As it is the case for many business processes and activities disciplines, artificial intelligence (AI) is increasingly integrated in human resources management (HRM). While AI has great potential to augment the HRM activities in organizations, automating the management of humans is not without risks and limitations. The identification of these risks is fundamental to promote responsible use of AI in HRM. We thus conducted a review of the empirical academic literature across disciplines on the affordances and responsible principles of AI in HRM. This is the first review of responsible AI in HRM that focuses solely on studies containing observations, measurements, and tests about this phenomenon. The multi-domain and multidisciplinary approach and empirical focus provides a better understanding of the reality of the development, study, and deployment of AI in HRM and sheds light on how these are conducted responsibly. We conclude with a call for research based on what we identified as the most needed and promising avenues.

Are international framework agreements (IFAs) an effective trade union response for regulating multinational enterprises and protecting workers' rights? Using a metasynthesis methodological approach, which we apply to a corpus of 36 empirical studies, this article aims to 1—provide empirical and practical answers to this question and 2—offer a theoretical reflection on the notion of effectiveness as applied to the case of IFAs.