Data Ethics, AI and Responsible Innovation

Overview

Delve into the intriguing world of data ethics, AI, and responsible innovation in an enlightening course offered by RWTH Aachen University via edX. This course takes a critical look at the pressing ethical questions raised by our increasing reliance on data-driven technologies.

From smart homes to AI in predictive policing, learn how to navigate the ethical landscapes that technology presents us with today.

Under the guidance of leading experts in data science, AI, information law, and more, students will explore the ethical, social, political, and legal dimensions of technology. Using real-world controversies and case studies from digital business leaders and tech companies, the course addresses fundamental ethical questions such as bias, fairness, rights, and privacy.

Discover the significance of designing technologies that foster trust, well-being, and human autonomy.

Through interactive content, this course encourages participants to critically engage with current debates surrounding facial recognition, smart cities, medical screening, and more. It aims to equip learners with the knowledge and tools necessary to assess and mitigate the risks associated with data-driven innovations, promoting a more fair and just digital future.

Completing this course will not only deepen your understanding of the challenges posed by new technologies but also inspire you to contribute to the development of intelligent systems that positively shape our future.

Enroll now and join the conversation on how to harness the power of AI and data science for the greater good, while aligning with the principles of justice, fairness, and respect outlined under SDG 9:

Innovation and SDG 16:

Peace categories.

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Taught by

Ewa Luger, Michael Rovatsos, Burkhard Schafer, Morgan Currie, Robin Williams, Claudia Pagliari, Sarah Chan, James Stewart and Lachlan Urquhart

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Subjects