Identifying Context-Specific Values via Hybrid Intelligence

HyEnA: A Hybrid Method for Extracting Arguments from Opinions

The key arguments underlying a large and noisy set of opinions help understand the opinions quickly and accurately. Fully automated methods can extract arguments but (1) require large labeled datasets and (2) work well for known viewpoints, but not for novel points of view. We propose HyEnA, a hybrid (human + AI) method for extracting...

Does Personalization Help? Predicting How Social Situations Affect Personal Values

Personal values represent what people find important in their lives, and are key drivers of human behavior. For this reason, support agents should provide help that is aligned with the personal values of the users. To do this, the support agent not only should know the value preferences of the user, but also how different situations in the...

Trust in Clinical AI: Expanding the Unit of Analysis

From diagnosis to patient scheduling, AI is increasingly being considered across different clinical applications. Despite increasingly powerful clinical AI, uptake into actual clinical workflows remains limited. One of the major challenges is developing appropriate trust with clinicians. In this paper, we investigate trust in clinical AI in a...

Moral Reflection with AI Necessary or Redundant?

Moral support with AI has been gaining traction. The proponents of moral support with AI claim that some of the more problematic behavioural patterns of humans can be resolved with the help of AI, such as inability to extend moral concern to global level problems like climate change and refugee crisis. They offer a variety of ways of doing so-...

Estimating Value Preferences in a Hybrid Participatory System

We propose methods for an AI agent to estimate the value preferences of individuals in a hybrid participatory system, considering a setting where participants make choices and provide textual motivations for those choices. We focus on situations where there is a conflict between participants' choices and motivations, and operationalize the...