https://at-ceu.studyguide.timeedit.net/modules/DNDS5008?type=COREThis course explores the ethical implications and societal impacts of big data and AI in our increasingly digital world. Students will examine how large-scale server infrastructures, data collection, and application of machine learning models and statics affect various domains, from landscapes and workplaces to public policy, and scientific research. The course offers a multidisciplinary perspective, drawing from philosophy, sociology, science and technology studies, and computer science to address critical issues of resource extraction, working conditions, privacy, bias, transparency, and accountability in big data practices. Through case studies and real-world examples, students will engage with ethical challenges connected to big data infrastructure and its application in economic and political contexts. In the second part of the course, students will familiarize themselves with ethical guidelines for scientific research, such as the GDPR and the Belmont report, and learn how to implement these guidelines in their own research. By the end of the course, students will have developed a framework for critically evaluating the ethical dimensions of big data applications, balancing potential benefits with associated risks and societal implications. This knowledge is essential for future data scientists, policymakers, and informed citizens in our data-driven world.