Validity, privacy, accountability, and policy-operational controls for workforce technologies.
Proposes a taxonomy for evaluating dataset value in AI-native empirical research. Moves beyond volume-centric data paradigms to consider dimensions of quality, representativeness, and ethical sourcing.
We audit large companies' privacy and data sharing practices through email marketing. The study reveals systematic data sharing with third parties and evaluates implications for user privacy.
Applies NLP and bibliometric methods to analyze COVID-19 research output, identifying dominant topics, collaboration patterns, and temporal trends in the pandemic literature.
HR managers have a critical but underrecognized role in defending organizations against social engineering. This article argues that HR's people-facing position makes them essential for awareness, training, and policy.
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