Getting an offer from Bending Spoons has become harder than getting into Harvard.

Companies are increasingly using artificial intelligence in their hiring processes. It's not just CVs that are evaluated ...

New research from Stanford underscores that preventing bias in A.I.-powered hiring depends less on abandoning the technology than on designing, governing and auditing it responsibly. Unsplash+ How do ...

For many landlords and property managers, this data-driven process has an appealing aura of objectivity, consistency, and ...

This paper studies the predictability of long-term unemployment (LTU) using rich administrative data from Sweden. We establish substantial heterogeneity in LTU risk across individuals, accounting for ...

AI is helping employers hire faster, but questions remain over bias, transparency, data privacy, and accountability. Umairah Nasir speaks to HR and legal experts about the risks organisations may be ...

Abstract: The emergence of fuzzy sets makes job-shop scheduling problem (JSSP) become better aligned with the reality. This article addresses the JSSP with fuzzy execution time and fuzzy completion ...

Attorneys are now using artificial intelligence tools like ChatGPT to help select jurors. In a recent Florida case, AI assisted lawyers by analyzing juror data to predict outcomes. Some legal tech ...

Modern recruiting is marked by an “algorithmic monoculture” in which only a small number of vendors supply applicant screening algorithms, Stanford researchers said. The tendency of employers to use ...

Abstract: Automated design of job shop scheduling rules using genetic programming as a hyper-heuristic is an emerging topic that has become more and more popular in recent years. For evolving ...

AI algorithms exhibit racial bias in job candidate screening, and they discriminate more frequently against those applying for multiple jobs at different companies, according to Stanford-led ...