Science, Engineering, AI & Data Ethics 科学技術・AIとデータの倫理

Por: edX . en: ,


Want to learn how to identify and solve every day ethical issues in engineering, science and 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 Artifical Intelligence (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:

  1. recognize the significant social and environmental impact of engineering/scientific solutions.

  2. apply a practical seven-step ethical guide to real-world cases.

  3. critique, analyze, and develop best ethical solutions across micro- to meta- levels toward real-world problems.

  4. understand how one behaves in an organization professionally as an ethical engineer.

  5. learn how to apply ethical principles on advanced technologies like artificial intelligence.

  6. understand different AI related ethical guidelines and how to apply them.

  7. 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. 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.



1. 科学技術が人間社会や環境に与える影響を吟味することにより、技術者が重視すべき価値について理解し、これを共有しようとする態度を育成する。

2. 科学技術者が直面する可能性のある具体的な倫理問題の検討を通して、倫理的意思決定のための具体的な方法(セブン・ステップ・ガイド)を修得する。

3. 倫理的な科学技術者が、社会の福利に貢献できるだけでなく、自らの「よく生きること(well-being)」を維持し、高めることができることを理解する。

4. 具体的な事例の検討を通して、組織のなかで技術者がいかに行動すべきかを理解する。

5. 具体的な事例を分析するスキルを修得する。


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


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