As artificial intelligence becomes more powerful and a ubiquitous presence in daily life, it is imperative to understand and manage the impact of AI systems on our lives and decisions. Modern ML systems often change user behavior (e.g. personalized recommender … Continued
This paper documents differences across higher-education courses in the coverage of frontier knowledge. Comparing the text of 1.7M syllabi and 20M academic articles, we construct the “education-innovation gap,” a syllabus’s relative proximity to old and new knowledge. We show that courses … Continued
A growing number of oversight boards and regulatory bodies seek to monitor and govern algorithms that make decisions about people’s lives. Prior work has explored how people believe algorithmic decisions should be made, but there is little understanding of how … Continued
One of the difficulties of artificial intelligence is to ensure that model decisions are fair and free of bias. In research, datasets, metrics, techniques, and tools are applied to detect and mitigate algorithmic unfairness and bias. This study aims to … Continued
This paper stresses the importance of biases in the field of artificial intelligence (AI) in two regards. First, in order to foster efficient algorithmic decision-making in complex, unstable, and uncertain real-world environments, we argue for the structurewise implementation of human … Continued
What kinds of instructional prompts are easier to follow for Language Models (LMs)? We study this question by conducting extensive empirical analysis that shed light on important features of successful instructional prompts. Specifically, we study several classes of reframing techniques … Continued
For papers to have scientific impact, they need to impress our peers in their role as referees, journal editors, and members of conference committees. Does better writing help our papers make it past these gatekeepers? In this study, we estimate … Continued
https://kaifulee.medium.com/how-ai-will-completely-change-the-way-we-live-in-the-next-20-years-e27a855b1bd0 Artificial intelligence (AI) could be the most transformative technology in the history of mankind — and we may not even see much of this sweeping change coming. That’s because we often overestimate what technologies can do in five years, … Continued
With the recent growth in artificial intelligence models and its expanding role in automated decision making, ensuring that these models are not biased is of vital importance. There is an abundance of evidence suggesting that these models could contain or … Continued
Missing data is a systemic problem in practical scenarios that causes noise and bias when estimating treatment effects. This makes treatment effect estimation from data with missingness a particularly tricky endeavour. A key reason for this is that standard assumptions … Continued