As large language models (LLMs) proliferate, understanding their emergent behaviors remains a central challenge. This talk proposes a framework for interpreting LLM behavior through the lens of geometry. We argue that the structure of an LLM’s internal semantic space—the high-dimensional arrangement of concepts—serves as a…
Reparations confront the enduring harms of slavery and colonialism, demanding transformative policies to claim long-denied rights. At a time when our civil rights and liberties are under assault at the highest levels of government, how are organizers and policymakers defending historical truth and shaping policies for repair?
As part of the 25th anniversary of the Liechtenstein Institute on Self-Determination (LISD), the university community and members of the public are invited to join an international colloquium on the Global Food and Water Security Project as well as advanced techniques in agriculture, forestry, and water stewardship.
Far and away the most prominent and practically influential approach to AI ethics to date is the paradigm of algorithmic fairness. Machine learning applied in high stakes contexts is an epistemic activity, aimed at inference over real world data and hence real world systems. The paradigm of ML fairness is a second-order…
While researchers have long noted that people anthropomorphize computers, LLM-based chatbots represent a qualitative shift; they are the first technology that can engage in genuinely human-like conversations. In this talk, Jeremy Foote will discuss how the ongoing integration of LLMs into our social worlds is creating new risks…
