Draws from Longino's values in science, IBM's core tenets of AI ethics, and new research in the field to understand how we can align AI systems with our own interests and desires.

Based in the ethics of persuasion, rhetoric, behavioral economics, Norman's UX research, examines the implications of addictive design and AI nudging on human users.

Demonstrated how "contagion of disrespect" can arise due to the dynamics of collaboration and reputation in acadamia, using a computational model.

Draws from Helen Longino's contextual and constitutive values, Tristan Harris's persuasive technology claims, and Don Normans UX research principles to analyze the underlying values in the design of tech products.

Distinguishes how a focus towards goal-oriented behavior can undermine the meaning in an aesthetic experience, using music, sports, and business as examples and drawing from Roger Scruton's writings.

Explores the long-term implications of altruistic expectations, using principles from game theory, a simple python model, and Carol Gilligan's ethics of care.

Explores how Hume's theory of human action exhibits shortcomings in addressing moral responsibility for autonomous agents.

Examines the foundational differences in the decision-making process between the humans AI.

Synthesizes ideas from behavioral economics, tech ethics, and stakeholder capitalism to propose a business entity structure that realigns motivations away from pure profit maximization.

Analyzes how the differing strategies that China, the US, and the EU have used to exert control over the information flow online, and how this impacts their respective societies.