Science, Engineering and AI Ethics
Learn essential ethical principles for engineering, science, and AI applications to improve human well-being in this comprehensive course from TokyoTechX.
Learn essential ethical principles for engineering, science, and AI applications to improve human well-being in this comprehensive course from TokyoTechX.
This course provides a thorough exploration of ethical considerations in science, engineering, and artificial intelligence. Students learn to identify and solve ethical challenges using a practical seven-step guide, focusing on both preventive and aspirational ethics. The curriculum covers the social and environmental impact of engineering solutions, professional behavior in organizations, and the application of ethical principles to advanced technologies like AI. The course includes special emphasis on AI and data ethics, addressing topics such as bias, trade-offs, and ethical guidelines.
Instructors:
English
English, Japanese
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What you'll learn
Recognize the social and environmental impact of engineering solutions
Apply practical ethical decision-making methods to real-world cases
Understand professional ethical behavior in organizational contexts
Master ethical principles for AI and advanced technologies
Analyze AI-related ethical guidelines and their practical implementation
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 7 modules in this course
This course addresses critical ethical considerations in science, engineering, and AI fields. It combines traditional engineering ethics with modern challenges posed by artificial intelligence and big data. The curriculum covers ethical decision-making frameworks, social responsibility in technology, and practical applications of ethical principles. Students learn through case studies, practical examples, and real-world scenarios, focusing on both preventive and aspirational ethics. Special attention is given to AI ethics, including guidelines, bias considerations, and social impact assessment.
Why is Engineering Ethics a Current Focus of Attention
Module 1
Engineer Ethical Thinking
Module 2
Seven-step Guide to Ethical Decision Making
Module 3
How Should Scientists and Engineers Make Ethical Decisions?
Module 4
Researcher Ethics
Module 5
Engineering Ethics 2.0
Module 6
Artificial Intelligence (AI) and Data Ethics
Module 7
Fee Structure
Instructors
1 Course
Engineering Ethics Scholar and Higher Education Expert
Jun Fudano is currently a Professor at Waseda University's Center for Higher Education Studies (CHES), where he has been serving since April 2020. His academic credentials include a PhD in History of Science from the University of Oklahoma and an MA in Education from International Christian University. Prior to his current position, he held significant roles at Tokyo Institute of Technology, including Professor at the Institute for Liberal Arts (2016-2018) and the Tokyo Tech Academy for Leadership (2018-2020). His extensive academic career also includes positions at Kanazawa Institute of Technology (1994-2015), where he served as Professor in Academic Foundations Programs and Humanities and Social Sciences. His expertise spans research ethics, science and engineering ethics, and the role of liberal arts in engineering education. He has made substantial contributions to engineering ethics education in Japan, focusing on its necessity, objectives, and implementation methods. As a visiting scholar, he has worked at prestigious institutions including the Smithsonian's National Museum of American History and The University of Tokyo. His current research interests encompass global engineering education, research misconduct prevention, engineering ethics, and business ethics, making him a leading figure in promoting ethical practices in scientific and engineering research
1 Course
IT Entrepreneur and Data Privacy Expert in Japan
Daniel Schwarz is the Founder and CEO of ITD-GBS Tokyo, an IT solutions company based in Japan. With over 15 years of experience in the IT field, he holds a degree in Computer Science with a focus on System Integration. Schwarz is a certified Data Protection Officer from the European Centre on Privacy and Cybersecurity (ECPC) and serves as a visiting lecturer at the University of Maastricht's Faculty of Law. His expertise spans areas such as data ethics, data privacy, and artificial intelligence. Schwarz is actively involved in the Japanese IT community, serving as the chairman of the IT roundtable at the German Chamber of Commerce and Industry in Japan. He has been a guest speaker at events organized by the EU Delegation in Tokyo and the Japanese Privacy Commission. Schwarz is also known for developing Mobyl, a plug-and-play IT solution recognized as a social change maker by the Nippon Foundation. His commitment to using technology for social good is evident in his collaboration with the Tokyo Institute of Technology to develop an edX course on AI and data ethics
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