Science, Engineering, AI & Data Ethics | 科学技術・AI倫理 from edX

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.

本コースは、工学、科学、AI（人工知能）分野で日々起こる倫理的問題を捉え、解決する方法を学びたいと考えている方に最適のコースです。倫理は、工学と科学を実践する際に不可欠な役割を果たし、最近では、AIとビッグデータ分析の影響も受けています。 2017年にリリースされた本コースの前身となるコースでは、工学分野の伝統的な「予防倫理」および「志向倫理」を取扱ってきましたが、今回の改訂により、すべての技術者および科学者に必要なAIとデータ倫理を取扱う新しいモジュールが追加されました。

本コースの学習目標は以下のとおりです。

工学的・科学的解決策が社会・環境に与える影響の大きさを認識する。
事例研究を通して実践的な倫理手法であるセブン・ステップ・ガイドを応用する。
現実世界の問題に対し、マクロからメタレベルにかけて倫理的に最も良い解決策を批評、分析、発展させる。
事例研究を通じて、倫理的な技術者として専門的な組織内でどのように個人がふるまうかを理解する。
AIのような発展中の技術に対し、どう倫理原則を適用するかを理解する。
AIに関連する様々な倫理ガイドラインとその適用方法を理解する。
AI関連の倫理的および技術的な基準が偏見、トレードオフの関係、規範等によってどのような影響を受けるのかと把握する。

What's inside

Learning objectives

The social and environmental impact engineering has on society
Aspirational ethics and preventive ethics
Values which scientists and engineers share
A method for ethical decision making
Case analysis skills
Ai and data ethics
Ai for social good
Ai and data guidelines
Blackbox model
技術的な解決が、人間社会や環境に与える影響

「志向倫理」と「予防倫理」
科学技術者が共有すべき価値
倫理的意思決定の方法
事例分析スキル
Aiとデータの倫理
Aiとデータの倫理ガイドライン
ブラックボックスモデル
社会的利益のためのai
このコースを通して、以下のことを学びます。

The social and environmental impact engineering has on society
Aspirational ethics and preventive ethics
Values which scientists and engineers share
A method for ethical decision making
Case analysis skills
Ai and data ethics
Ai for social good
Ai and data guidelines
Blackbox model
技術的な解決が、人間社会や環境に与える影響
「志向倫理」と「予防倫理」
科学技術者が共有すべき価値
倫理的意思決定の方法
事例分析スキル
Aiとデータの倫理
Aiとデータの倫理ガイドライン
ブラックボックスモデル
社会的利益のためのai
このコースを通して、以下のことを学びます。

Syllabus

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

Unit 1: Why is Engineering Ethics a Current Focus of Attention?Unit 2: Engineer Ethical ThinkingUnit 3: Seven-step Guide to Ethical Decision MakingUnit 4: How Should Scientists and Engineers Make Ethical Decisions?Unit 5: Researcher EthicsUnit 6: Engineering Ethics 2.0Unit 7: Artificial Intelligence (AI) and Data Ethics

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Examines how AI and data can be developed and used for social good

Provides a critique of how technical solutions can influence societies

Includes interactive materials and hands-on experience

Can be taken alone or as part of a series

Course materials are offered in multiple languages

Offers a foundational curriculum on engineering and scientific ethics

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Science, Engineering, AI & Data Ethics | 科学技術・AI倫理 with these activities:

Explore online resources on AI ethics

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Expand your understanding of AI ethics by delving into reputable online resources.

Browse courses on AI Ethics

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Search and identify reputable websites
Read articles and watch videos on AI ethics

Read 'Ethics for the Real World' by Ronald N. Pine

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Gain a comprehensive understanding of ethical concepts and their practical application in engineering and science.

View Ebook: Managerial Accounting - Global Edition on Amazon

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Read the assigned chapters in the book.
Highlight and make notes on key ethical principles.
Participate in class discussions on the book's content.

Review basic engineering or science principles

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Strengthen your foundation in core engineering or science concepts to enhance your understanding of ethical issues in these fields.

Browse courses on Engineering

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Seek help from classmates or professors if needed.
Review textbooks or online materials on relevant topics.
Solve practice problems to test your understanding.

Ten other activities

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Organize and review course materials

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Review key concepts and improve comprehension by organizing and reviewing course notes and materials.

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Gather materials
Organize into logical sections
Review and summarize key concepts

Join a study group

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Collaborate with peers to discuss ethical issues, share perspectives, and enhance your learning experience.

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Find other students enrolled in the course.
Organize regular study sessions to discuss course materials.
Facilitate discussions on ethical dilemmas.
Provide feedback and support to each other.

Solve moral dilemmas

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Practice applying ethical principles to real-world scenarios to develop your ethical decision-making skills.

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Identify the ethical issue in the scenario.
Analyze the potential impacts of different actions.
Apply the seven-step ethical guide to make a decision.
Evaluate the outcome of your decision.

Create your own ethical AI framework

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Develop a deep understanding of AI ethics by creating your own framework for ethical AI practices.

Browse courses on AI Ethics

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Identify the key ethical principles for AI
Create a decision tree or flowchart for ethical AI decision-making

Design an infographic on AI ethics

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Engage with the course material creatively by visually presenting key ethical principles for AI.

Browse courses on AI Ethics

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Identify key ethical principles and issues
Choose relevant data and statistics
Design a visually appealing and informative infographic

Interview an ethicist

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Gain insights from an expert and expand your understanding of ethical principles and their application.

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Research potential ethicists to interview.
Prepare questions that align with the course topics.
Schedule and conduct the interview.
Summarize and reflect on the key takeaways from the interview.

Take online courses on AI ethics

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Enhance your knowledge of AI ethics and prepare for potential career opportunities in the field.

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Explore online platforms offering courses on AI ethics.
Choose a course that aligns with your interests and learning goals.
Complete the course modules and engage in discussions.
Apply the acquired knowledge to real-world ethical issues in AI.

Assist other students in understanding ethical concepts

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Reinforce your own understanding of ethical principles by helping others comprehend and apply them.

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Identify students who may need assistance with course content.
Schedule regular study sessions to provide guidance.
Explain ethical concepts in a clear and concise manner.
Facilitate discussions and answer questions.

Develop an AI ethics policy for a fictitious organization

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Apply ethical principles to organizational practices by crafting an AI ethics policy.

Browse courses on AI Ethics

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Research relevant laws and regulations
Identify stakeholders and their concerns
Draft and refine the AI ethics policy

Develop an AI ethical impact assessment

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Demonstrate your understanding of AI ethics by creating a comprehensive assessment of the ethical implications of an AI system.

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Identify a specific AI system or application.
Analyze the potential benefits and harms associated with the system.
Develop recommendations for mitigating potential ethical risks.
Present your findings in a written report or presentation.

Career center

Learners who complete Science, Engineering, AI & Data Ethics | 科学技術・AI倫理 will develop knowledge and skills that may be useful to these careers:

AI Ethicist

AI Ethicists develop and implement ethical guidelines for the development and use of AI systems. This course is specifically tailored to equip you with a deep understanding of AI and data ethics. The modules on AI and Data ethics, AI for Social Good, and AI and Data guidelines will provide you with a comprehensive foundation in ethical principles, regulatory frameworks, and best practices for designing, developing, and deploying AI systems that align with societal values and promote human well-being.

See salaries and explore the career path for AI Ethicist

Data Scientist

Data Scientists analyze and interpret data to extract meaningful insights that can aid in decision-making. This course will help strengthen your understanding of AI and data ethics, which are essential for ensuring responsible and ethical data handling and analysis. Through modules on AI and Data ethics, AI for Social Good, and AI and Data guidelines, you will develop the necessary skills and knowledge to navigate the ethical implications of data science and contribute to a more equitable and responsible use of data.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. This course will provide you with a comprehensive understanding of AI and data ethics, which are fundamental for building and deploying ethical and responsible machine learning systems. The modules on AI and Data ethics, AI for Social Good, and AI and Data guidelines will equip you with the practical skills and knowledge to identify and address ethical issues, ensuring that your machine learning solutions align with societal values and contribute to a positive impact on the world.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers design, develop, and maintain software systems. By taking this course, you will gain a solid foundation in science, engineering, and AI ethics, which are crucial for building ethical and responsible software solutions. The modules on AI and Data ethics, AI for Social Good, and AI and Data guidelines will equip you with the knowledge and skills needed to navigate the ethical challenges in software development and contribute to a more just and equitable digital world.

See salaries and explore the career path for Software Engineer

Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. This course can be a valuable asset for Data Analysts, as it provides a solid foundation in science, engineering, and AI ethics. The modules on AI and Data ethics, AI for Social Good, and AI and Data guidelines will equip you with the knowledge and skills to handle data ethically and responsibly, ensuring that your analysis and insights contribute to informed decision-making and positive outcomes.

See salaries and explore the career path for Data Analyst

Researcher

Researchers conduct scientific investigations to advance knowledge and understanding. This course can be valuable for Researchers, especially those working in AI or data-related fields. The modules on AI and Data ethics, AI for Social Good, and AI and Data guidelines will provide you with a strong foundation in ethical principles and best practices for conducting ethical research, ensuring the integrity and responsible use of your findings.

See salaries and explore the career path for Researcher

Policy Analyst

Policy Analysts research, analyze, and make recommendations on public policies. This course may be useful for Policy Analysts working on AI or data-related policies. The modules on AI and Data ethics, AI for Social Good, and AI and Data guidelines will provide you with a deep understanding of the ethical, legal, and societal implications of AI and data, enabling you to develop and advocate for policies that promote responsible innovation and protect public interests.

See salaries and explore the career path for Policy Analyst

Science Writer

Science Writers communicate complex scientific concepts to a non-専門家 audience. This course can be beneficial for Science Writers, particularly those covering AI or data-related topics. The modules on AI and Data ethics, AI for Social Good, and AI and Data guidelines will equip you with the knowledge and skills to accurately and responsibly convey the ethical implications and societal impact of AI and data, fostering informed public understanding and engagement.

See salaries and explore the career path for Science Writer

Data Protection Officer (DPO)

Data Protection Officers (DPOs) ensure that organizations comply with data protection regulations. This course may be useful for DPOs, particularly those working in organizations that handle AI or data. The modules on AI and Data ethics, AI for Social Good, and AI and Data guidelines will provide you with a comprehensive understanding of data protection laws and ethical principles, enabling you to effectively implement and enforce data protection measures within your organization.

See salaries and explore the career path for Data Protection Officer (DPO)

Consultant

Consultants provide expert advice and support to organizations. This course can be beneficial for Consultants, particularly those specializing in AI or data. The modules on AI and Data ethics, AI for Social Good, and AI and Data guidelines will equip you with the knowledge and skills to advise clients on the ethical implications of AI and data, helping them make informed decisions and implement responsible practices.

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Project Manager

Project Managers plan, execute, and close projects. This course can be beneficial for Project Managers, particularly those working on projects involving AI or data. The modules on AI and Data ethics, AI for Social Good, and AI and Data guidelines will provide you with the knowledge and skills to identify and address ethical issues that may arise during project planning and execution, ensuring that your projects are conducted ethically and responsibly.

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Technical Writer

Technical Writers create documentation and other materials to explain technical concepts. This course can be helpful for Technical Writers, especially those specializing in AI or data. The modules on AI and Data ethics, AI for Social Good, and AI and Data guidelines will provide you with a solid understanding of ethical considerations in AI and data, enabling you to write clear and informative documentation that addresses ethical implications and promotes responsible use of technology.

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Ethnographer

Ethnographers study human behavior and culture through observation and immersion. This course may be useful for Ethnographers researching the ethical implications of AI and data. The modules on AI and Data ethics, AI for Social Good, and AI and Data guidelines will provide you with a solid foundation in ethical principles and best practices for conducting ethical research, ensuring that your findings accurately reflect the perspectives and experiences of the communities you study.

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User Experience (UX) Researcher

UX Researchers study how users interact with products and services to improve their user experience. This course may be helpful for UX Researchers working on AI or data-driven products. The modules on AI and Data ethics, AI for Social Good, and AI and Data guidelines will provide you with a deeper understanding of the ethical considerations in designing AI-powered experiences, enabling you to create products that are not only user-friendly but also ethically responsible.

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Product Manager

Product Managers oversee the development and launch of new products and features. This course may be useful for Product Managers, as it provides a framework for considering the ethical implications of new technologies. The modules on AI and Data ethics, AI for Social Good, and AI and Data guidelines will help you develop a strong understanding of the ethical considerations involved in product development and enable you to make informed decisions that align with societal values and responsible innovation.

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