iVOD / 162622

Field Value
IVOD_ID 162622
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/162622
日期 2025-06-18
會議資料.會議代碼 委員會-11-3-23-16
會議資料.會議代碼:str 第11屆第3會期交通委員會第16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 16
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3會期交通委員會第16次全體委員會議
影片種類 Clip
開始時間 2025-06-18T11:44:28+08:00
結束時間 2025-06-18T11:51:29+08:00
影片長度 00:07:01
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5617cf280bc2552a6241197c249808d4435a35cf529d0c6c4c29659fdfe1d1e82b28ef56e30c94685ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鍾佳濱
委員發言時間 11:44:28 - 11:51:29
會議時間 2025-06-18T09:00:00+08:00
會議名稱 立法院第11屆第3會期交通委員會第16次全體委員會議(事由:邀請數位發展部部長黃彥男就「推動AI之產業發展政策」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 3.13596875
transcript.pyannote[0].end 13.29471875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 17.78346875
transcript.pyannote[1].end 25.14096875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 17.93534375
transcript.pyannote[2].end 18.59346875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 25.29284375
transcript.pyannote[3].end 25.66409375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 25.73159375
transcript.pyannote[4].end 26.40659375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 27.03096875
transcript.pyannote[5].end 28.46534375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 28.93784375
transcript.pyannote[6].end 35.38409375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 35.97471875
transcript.pyannote[7].end 47.71971875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 48.90096875
transcript.pyannote[8].end 56.66346875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 56.66346875
transcript.pyannote[9].end 56.69721875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 56.69721875
transcript.pyannote[10].end 57.60846875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 56.88284375
transcript.pyannote[11].end 73.75784375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 58.94159375
transcript.pyannote[12].end 59.12721875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 66.41721875
transcript.pyannote[13].end 67.05846875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 74.14596875
transcript.pyannote[14].end 81.35159375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 82.02659375
transcript.pyannote[15].end 83.37659375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 83.37659375
transcript.pyannote[16].end 83.69721875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 83.69721875
transcript.pyannote[17].end 93.75471875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 94.09221875
transcript.pyannote[18].end 95.93159375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 96.35346875
transcript.pyannote[19].end 97.23096875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 97.60221875
transcript.pyannote[20].end 105.73596875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 105.73596875
transcript.pyannote[21].end 114.61221875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 114.79784375
transcript.pyannote[22].end 130.15409375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 130.42409375
transcript.pyannote[23].end 132.78659375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 133.39409375
transcript.pyannote[24].end 134.89596875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 136.00971875
transcript.pyannote[25].end 143.08034375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 143.68784375
transcript.pyannote[26].end 145.00409375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 145.94909375
transcript.pyannote[27].end 147.68721875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 147.68721875
transcript.pyannote[28].end 149.74596875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 150.04971875
transcript.pyannote[29].end 151.18034375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 151.43346875
transcript.pyannote[30].end 161.52471875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 161.52471875
transcript.pyannote[31].end 177.80909375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 161.69346875
transcript.pyannote[32].end 162.25034375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 163.60034375
transcript.pyannote[33].end 165.16971875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 178.23096875
transcript.pyannote[34].end 180.27284375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 180.37409375
transcript.pyannote[35].end 183.47909375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 184.50846875
transcript.pyannote[36].end 187.00596875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 187.56284375
transcript.pyannote[37].end 187.81596875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 188.47409375
transcript.pyannote[38].end 195.46034375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 195.76409375
transcript.pyannote[39].end 197.97471875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 198.34596875
transcript.pyannote[40].end 199.83096875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 200.47221875
transcript.pyannote[41].end 212.33534375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 213.01034375
transcript.pyannote[42].end 214.32659375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 214.15784375
transcript.pyannote[43].end 216.84096875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 217.29659375
transcript.pyannote[44].end 218.47784375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 219.23721875
transcript.pyannote[45].end 222.44346875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 222.64596875
transcript.pyannote[46].end 227.03346875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 227.42159375
transcript.pyannote[47].end 228.45096875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 231.55596875
transcript.pyannote[48].end 232.88909375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 233.53034375
transcript.pyannote[49].end 234.61034375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 235.13346875
transcript.pyannote[50].end 236.56784375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 236.93909375
transcript.pyannote[51].end 240.55034375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 240.98909375
transcript.pyannote[52].end 242.60909375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 243.14909375
transcript.pyannote[53].end 245.27534375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 245.46096875
transcript.pyannote[54].end 247.51971875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 248.09346875
transcript.pyannote[55].end 249.35909375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 250.52346875
transcript.pyannote[56].end 252.37971875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 252.64971875
transcript.pyannote[57].end 254.42159375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 255.46784375
transcript.pyannote[58].end 255.48471875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 255.48471875
transcript.pyannote[59].end 275.12721875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 269.22096875
transcript.pyannote[60].end 269.99721875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 270.21659375
transcript.pyannote[61].end 270.82409375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 275.34659375
transcript.pyannote[62].end 279.97034375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 282.31596875
transcript.pyannote[63].end 286.04534375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 284.86409375
transcript.pyannote[64].end 285.65721875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 286.04534375
transcript.pyannote[65].end 286.21409375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 286.21409375
transcript.pyannote[66].end 286.24784375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 286.24784375
transcript.pyannote[67].end 287.00721875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 287.00721875
transcript.pyannote[68].end 291.52971875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 289.30221875
transcript.pyannote[69].end 290.58471875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 291.69846875
transcript.pyannote[70].end 293.90909375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 294.92159375
transcript.pyannote[71].end 299.91659375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 300.18659375
transcript.pyannote[72].end 302.66721875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 303.13971875
transcript.pyannote[73].end 305.14784375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 305.58659375
transcript.pyannote[74].end 310.32846875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 311.40846875
transcript.pyannote[75].end 312.40409375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 312.40409375
transcript.pyannote[76].end 313.29846875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 313.97346875
transcript.pyannote[77].end 314.26034375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 314.78346875
transcript.pyannote[78].end 323.60909375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 324.09846875
transcript.pyannote[79].end 326.24159375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 329.39721875
transcript.pyannote[80].end 330.35909375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 330.67971875
transcript.pyannote[81].end 334.30784375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 334.64534375
transcript.pyannote[82].end 339.67409375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 336.24846875
transcript.pyannote[83].end 336.60284375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 340.16346875
transcript.pyannote[84].end 345.10784375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 345.46221875
transcript.pyannote[85].end 349.84971875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 350.27159375
transcript.pyannote[86].end 351.08159375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 351.50346875
transcript.pyannote[87].end 355.72221875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 357.10596875
transcript.pyannote[88].end 358.57409375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 358.15221875
transcript.pyannote[89].end 358.59096875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 358.59096875
transcript.pyannote[90].end 369.93096875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 363.68721875
transcript.pyannote[91].end 364.58159375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 365.88096875
transcript.pyannote[92].end 366.20159375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 369.93096875
transcript.pyannote[93].end 371.78721875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 371.78721875
transcript.pyannote[94].end 373.55909375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 373.55909375
transcript.pyannote[95].end 380.46096875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 375.41534375
transcript.pyannote[96].end 376.10721875
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 380.59596875
transcript.pyannote[97].end 381.59159375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 382.11471875
transcript.pyannote[98].end 388.03784375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 388.03784375
transcript.pyannote[99].end 388.74659375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 388.74659375
transcript.pyannote[100].end 393.25221875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 393.40409375
transcript.pyannote[101].end 394.33221875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 394.66971875
transcript.pyannote[102].end 395.17596875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 395.17596875
transcript.pyannote[103].end 396.67784375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 397.84221875
transcript.pyannote[104].end 398.63534375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 398.90534375
transcript.pyannote[105].end 399.91784375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 400.66034375
transcript.pyannote[106].end 405.70596875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 406.12784375
transcript.pyannote[107].end 419.52659375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 419.12159375
transcript.pyannote[108].end 420.97784375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 419.91471875
transcript.pyannote[109].end 420.92721875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 420.94409375
transcript.pyannote[110].end 420.97784375
transcript.whisperx[0].start 3.257
transcript.whisperx[0].end 12.965
transcript.whisperx[0].text 主席在場原先列席了政局院首長官員會長公眾夥伴媒體記者女士先生那麼有請部長請部長主席你叫了我很快速度加速不好意思
transcript.whisperx[1].start 18.671
transcript.whisperx[1].end 47.57
transcript.whisperx[1].text 來 部長好 你不用急來 你看看最近有沒有這兩個月有人用吉卜力風格的在傳貼圖有沒有看到 有沒有看過這個呢吉卜力在日本他們的一些著作一些創作人他們抗議說你把這個吉卜力畫風可以不受著作權保護嗎結果日本政府說的確他認為他們的著作權是單純的創意或風格本身不受著作權保護請問部長為什麼日本政府要將AI生成圖獻出他的著作權保護呢
transcript.whisperx[2].start 49.33
transcript.whisperx[2].end 73.275
transcript.whisperx[2].text 這個委員提這個確實是一個問題這個就是各國的法律因為這個確實在AI的訓練裡面這個他們需要塗料庫嘛對不對他需要更多的塗料庫如果這些AI生成公司都把錢花在取得著作權的這些塗料上面那他們就沒有餘力去買超級電腦運算對不對好那我們來看一下所以呢我們像AI新十大建設有提到AI主權AI
transcript.whisperx[3].start 74.275
transcript.whisperx[3].end 96.79
transcript.whisperx[3].text 速發部說主權AI訓練語料庫對不對所以速發部目前在幫忙打造這樣的一個AI的訓練語料庫嘛對所以你們是不是也認同或者說覺得日本的做法的確有它的必要性我們要發展AI主權AI我們也事實上呢對於這些語料庫的建立訓練語料庫的建立也要國家來投資
transcript.whisperx[4].start 97.911
transcript.whisperx[4].end 123.2
transcript.whisperx[4].text 對 我們上次蘇發部就是我們那個資料創新司司長就是在負責推動這一塊好 很好 那我們往下看但是相對的我們除了這些之外呢也提到了我們的預告的這個利用發展促進條例當中也得到公務員我們也避免他除非是重大過失我們也不希望他因為要去承辦這個業務而侵犯到包括著作權等其他的這個爭議是不是這樣對
transcript.whisperx[5].start 124.52
transcript.whisperx[5].end 144.348
transcript.whisperx[5].text 好 但是但是我們要另外一面平衡往下看但是呢關於想下一頁我們的個資保護啊其實呢健保法當中呢個人可以請求停止使用但是我們的條例預告當中呢我們是採取促進個人在的保護措施或機制民眾可以請求停止嗎這個 來這裡說明一下我們在進語料資料庫的時候訓練資料庫的時候
transcript.whisperx[6].start 152.122
transcript.whisperx[6].end 177.414
transcript.whisperx[6].text 跟委員報告我們在這個促進資料創新利用發展條例裡面的這個前應該是第四條就有規定是說在資料創新的過程當中仍然要符合各自保護所以也要符合爆發健保法的規定對要有各自保護謝謝那部長今天我想我們再說明一下我們國家要發展這個主權AI要生成是AI我們有很多的法令法制度要建立其他國家我們也可以參考往下看但是另外我要談另外一個就是打詐
transcript.whisperx[7].start 178.454
transcript.whisperx[7].end 199.529
transcript.whisperx[7].text 經常我每次來請教你都跟打造有關目前我們有一個第三方支付的量能登錄制度部長你認為這個量能登記制度還有效嗎那個當然有精進的空間啦不過目前在管理上是有它的效果那有沒有制定出相關的監管法規呢目前只有登錄制度喔監管法規有沒有監管法規來說明一下
transcript.whisperx[8].start 200.475
transcript.whisperx[8].end 228.298
transcript.whisperx[8].text 我們洗房法向下有好幾個執法所以我們有根據洗房法上面去定對所以你們都是根據洗房法來來做控制但是沒有自己訂立一個監管法規有沒有就是洗房法嘛就用洗房法而已嘛好我們看一下那洗房法什麼問題但是你來看一下第三方之戶有一個公司洗錢50億啊他是大規模的惡性的倒閉但是呢我們我們來看一下監管會裁罰多少
transcript.whisperx[9].start 231.587
transcript.whisperx[9].end 254.219
transcript.whisperx[9].text 金管會裁罰多少 這個案例金管會裁罰來 我要告訴你我來自財政委員會金管會對於這些裁罰都會在當日後就公佈那現在你看我現在問你也不知道 我也不知道啊到底裁罰了沒有 裁罰多少 知不知道裁罰了 但是裁罰多少30萬30萬 待會我有問到的啦但是有沒有公佈 沒有
transcript.whisperx[10].start 255.563
transcript.whisperx[10].end 279.808
transcript.whisperx[10].text 有公佈嗎 你們有沒有一個明白的公佈說明辦法讓我們外界社會可以理解到這些涉及到詐騙的 他有被你們裁罰部長 是不是你們要加強這個部分我們有在媒體群組公佈 我的意思是說你們什麼時候公佈 其實是你們的行政裁量但是如果你們定出了一個辦法 民眾就可以知道說我們可以定時的去看你們有沒有依法裁法 是不是這樣子
transcript.whisperx[11].start 282.669
transcript.whisperx[11].end 309.415
transcript.whisperx[11].text 部長知道意思沒有 我們要比照金管會把你們的重大裁罰要要求一個約束 自我約束定期公告我們要看因為時間的關係另外剛剛說什麼 你們說罰了30萬你們是根據洗房法但是我們來看一下洗錢防治法裡面如果是機構的是50萬到1000萬個人的是5萬到500萬我看你們的等級是把它當作個人在罰不是把它當作機構在罰部長會不會裁罰太輕
transcript.whisperx[12].start 312.471
transcript.whisperx[12].end 333.86
transcript.whisperx[12].text 三十萬啊洗髮法是機構是五十到一千個人是五到五百看起來你們是用個人的尺度去裁罰請問這個地方洗錢的難道是個個人嗎是不是你們在未來裁罰的時候要考慮一下因為他是屬於第三方支付是屬於金融機構喔他是被認定是屬於金融機構喔
transcript.whisperx[13].start 336.971
transcript.whisperx[13].end 355.379
transcript.whisperx[13].text 現在是因為負責人好像被羈押了所以負責人被羈押是一件事情我說你們是用機構的尺度去裁罰還是用個人的尺度去裁罰部長你們未來要把這個區分出來好不好把家強打詐最後一個問題我們說為落地平台提報法律代表請問這個法律代表能負責什麼法律責任
transcript.whisperx[14].start 357.11
transcript.whisperx[14].end 373.17
transcript.whisperx[14].text 法律代表就是給你一個人頭給你看啊我們就是有要裁罰或者是要那個下架就會經過那他找個人頭他能負什麼法律責任他如果沒有照我們的要求出我們就開始開罰裁罰開罰那個人頭就是那個公司代表
transcript.whisperx[15].start 374.171
transcript.whisperx[15].end 396.531
transcript.whisperx[15].text 他就是法律代表嘛所以說法律代表的一個承擔能力呢還太弱啦我們再往下看所以最後 最後無廣告業務的平台沒有納入打詐專法現在是有廣告業務的才納入打詐專法嗎目前是那未來呢 未來可不可以把這些無廣告業務的想辦法納進打詐專法來這個要修法嗎要修法 有沒有打算修法
transcript.whisperx[16].start 397.887
transcript.whisperx[16].end 420.126
transcript.whisperx[16].text 不然我們來推動來 最後的結論所以呢 速發部應該完善第三方支付的業務監管法規 目前沒有違法的重大 應該在官網上依據辦法來公告另外呢 對未落地際未提供廣告服務的平台要阻詐是不是這個阻寫錯了阻止了阻請一個月內提出書面報告好不好好 謝謝