Adaptive Crowdsourcing Via Self-Supervised Learning
The paper presents a new approach to crowdsourcing, leveraging self-supervised learning and a novel aggregation scheme. Instead…
Causal Perception
The paper ‘Causal Perception’ by Jose M. Alvarez and Salvatore Ruggieri, published in January 2024, explores the…
The Dynamics of (Not) Unfollowing Misinformation Spreaders
The study explores the dynamics of unfollowing misinformation spreaders on Twitter. Over six months, 1M followers and…
How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Large, Dynamic Experiment
The article presents a study investigating the impact of AI-generated ideas on human creativity and idea diversity….
GraphiMind: LLM-centric Interface for Information Graphics Design
The paper presents GraphiMind, a tool designed to simplify the process of creating information graphics, especially for…
A Human-Centered Review of Algorithms in Homelessness Research
The paper provides a systematic literature review of 57 papers to understand the use of decision-making algorithms…
Information That Matters: Exploring Information Needs of People Affected by Algorithmic Decisions
The article explores the gap between the information provided by AI systems and the information needs of…
Design, Development, and Deployment of Context-Adaptive AI Systems for Enhanced End-User Adoption
The paper discusses the design, development, and deployment of context-adaptive AI systems to improve end-user adoption. It…
The twin peaks of learning neural networks
The article studies the impact of overparameterization on the complexity and sensitivity of the function represented by…
Prompt Smells: An Omen for Undesirable Generative AI Outputs
The article ‘Prompt Smells: An Omen for Undesirable Generative AI Outputs’ discusses the recent trends in Generative…