Course title:
Data Ethics
Navigating the Ethical Landscape of Emerging Technologies
Our Interactive Online Course and Book
- Learn at your own pace: Our self-paced online course and interactive book provide a comprehensive introduction to data ethics.
- Engage with real-world examples: Explore case studies and practical scenarios to understand how data ethics applies in various contexts.
- Test your knowledge: Interactive quizzes and exercises help reinforce your learning.
COURSE DESCRIPTION:
Deep tech refers to technologies that are based on cutting-edge scientific principles and have the potential to revolutionize various aspects of our lives. However, the development and deployment of these technologies raise a host of ethical concerns, such as fairness, bias, privacy, and accountability. This course will provide a comprehensive overview of the ethical issues surrounding deep tech, empowering students to make informed decisions about the development and use of these powerful technologies.
In addition, most deep tech innovation is inspired by different science fiction books and movies, and the ethical concerns and philosophy of the authors of these works. In this perspective the ideas and visions of Isaac Asimov, Arthur C. Clarke, George Orwell, Aldous Huxley and many more are integrated in the course content and work as a framework for the course. This in order to give support for learning about the EU AI Act and the Asilomar AI Principles.
As deep tech innovations continue to transform our world, it is crucial to consider the ethical implications of these technologies. This course will provide a comprehensive overview of the ethical considerations surrounding deep tech, including topics such as algorithmic bias, privacy, artificial intelligence and autonomy, and the responsible development and deployment of deep tech. Furthermore, how all this impacts society and people at an individual level.
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 OBJECTIVES:
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
- Analyze 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 analyze the ethical challenges posed by deep tech
- Apply ethical principles to real-world case studies of deep tech applications
COURSE STRUCTURE:
The course will consist of six lessons, each covering a specific topic related to deep tech and ethics. Each module will include a mix of readings in an interactive book with interactive case studies and hands-on exercises. It will also include literature, advanced scenario-based learning and lectures.
Assessment: Quiz tests and assignments,
Final project: Develop a plan for the ethical development and deployment of a deep tech application, a plan that to a large extent can be developed during the course.
About the 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.
The EIT Deep Tech Talent Initiative works with a wide range of partners, including universities, research institutions, and private companies, to deliver specialized training in various deep technology fields. While the certificate comes from the partner institution, the EIT sets quality standards that all courses must meet.
A key requirement for these courses is that they must be equivalent to at least level 3 of the European Qualification Framework (EQF). This ensures a certain standard of learning and competence. The certificates are designed to be verifiable, meaning they can be authenticated by employers and other institutions.
Furthermore, since the course is approved by the EIT Deep Tech Talent Initiative, the training provider receives a “quality seal.” This seal signifies that the course has met the EIT’s rigorous criteria for high-quality deep tech education. Therefore, while the certificate is from the training provider, it is backed by the quality assurance of the EIT Deep Tech Talent Initiative.
If you want to know more and get an introduction to the course and data ethics in general, please listen to Episode 5 of our free Podcast, click here.
You can register as an individual to the course on page 2 and for group/arganisational contact/registration contact us via the form on page 3.