Algorithmic Bias & Fairness
Examines how machine learning models inherit human prejudices, the mathematical definitions of fairness, and mitigation frameworks for automated decision systems in hiring, lending, and criminal justice.
Explore foundational and contemporary ethical frameworks, moral philosophy, bioethics, AI ethics, professional codes of conduct, and the evolving standards that guide human decision-making across cultures and disciplines.
Examines how machine learning models inherit human prejudices, the mathematical definitions of fairness, and mitigation frameworks for automated decision systems in hiring, lending, and criminal justice.
A comprehensive analysis of the ethical boundaries surrounding heritable genome editing, including the He Jiankui case, WHO guidelines, and the philosophical debate between therapeutic enhancement and human modification.
Traces the evolution of corporate responsibility from Milton Friedman's shareholder doctrine to Edward Freeman's stakeholder model, analyzing modern ESG integration and fiduciary duty redefinitions.
Explores the historical foundations of informed consent from Nuremberg to Belmont, current regulatory frameworks, and emerging challenges in global multi-site trials and digital health research.
Analyzes the moral obligations of present generations to future ones, discount rate controversies in climate economics, and the ethical dimensions of loss, damage, and climate migration.
A comparative study of duty-based ethical systems (Kant, Ross) and outcome-based frameworks (Bentham, Mill, Parfit), including hybrid approaches and their applications in modern moral dilemmas.