In AI-assisted decision-making, a central promise of putting a human in the loop is that they should be able to complement the AI system by adhering to its correct and overriding its mistaken recommendations. In practice, however, we often see … Continued
User trust in Artificial Intelligence (AI) enabled systems has been increasingly recognized and proven as a key element to fostering adoption. It has been suggested that AI-enabled systems must go beyond technical-centric approaches and towards embracing a more human centric … Continued
Data storytelling plays an important role in data workers’ daily jobs since it boosts team collaboration and public communication. However, to make an appealing data story, data workers spend tremendous efforts on various tasks, including outlining and styling the story. … Continued
HTC PhD Candidate, Jessa Henderson and 1st author, and HTC faculty Natalie Milman (along w/ 2 other colleagues at other universities) were awarded the 2023 American Educational Research Association Technology as an Agent of Change in Teaching and Learning SIG’s … Continued
cims.nyu.edu The widespread public deployment of large language models (LLMs) in recent months has prompted a wave of new attention and engagement from advocates, policymakers, and scholars from many fields. This attention is a timely response to the many urgent … Continued
Intersectionality is a critical framework that, through inquiry and praxis, allows us to examine how social inequalities persist through domains of structure and discipline. Given AI fairness’ raison d’être of “fairness,” we argue that adopting intersectionality as an analytical framework … Continued
Computer science research has led to many breakthrough innovations but has also been scrutinized for enabling technology that has negative, unintended consequences for society. Given the increasing discussions of ethics in the news and among researchers, we interviewed 20 researchers … Continued
The rapid proliferation of advanced AI chatbots and large language models (LLMs), such as ChatGPT, have coincided with increased calls to use psychological tools to understand how people perceive interactions with these AI systems. Decades of research into how people … Continued
This might be worth keeping in the back of your minds in case you want to do some data collection (without using a tool like Qualtrics)… POTATO: The Portable Text Annotation Tool arxiv.org Ryan Watkins, Ph.D.▲ Professor, George Washington University Program … Continued
Algorithms are used to aid human decision makers by making predictions and recommending decisions. Currently, these algorithms are trained to optimize prediction accuracy. What if they were optimized to control final decisions? In this paper, we study a decision-aid algorithm … Continued