12 citations · 14 across the 4 of their papers we have counts for
4 papers
Monocultural Biases: Correlated biases in large language models lead to unequal systemic exclusion rates in hiring
Matthew Bone, Fabian Stephany, Maria del Rio-Chanona
Employers are increasingly using large language models (LLMs) to automate their hiring process. This paper investigates the risk of monocultural biases, in which the widespread dep…
Pay and Beyond: The Evolving Rewards for AI Skills
Alejandra Castaneda, Matthew Bone, Fabian Stephany
This study examines the monetary and non-monetary rewards advertised in job vacancies requiring artificial intelligence skills in the U.S. labor market. Using approximately ten mil…
Complement or substitute? How AI increases the demand for human skills
Elina Mäkelä, Matthew Bone, Mareike Sehrer +2
Artificial Intelligence (AI) is transforming the nature of work, yet there is limited empirical evidence on how it affects demand for human skills. This paper examines whether AI a…
Skills or Degree? The Rise of Skill-Based Hiring for AI and Green Jobs
Matthew Bone, Eugenia Ehlinger, Fabian Stephany
Emerging professions in fields like Artificial Intelligence (AI) and sustainability (green jobs) are experiencing labour shortages as industry demand outpaces labour supply. In thi…