請見課綱說明
https://ithu.tw/iEnkwPlease see the syllabus
https://ithu.tw/iEnkw
1.以「偏見、歧視與不平等」作為主要議題開設課程
2.以專題實作為主、教師授課為輔,並搭配邀請校外講者演講,促進學生多元學習
3.安排相關AI科技參訪,瞭解社會科學在AI發展下對於資料可能產生的偏見與歧視的著力點
4.辦理學生專題實作發表
1. Offer courses with "prejudice, discrimination and inequality" as the main topic
2. Focus on topic practice, supplemented by teacher teaching, and invite external speakers to give speeches to promote students' diversified learning
3. Arrange visits to relevant AI technologies to understand the focus of bias and discrimination that social sciences may have on data under the development of AI.
4. Handle student project implementation presentations
請參考課綱說明
https://ithu.tw/LSDMa
Please refer to the syllabus
https://ithu.tw/LSDMa
評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
---|---|---|
請查閱課綱說明請查閱課綱說明 Please refer to the syllabus |
100 | 請參考課綱說明 https://ithu.tw/LSDMa |