote[76].end 333.93659375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 334.78034375
transcript.pyannote[77].end 336.11346875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 336.56909375
transcript.pyannote[78].end 338.81346875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 339.62346875
transcript.pyannote[79].end 340.58534375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 341.24346875
transcript.pyannote[80].end 342.25596875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 342.81284375
transcript.pyannote[81].end 344.70284375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 345.19221875
transcript.pyannote[82].end 346.82909375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 347.60534375
transcript.pyannote[83].end 349.41096875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 350.17034375
transcript.pyannote[84].end 351.06471875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 352.02659375
transcript.pyannote[85].end 354.92909375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 356.51534375
transcript.pyannote[86].end 360.75096875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 362.72534375
transcript.pyannote[87].end 364.21034375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 364.31159375
transcript.pyannote[88].end 386.63721875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 387.12659375
transcript.pyannote[89].end 389.20221875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 389.59034375
transcript.pyannote[90].end 392.89784375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 393.97784375
transcript.pyannote[91].end 394.99034375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 395.86784375
transcript.pyannote[92].end 396.79596875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 397.30221875
transcript.pyannote[93].end 398.53409375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 399.17534375
transcript.pyannote[94].end 400.37346875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 400.82909375
transcript.pyannote[95].end 408.42284375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 408.67596875
transcript.pyannote[96].end 410.14409375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 411.20721875
transcript.pyannote[97].end 415.81409375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 416.20221875
transcript.pyannote[98].end 423.37409375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 424.35284375
transcript.pyannote[99].end 427.94721875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 429.22971875
transcript.pyannote[100].end 431.42346875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 431.59221875
transcript.pyannote[101].end 432.82409375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 434.17409375
transcript.pyannote[102].end 436.24971875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 436.68846875
transcript.pyannote[103].end 438.22409375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 439.06784375
transcript.pyannote[104].end 440.40096875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 441.59909375
transcript.pyannote[105].end 441.97034375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 442.47659375
transcript.pyannote[106].end 443.57346875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 444.48471875
transcript.pyannote[107].end 446.13846875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 446.96534375
transcript.pyannote[108].end 448.48409375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 449.02409375
transcript.pyannote[109].end 450.35721875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 451.01534375
transcript.pyannote[110].end 464.02596875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 464.51534375
transcript.pyannote[111].end 466.03409375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 466.59096875
transcript.pyannote[112].end 467.55284375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 468.16034375
transcript.pyannote[113].end 469.08846875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 470.13471875
transcript.pyannote[114].end 470.87721875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 471.94034375
transcript.pyannote[115].end 472.68284375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 474.75846875
transcript.pyannote[116].end 476.05784375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 477.10409375
transcript.pyannote[117].end 478.63971875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 479.31471875
transcript.pyannote[118].end 481.12034375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 482.79096875
transcript.pyannote[119].end 486.40221875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 486.58784375
transcript.pyannote[120].end 487.17846875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 487.98846875
transcript.pyannote[121].end 488.89971875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 489.97971875
transcript.pyannote[122].end 491.12721875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 491.85284375
transcript.pyannote[123].end 493.48971875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 496.03784375
transcript.pyannote[124].end 496.78034375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 496.99971875
transcript.pyannote[125].end 499.07534375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 499.66596875
transcript.pyannote[126].end 500.34096875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 503.54721875
transcript.pyannote[127].end 504.45846875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 505.40346875
transcript.pyannote[128].end 507.19221875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 509.84159375
transcript.pyannote[129].end 511.69784375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 513.57096875
transcript.pyannote[130].end 516.49034375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 517.55346875
transcript.pyannote[131].end 518.65034375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 519.20721875
transcript.pyannote[132].end 520.37159375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 520.70909375
transcript.pyannote[133].end 524.99534375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 525.43409375
transcript.pyannote[134].end 528.87659375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 529.39971875
transcript.pyannote[135].end 534.76596875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 535.44096875
transcript.pyannote[136].end 536.33534375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 537.56721875
transcript.pyannote[137].end 539.15346875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 539.99721875
transcript.pyannote[138].end 541.43159375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 542.93346875
transcript.pyannote[139].end 544.48596875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 544.97534375
transcript.pyannote[140].end 547.28721875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 547.77659375
transcript.pyannote[141].end 553.81784375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 554.00346875
transcript.pyannote[142].end 556.93971875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 557.26034375
transcript.pyannote[143].end 560.26409375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 560.90534375
transcript.pyannote[144].end 562.39034375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 562.57596875
transcript.pyannote[145].end 563.84159375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 564.09471875
transcript.pyannote[146].end 578.30346875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 578.52284375
transcript.pyannote[147].end 586.30221875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 587.16284375
transcript.pyannote[148].end 588.42846875
transcript.whisperx[0].start 8.804
transcript.whisperx[0].end 35.82
transcript.whisperx[0].text 非常感謝主席今天非常謝謝這麼多的專家學者針對《吹哨者保護法》提供我們非常多寶貴的建議在這邊作為司法法制委員會的議員我要向所有出席這一場公聽會的專家學者表達我個人非常誠摯的建議各位所發表的高見有的時候我們雖然比較忙在各個委員會跑沒有辦法坐在這邊全程聽完但一定會成為我們接下來修法的時候
transcript.whisperx[1].start 36.48
transcript.whisperx[1].end 55.659
transcript.whisperx[1].text 非常重要的參考依據我自己對於《摧要者保護法》的觀察是包括了很多學者或者是專家所提出來的公司部門到底要不要合併那如果洩密行為本身構成不法行為的時候在什麼要件下在什麼程度範圍內
transcript.whisperx[2].start 57.342
transcript.whisperx[2].end 80.172
transcript.whisperx[2].text 應該要免除他的法律責任我相信這些問題其實在台灣一點都不新穎討論超過10年以上討論超過10年以上因為我2016年到2020年那個時候在立法院服務的時候我也推動了吹哨者保護法那時候其實已經完成了委員會的審查但我們現在已經是2024年了2024年過去這十幾年
transcript.whisperx[3].start 84.594
transcript.whisperx[3].end 105.563
transcript.whisperx[3].text 相關的問題包括公司部門要合併還是要分流對於有一些企業內部不法的行為在什麼要件下我們應該可以保護在什麼樣的要件下應該要予以處罰如同我剛剛跟大家所報告的其實國內的文獻非常的多
transcript.whisperx[4].start 106.463
transcript.whisperx[4].end 127.162
transcript.whisperx[4].text 我們2016到2020在委員會討論的時候那個時候法務部還有提版本出來是按照法務部的版本在審那是公司部門合併所有的疑問法務部那時候都回應但問題是什麼台灣為什麼吹哨者保護法推到今天我們還在原地踏步
transcript.whisperx[5].start 128.294
transcript.whisperx[5].end 155.443
transcript.whisperx[5].text 是主政者的決心不足還是在阻擋這個法案的大監控背後的利益團體政治上面拉比的力量太強了這兩個因素我自己都功逢其勝全部都遭遇過因為有大監控啊是花好幾千萬的預算啊在買媒體啊買宣傳啊在拉比啊不要推動吹哨子的保護法為什麼
transcript.whisperx[6].start 157.523
transcript.whisperx[6].end 174.331
transcript.whisperx[6].text 有人出來揭弊的時候有人出來揭弊的時候把這些弊案攤在陽光下的時候本來住豪宅坐豪車的大金控的老闆就有可能被羈押嘛就有可能被訴追犯罪嘛這個所以我們私改會議總結報告2017年8月12號有結論了
transcript.whisperx[7].start 183.854
transcript.whisperx[7].end 191.342
transcript.whisperx[7].text 到現在崔少哲保護法跟大家報告跳票2523天2523天2523天是什麼概念大家可以一起想一想台灣還有多少時間可以這樣蹉跎下去
transcript.whisperx[8].start 201.004
transcript.whisperx[8].end 214.728
transcript.whisperx[8].text 我們還要讓勇於出來吹哨的人遭受到迫害遭受到追殺到什麼時候這個是立法院要非常嚴肅面對的問題啊真的要非常嚴肅面對的問題啊
transcript.whisperx[9].start 216.869
transcript.whisperx[9].end 234.113
transcript.whisperx[9].text 不要為了保護少數的大金庫的老闆讓一堆需要被保護的吹哨人沒有辦法得到正常的保護我們首次反貪腐國家公約的報告說要制定公司部門揭弊者保護機制這個報告是2018年這是我國將反貪腐公約國內法化了以後我們所負的國家義務我們所負的國家義務2018年講到現在
transcript.whisperx[10].start 246.795
transcript.whisperx[10].end 275.197
transcript.whisperx[10].text 國際審查委員建議我們要立法處理揭弊者保護第二次國家報告的時候說要公私部門合併我們的政府的態度是變來變去一會要分開一會要合在一起然後結果呢國際審查委員指責立法院要立法院優先審議揭弊者保護法
transcript.whisperx[11].start 276.414
transcript.whisperx[11].end 304.942
transcript.whisperx[11].text 但我們的反貪腐國家公約包括那個國家報告本身包括找國際審查委員來審查本身花了納稅人不少錢啊花了納稅人這麼多錢結果最後的結果是什麼最後的結果就是沒有結果花納稅人的錢大拜拜搞得很熱鬧發新聞稿國際審查委員來也告訴了我們國家該做的什麼事情
transcript.whisperx[12].start 305.851
transcript.whisperx[12].end 331.283
transcript.whisperx[12].text 有做嗎有做嗎做在哪裡做到今天啊揭弊者保護法草案我們的行政院啊到底在哪裡到底在哪裡還要拖多久然後結果最近一次又轉彎了一開始是要公私分開後來要公私合併現在又要公私分開光這個基礎的問題
transcript.whisperx[13].start 334.827
transcript.whisperx[13].end 348.995
transcript.whisperx[13].text 光這個基礎的問題現在成為什麼 拖延的藉口拖延的藉口每次問到永遠都在演繹我只問一個最簡單的問題跳票2500多天了還不夠久嗎台灣還有多少個2500多天被迫害的吹哨者還有多少個2500多天
transcript.whisperx[14].start 362.899
transcript.whisperx[14].end 386.11
transcript.whisperx[14].text 這不是法律設計要怎麼設計的問題我報告過了我們的學者專家我們律師界的先進我們的法官都很認真過去這十幾年來累積的論述漢牛衝動相關可以研議的資料非常非常的多甚至2016到2020年那一屆我們的法務部還有自己提草案出來
transcript.whisperx[15].start 387.31
transcript.whisperx[15].end 409.779
transcript.whisperx[15].text 結果到現在2024年我們的法務部我們的行政院草案在哪裡不見蹤影每一次問永遠就在拖永遠都在混社會上有很多不同的意見我們會持續的研議持續的探討持續的研議持續的探討我不希望下一次
transcript.whisperx[16].start 411.24
transcript.whisperx[16].end 440.235
transcript.whisperx[16].text 立法院的司法法制委員會繼續在討論這個問題的時候是10年以後10年以後我們依然在研議依然在探討到底要是公私合併還是要公私分開吹哨者被迫害的人在角落裡面哭泣前我大財團大金控的老闆在那邊笑哈哈我簡單舉個最簡單的例子就好了我前一陣子揭發了我前一陣子揭發了
transcript.whisperx[17].start 441.636
transcript.whisperx[17].end 470.674
transcript.whisperx[17].text 我們上市公司還是我們綠能國家隊拿納稅的30億結果幹什麼事情在我們的軍事要塞裡面放了會危害國家安全會危害國家安全不是我說的我們國安局說的會危害國家安全的中國支通訊產品我為什麼會知道這件事有人檢舉嘛有人吹哨嘛他不吹哨
transcript.whisperx[18].start 471.977
transcript.whisperx[18].end 493.853
transcript.whisperx[18].text 他不吹哨社會怎麼知道這件事大家怎麼知道這件事情我們在設計這個機制的時候要在這一個上市公司裡面的人他們如何自處第一個跟老闆報告老闆你這樣做不對老闆說你明天回家吃自己這個是我們絕大多數人在職場的經驗第二個
transcript.whisperx[19].start 503.564
transcript.whisperx[19].end 507.006
transcript.whisperx[19].text 第二個他要怎麼做跟主管機關具名前取公司很快就知道這個人是誰知道了又怎麼樣他被追殺了又怎麼樣
transcript.whisperx[20].start 517.608
transcript.whisperx[20].end 541.193
transcript.whisperx[20].text 我們這個社會我們這個社會到底要他如何自處總要給他一個行為準則嘛什麼時候你可以揭弊什麼時候你不可以揭弊什麼時候你揭弊會被保護什麼時候你揭弊會用泄密罪來追溯你當然不是全部都保護啊但我們也不可以放任
transcript.whisperx[21].start 543.144
transcript.whisperx[21].end 559.386
transcript.whisperx[21].text 這些人永遠被追殺那這正是需要揭弊者保護法把法律要件講清楚把法律效果講清楚這個是我覺得我們這一屆國會責無旁貸的任務一定要完成那我也利用這個機會非常感謝昭偉
transcript.whisperx[22].start 560.968
transcript.whisperx[22].end 561.128
transcript.whisperx[22].text 謝謝國常委員