In (FI3V19019), I’m exploring the ethical dimensions of technology, focusing on the societal implications and moral responsibilities in developing and deploying technological systems, particularly in AI. This course combines theoretical discussions with practical case studies, assessed through assignments, presentations, and an exam. Below is a breakdown of the topics covered:
Ethical Frameworks: Studied major ethical theories (e.g., utilitarianism, deontology, virtue ethics) and their application to technology.
Technology and Society: Analyzed the societal impact of technologies, including AI, automation, and data-driven systems.
Bias and Fairness in AI: Explored issues of algorithmic bias, fairness, and discrimination in machine learning models.
Privacy and Surveillance: Investigated ethical concerns around data collection, surveillance, and user consent.
Accountability and Transparency: Studied the importance of explainable AI and accountability in automated decision-making.
Automation and Labor: Examined the ethical implications of automation on employment and societal structures.
Case Study Analysis: Conducted in-depth analyses of real-world ethical dilemmas, such as autonomous vehicles or facial recognition systems, through group discussions and written reports.
Presentation: Prepared and delivered a presentation on an ethical issue in AI, such as the trade-offs between model performance and fairness, applying ethical theories to propose solutions.