Investigator: Huang Ke-Wei.
With the rapid advances of artificial intelligence (AI), increasingly more job tasks can be automated and all occupations more or less have job tasks being automated by AI. Nevertheless, we know little about the extent to which AI may positively or negatively affect different occupations because most of the existing literature focused on quantifying the job displacement effects of AI. This study proposes and quantifies three mechanisms that AI may benefit the career of employees. The most unique mechanism analyzed is the jobs with only minor/supplementary tasks being automated by AI. By merging O*NET dataset with a large LinkedIn dataset, we conduct individual-level analyses regarding how demographics, education background, and skills accumulated from prior work experiences may correlate with a job role that benefits from AI advancements.
“Displaced or augmented? How does Artificial Intelligence Affect Our Jobs: Evidence from LinkedIn” CSWIM 2019, Shenzhen, China, by Qi Wang, Xuanqi Liu, and Ke-Wei Huang