Data Ethics – Navigating the Ethical Landscape of Emerging Technologies

"Data Ethics – Navigating the Ethical Landscape of Emerging Technologies" is an online, self-paced course, accompanied by an interactive book that provides a comprehensive introduction to data ethics. Participants explore a range of practical scenarios to understand how data ethics applies in various contexts and test their knowledge via interactive quizzes and exercises. 

About this course

Target audience

This course is designed for anyone interested in learning about the ethical implications of deep tech, with special focus on deep tech students, professionals within deeptech, as well as policymakers. Basic knowledge of deep tech is required, but no prior knowledge of ethics is required.

Course structure

The course consists of six lessons, each covering a specific topic related to deep tech and ethics. Each module includes a mix of readings in an interactive book with interactive case studies and hands-on exercises. There is also supporting and additional literature and resources, such as advanced scenario-based learning and lectures.

During the final project, participants develop a plan for the ethical development and deployment of a deep tech application, a plan that can, to a large extent, be developed over the duration of the course. 

Certification

Upon successful completion of a course under the European Institute of Innovation and Technology’s (EIT) Deep Tech Talent Initiative, students are awarded a verifiable certificate of achievement or qualification. This certificate is not issued by the EIT itself, but rather by the specific training institution that provides the course.

A key requirement for the courses is that it must be equivalent to at least level 3 of the European Qualification Framework (EQF). The certificates are designed to be verifiable, meaning they can be authenticated by employers and other institutions.

Learning outcomes

By the end of this course, students will be able to:

• Define deep tech and explain its potential impact on society.
• Identify key ethical issues surrounding deep tech, such as fairness, bias, privacy, and accountability.
• Analyse real-world examples of how deep tech has been used ethically and unethically.
• Develop a framework for making ethical decisions about the development and use of deep tech.
• Advocate for responsible and ethical development of deep tech.
• Understand the fundamental concepts of deep tech and its impact on society.
• Identify and analyse the ethical challenges posed by deep tech.
• Apply ethical principles to real-world case studies of deep tech applications.