Explores decision-making under uncertainty, focusing on Kilian Schindler's posthumous PhD thesis on scalable stochastic optimization and scenario reduction.
Delves into the impact of bias in machine learning models and the importance of evaluating potential harm in developing such systems.
Delves into different ethical theories and thought experiments in the context of AI, exploring the challenges of defining AI.
Explores consequentialism, deontology, and virtue ethics, highlighting their strengths and challenges in making ethical decisions.
Covers cost benefit analysis in transportation, stakeholders, indicators, challenges, and decision-making implications.
Explores the Ethics and Law of AI, focusing on data ethics, bias, and social justice in AI systems.
