Ethics Artificial Intelligence Field Course

Artificial Intelligence (KA) or Artificial Intelligence (AI) is developing very quickly and has been widely used in several devices and systems in society and government. Knowledge of Railway Ethics is very necessary. This lecture covers the philosophical issues raised regarding what the railway system is, its current and future use and development. Students will be introduced to how we align the goals of an autonomous train system with our own goals as humans. On the issue of whether the future of AI poses an existential threat to humanity. This lecture also discusses how to prevent learning algorithms from acquiring morally unacceptable biases. The discussion also concerns whether the railway system can be a moral agent and how we can hold the railway accountable. And how should we live with and understand thoughts that are foreign (KA) to our minds. By the end of the course, students are expected to have demonstrated knowledge of the philosophical issues involved in the ethics of artificial intelligence. Able to work in a small team to analyze and review AI Ethics cases and submit proposed solutions or prevention. Able to produce written work regularly until the deadline as a lecture output in the case study model. Student skills in research, analysis, and argumentation.

• PLO-1
  Mampu menunjukkan nilai-nilai agama, kebangsaan dan budaya nasional, serta etika akademik dalam melaksanakan tugasnya
• PLO-4
  Mengembangkan diri secara berkelanjutan dan berkolaborasi.
• PLO-6
  Memiliki tanggung jawab profesional dan dapat melakukan penilaian berdasar informasi dalam praktek computing berdasar pada prinsip-prinsip legal dan etika
• PLO-8
  Bekerja sama dan memiliki kepekaan sosial serta membawa perubahan terhadap lingkungannya
• PLO-10
  Mampu menggunakan teknologi dalam bidang sains data
• PLO-15
  Mengidentifikasi dan menganalisis kebutuhan-kebutuhan pengguna dan mempertimbangkannya dalam memilih, membuat, mengintegrasi, mengevaluasi, dan mengadministrasi sistem berbasis kompetensi interdisiplin keilmuan sains data.
• PLO-19
  Mampu menerapkan pemikiran logis, kritis, sistematis, dan inovatif dalam mendesain, mengimplementasi dan mengevaluasi ilmu pengetahuan dan teknologi yang memperhatikan dan menerapkan nilai humaniora dalam bidang sains data.
• PLO-20
  Memiliki kemampuan (pengelolaan) manajerial tim dan kerja sama (team work), manajemen diri, mampu berkomunikasi baik lisan maupun tertulis dalam berbagai konteks profesional.