Want to learn how to identify and solve every day ethical issues in engineering, science and Artificial Intelligence (AI)? If yes, this is the course for you! Ethics plays an integral role when it comes to engineering and science practice and recently is impacted by AI and big data analysis. This course originally released in 2017 teaches traditional preventive engineering ethics but emphasizes aspirational ethics. A new module was added that covers the topics of AI and Data ethics, which engineers and scientists also need to understand.
The learning objectives of this course are as follows:
recognize the significant social and environmental impact of engineering/scientific solutions.
apply a practical seven-step ethical guide to real-world cases.
critique, analyze, and develop best ethical solutions across micro- to meta- levels toward real-world problems.
understand how one behaves in an organization professionally as an ethical engineer.
learn how to apply ethical principles on advanced technologies like artificial intelligence.
understand different AI related ethical guidelines and how to apply them.
grasp how AI related ethical & technical standards are influenced by bias, trade-offs and norms
The first six units cover science and engineering topics and the lectures are given in Japanese and dubbed in English. Slides, quizzes and transcripts are available both in English and Japanese. In unit 7 on AI & Data ethics, the lectures and all materials are in English with closed captions in English and Japanese.
Unit 1: Why is Engineering Ethics a Current Focus of Attention?
Unit 2: Engineer Ethical Thinking
Unit 3: Seven-step Guide to Ethical Decision Making
Unit 4: How Should Scientists and Engineers Make Ethical Decisions?
Unit 5: Researcher Ethics
Unit 6: Engineering Ethics 2.0
Unit 7: Artificial Intelligence (AI) and Data Ethics
Unit 1: なぜ今、科学技術倫理か Unit 2: 技術者が倫理的な意思決定を迫られるとき Unit 3: セブン・ステップ・ガイドによる倫理的意思決定 Unit 4: 科学者や技術者はどのように意思決定をすべきか Unit 5: 研究倫理 Unit 6: 工学倫理2.0 Unit 7: 人工知能(AI)とデータ倫理