iVOD / 160423

Field Value
IVOD_ID 160423
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160423
日期 2025-04-21
會議資料.會議代碼 委員會-11-3-36-9
會議資料.會議代碼:str 第11屆第3會期司法及法制委員會第9次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 9
會議資料.種類 委員會
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 第11屆第3會期司法及法制委員會第9次全體委員會議
影片種類 Clip
開始時間 2025-04-21T11:37:21+08:00
結束時間 2025-04-21T11:44:16+08:00
影片長度 00:06:55
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/16e1d9e54b37d4c8220bf232a112675ed5119736a8127fe72f7633afc40a593b474f7bb0d3e6380e5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鄭天財Sra Kacaw
委員發言時間 11:37:21 - 11:44:16
會議時間 2025-04-21T09:00:00+08:00
會議名稱 立法院第11屆第3會期司法及法制委員會第9次全體委員會議(事由:邀請司法院副秘書長、法務部部長、法務部調查局局長、法務部廉政署署長、國家安全會議、國防部、國家安全局、海洋委員會、內政部警政署、國防部憲兵指揮部、國防部資通電軍指揮部、海洋委員會海巡署率所屬相關單位列席就「軍事審判專庭(股)之執行現況,並就共諜滲透、機敏資訊洩漏等國安事件及忠誠安全查核機制,提出檢討報告及防制措施」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.28409375
transcript.pyannote[0].end 3.40596875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 11.48909375
transcript.pyannote[1].end 14.77971875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 14.93159375
transcript.pyannote[2].end 16.01159375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 17.26034375
transcript.pyannote[3].end 19.62284375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 19.89284375
transcript.pyannote[4].end 20.39909375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 26.55846875
transcript.pyannote[5].end 27.48659375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 27.65534375
transcript.pyannote[6].end 28.51596875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 29.93346875
transcript.pyannote[7].end 30.05159375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 31.33409375
transcript.pyannote[8].end 34.97909375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 36.27846875
transcript.pyannote[9].end 39.80534375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 40.48034375
transcript.pyannote[10].end 42.47159375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 44.47971875
transcript.pyannote[11].end 45.82971875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 48.24284375
transcript.pyannote[12].end 48.91784375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 49.45784375
transcript.pyannote[13].end 50.36909375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 50.74034375
transcript.pyannote[14].end 51.90471875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 52.79909375
transcript.pyannote[15].end 53.38971875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 54.01409375
transcript.pyannote[16].end 54.94221875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 55.83659375
transcript.pyannote[17].end 60.44346875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 61.27034375
transcript.pyannote[18].end 64.99971875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 65.38784375
transcript.pyannote[19].end 67.95284375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 70.06221875
transcript.pyannote[20].end 70.50096875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 71.47971875
transcript.pyannote[21].end 73.31909375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 74.16284375
transcript.pyannote[22].end 78.68534375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 79.61346875
transcript.pyannote[23].end 81.65534375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 81.97596875
transcript.pyannote[24].end 82.61721875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 83.39346875
transcript.pyannote[25].end 84.42284375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 84.65909375
transcript.pyannote[26].end 85.94159375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 86.44784375
transcript.pyannote[27].end 88.11846875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 88.27034375
transcript.pyannote[28].end 90.02534375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 91.03784375
transcript.pyannote[29].end 92.86034375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 93.78846875
transcript.pyannote[30].end 94.34534375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 94.46346875
transcript.pyannote[31].end 95.23971875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 96.28596875
transcript.pyannote[32].end 97.12971875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 97.73721875
transcript.pyannote[33].end 98.56409375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 99.39096875
transcript.pyannote[34].end 100.36971875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 101.80409375
transcript.pyannote[35].end 103.59284375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 104.94284375
transcript.pyannote[36].end 106.05659375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 106.71471875
transcript.pyannote[37].end 107.72721875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 108.53721875
transcript.pyannote[38].end 110.39346875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 111.13596875
transcript.pyannote[39].end 111.69284375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 113.39721875
transcript.pyannote[40].end 114.52784375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 115.62471875
transcript.pyannote[41].end 116.35034375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 117.27846875
transcript.pyannote[42].end 118.22346875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 120.04596875
transcript.pyannote[43].end 121.27784375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 121.95284375
transcript.pyannote[44].end 123.33659375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 123.84284375
transcript.pyannote[45].end 124.70346875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 127.97721875
transcript.pyannote[46].end 128.55096875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 129.02346875
transcript.pyannote[47].end 129.93471875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 130.44096875
transcript.pyannote[48].end 131.74034375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 133.10721875
transcript.pyannote[49].end 133.71471875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 134.15346875
transcript.pyannote[50].end 135.14909375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 136.53284375
transcript.pyannote[51].end 137.64659375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 138.99659375
transcript.pyannote[52].end 140.39721875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 141.73034375
transcript.pyannote[53].end 142.60784375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 143.48534375
transcript.pyannote[54].end 144.80159375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 145.69596875
transcript.pyannote[55].end 146.28659375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 146.79284375
transcript.pyannote[56].end 159.49971875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 161.01846875
transcript.pyannote[57].end 162.58784375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 163.81971875
transcript.pyannote[58].end 166.78971875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 167.86971875
transcript.pyannote[59].end 169.60784375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 170.70471875
transcript.pyannote[60].end 173.70846875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 173.70846875
transcript.pyannote[61].end 173.74221875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 174.13034375
transcript.pyannote[62].end 174.14721875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 174.14721875
transcript.pyannote[63].end 175.02471875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 175.02471875
transcript.pyannote[64].end 175.90221875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 176.96534375
transcript.pyannote[65].end 184.93034375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 185.35221875
transcript.pyannote[66].end 192.03471875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 189.60471875
transcript.pyannote[67].end 192.00096875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 193.06409375
transcript.pyannote[68].end 193.08096875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 193.08096875
transcript.pyannote[69].end 193.43534375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 196.10159375
transcript.pyannote[70].end 200.26971875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 201.04596875
transcript.pyannote[71].end 201.63659375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 202.07534375
transcript.pyannote[72].end 204.03284375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 204.94409375
transcript.pyannote[73].end 206.26034375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 206.66534375
transcript.pyannote[74].end 207.42471875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 208.92659375
transcript.pyannote[75].end 210.24284375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 211.71096875
transcript.pyannote[76].end 212.38596875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 213.34784375
transcript.pyannote[77].end 214.30971875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 214.79909375
transcript.pyannote[78].end 216.50346875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 216.85784375
transcript.pyannote[79].end 218.14034375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 219.28784375
transcript.pyannote[80].end 222.27471875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 223.05096875
transcript.pyannote[81].end 227.33721875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 227.77596875
transcript.pyannote[82].end 230.67846875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 231.42096875
transcript.pyannote[83].end 232.73721875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 232.92284375
transcript.pyannote[84].end 235.15034375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 236.41596875
transcript.pyannote[85].end 237.25971875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 237.90096875
transcript.pyannote[86].end 240.07784375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 240.53346875
transcript.pyannote[87].end 241.03971875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 241.07346875
transcript.pyannote[88].end 243.26721875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 243.73971875
transcript.pyannote[89].end 244.92096875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 246.35534375
transcript.pyannote[90].end 248.07659375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 249.57846875
transcript.pyannote[91].end 251.63721875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 252.02534375
transcript.pyannote[92].end 255.97409375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 257.07096875
transcript.pyannote[93].end 257.76284375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 258.37034375
transcript.pyannote[94].end 261.62721875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 262.80846875
transcript.pyannote[95].end 265.66034375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 267.26346875
transcript.pyannote[96].end 269.76096875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 270.57096875
transcript.pyannote[97].end 272.10659375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 273.03471875
transcript.pyannote[98].end 273.60846875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 273.89534375
transcript.pyannote[99].end 274.75596875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 275.51534375
transcript.pyannote[100].end 276.96659375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 277.43909375
transcript.pyannote[101].end 282.07971875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 283.00784375
transcript.pyannote[102].end 288.54284375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 288.96471875
transcript.pyannote[103].end 289.75784375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 290.28096875
transcript.pyannote[104].end 290.87159375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 292.99784375
transcript.pyannote[105].end 295.47846875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 296.17034375
transcript.pyannote[106].end 299.73096875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 300.30471875
transcript.pyannote[107].end 302.63346875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 303.74721875
transcript.pyannote[108].end 304.64159375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 306.24471875
transcript.pyannote[109].end 307.71284375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 308.43846875
transcript.pyannote[110].end 311.03721875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 311.99909375
transcript.pyannote[111].end 316.06596875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 316.20096875
transcript.pyannote[112].end 319.93034375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 321.87096875
transcript.pyannote[113].end 322.81596875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 323.74409375
transcript.pyannote[114].end 324.67221875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 325.06034375
transcript.pyannote[115].end 325.75221875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 326.19096875
transcript.pyannote[116].end 327.91221875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 328.57034375
transcript.pyannote[117].end 329.32971875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 330.24096875
transcript.pyannote[118].end 331.15221875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 332.11409375
transcript.pyannote[119].end 334.30784375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 335.33721875
transcript.pyannote[120].end 338.62784375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 339.45471875
transcript.pyannote[121].end 340.46721875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 341.31096875
transcript.pyannote[122].end 344.01096875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 344.85471875
transcript.pyannote[123].end 347.35221875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 348.04409375
transcript.pyannote[124].end 350.15346875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 351.68909375
transcript.pyannote[125].end 352.07721875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 352.43159375
transcript.pyannote[126].end 354.11909375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 354.43971875
transcript.pyannote[127].end 355.21596875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 355.87409375
transcript.pyannote[128].end 356.56596875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 357.19034375
transcript.pyannote[129].end 357.83159375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 358.20284375
transcript.pyannote[130].end 359.13096875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 361.34159375
transcript.pyannote[131].end 361.93221875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 363.28221875
transcript.pyannote[132].end 363.67034375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 364.26096875
transcript.pyannote[133].end 365.03721875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 366.37034375
transcript.pyannote[134].end 366.72471875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 369.28971875
transcript.pyannote[135].end 372.69846875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 371.19659375
transcript.pyannote[136].end 371.29784375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 371.34846875
transcript.pyannote[137].end 371.39909375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 373.49159375
transcript.pyannote[138].end 389.64096875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 378.09846875
transcript.pyannote[139].end 380.29221875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 380.29221875
transcript.pyannote[140].end 380.39346875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 381.06846875
transcript.pyannote[141].end 381.13596875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 381.13596875
transcript.pyannote[142].end 381.47346875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 388.79721875
transcript.pyannote[143].end 389.06721875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 389.82659375
transcript.pyannote[144].end 391.17659375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 389.84346875
transcript.pyannote[145].end 393.03284375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 393.64034375
transcript.pyannote[146].end 398.09534375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 398.31471875
transcript.pyannote[147].end 401.65596875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 401.94284375
transcript.pyannote[148].end 405.62159375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 406.33034375
transcript.pyannote[149].end 411.39284375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 411.57846875
transcript.pyannote[150].end 413.58659375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 412.15221875
transcript.pyannote[151].end 412.52346875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 413.95784375
transcript.pyannote[152].end 414.93659375
transcript.whisperx[0].start 0.609
transcript.whisperx[0].end 20.175
transcript.whisperx[0].text 請答完畢之後我們就處理臨時提案 謝謝主席 各位委員有請法務部部長麻煩部長還有調查局局長部長好 局長好
transcript.whisperx[1].start 31.367
transcript.whisperx[1].end 54.778
transcript.whisperx[1].text 我們看這個最近的這個共諜案這個我們總統辦公室的之一吳尚儀這個涉及共諜案然後這個吳釗燮他的前助理也就在外交部國安會他的助理
transcript.whisperx[2].start 55.908
transcript.whisperx[2].end 81.427
transcript.whisperx[2].text 姿意的身份都很高都是驚傲人員姿意久之等身份很高也是涉及到共諜當然除了這個之外還有其他的譬如說這個民進黨民主協議前副主任邱思演還有這個新北市議員李儀典
transcript.whisperx[3].start 83.547
transcript.whisperx[3].end 108.981
transcript.whisperx[3].text 當然還有我們其他的立委的曾經當過助理的都涉及到共諜案那這些共諜案我們就看這個無論是外交部或是國安會或是總統府這麼嚴重的案子沒有去搜索也沒有去搜索民進黨的辦公室
transcript.whisperx[4].start 113.782
transcript.whisperx[4].end 142.379
transcript.whisperx[4].text 沒有去搜索但是對我們看這個花蓮縣政府民政處的處長明良珍搜索花蓮縣政府而且還羈押這個明良珍處長花蓮地方法院三點裁定的理由檢察官
transcript.whisperx[5].start 143.527
transcript.whisperx[5].end 168.589
transcript.whisperx[5].text 的資料裡面顯示得認明良真犯違反個人資料保護法第44條41條之公務員假借植物上的機會非法利用個人資料罪嫌疑重大請問一下部長過去涉及個人資料保護法違反個資法的
transcript.whisperx[6].start 170.785
transcript.whisperx[6].end 189.836
transcript.whisperx[6].text 有哪些去搜索然後羈押的可以提出相關的案例嗎我這邊沒有我手上沒有這部分的一個資料那我想但是以這個這個個案來講這是檢察官有跟法院申請搜索法官有核准那個這個依法來自寫
transcript.whisperx[7].start 196.141
transcript.whisperx[7].end 217.731
transcript.whisperx[7].text 犯難不犯例,何況是共諜案,這麼嚴重啊這個個人資料保護法有嚴重到要收手然後還要羈押還要羈押寫得很明確啊,個人資料保護法好,我們就看條文
transcript.whisperx[8].start 219.452
transcript.whisperx[8].end 247.383
transcript.whisperx[8].text 個人資料保護法第41條剛才提的條文意圖為自己或第三人不法自立或損害他人自立而違反這些條文的規定這個五年以下有期徒刑我們看這個個人資料保護法第44條如果假借植物上的權利加重期刑個人資料保護法第16條
transcript.whisperx[9].start 249.602
transcript.whisperx[9].end 271.855
transcript.whisperx[9].text 公務機關對個人資料之利用除第六條第一項 第六條就是那個醫院的那個部分其他的有效的情形者得為特定目的外之利用法例明文規定公職人選舉辦法第七十六條本來就是要去查核
transcript.whisperx[10].start 273.078
transcript.whisperx[10].end 302.195
transcript.whisperx[10].text 公務 選委會選委會然後透過這個相關的這些負責人員本來就要去查對到底是不是是不是他本人是不是他有個資的這個資料對不對本來就要去查對選舉委員會說到罷免案對提議人就要去查這個身份資料到底對不對這是法律的義務法律的義務
transcript.whisperx[11].start 303.783
transcript.whisperx[11].end 328.645
transcript.whisperx[11].text 更重要的大家比較妙氣注意的公職聯選舉罷免法第77條現役軍人服替待役之現役役男或郭烏樂園不得為罷免案的提人光看這個戶籍資料早期我們的戶籍資料會有這個職業欄現在的戶籍
transcript.whisperx[12].start 332.342
transcript.whisperx[12].end 359.1
transcript.whisperx[12].text 戶籍法規定不用有職業欄了沒有職業欄了那他是不是先運軍人要去查核啊他是不是替代役要查核啊他是不是公務人員要查核啊他是依法去查核結果被稱為查水表然後然後要鬆手是要羈押部長
transcript.whisperx[13].start 363.325
transcript.whisperx[13].end 372.53
transcript.whisperx[13].text 局長 調查局局長 怎麼樣本來就要去查 去問他因為我父親知道看不出來啊
transcript.whisperx[14].start 374.345
transcript.whisperx[14].end 390.578
transcript.whisperx[14].text 謝謝委員我想那個個案的偵查的內容我無法在這邊說明不過也謝謝委員剛才有提到就個資法裡面是五年以下有期徒刑而且公務人員還有加重二分之一的刑責對所以我想也謝謝委員提醒這個部分的法條的規定這個要請法務部
transcript.whisperx[15].start 394.458
transcript.whisperx[15].end 414.038
transcript.whisperx[15].text 這個你說當然你一定回答說這個個案不便回答但是法律的規定最起碼有責任有義務讓所有的地檢署能夠了解所有的代法局能夠了解相關的法規好不好有 我們現在就是依這個法在執行好 謝謝 謝謝