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cs.IR2026
From Skill Extraction to Multistakeholder Recommendation: A Two-Stage Framework for Bias Governance in Skills-Based Job Matching
Andrea Forster, Gregor Autischer, Dominik Kowald +1
AI-based labor-market systems or platforms can affect access to job opportunities prior to organizational candidate rankings or hiring decisions. Such applications warrant caution,…
cs.IR2024
Transparency, Privacy, and Fairness in Recommender Systems
Dominik Kowald
Recommender systems have become a pervasive part of our daily online experience, and are one of the most widely used applications of artificial intelligence and machine learning. T…