Human Resource Development International

The rapid integration of Artificial Intelligence (AI) into organizational systems is reshaping how learning, performance, and talent development are designed and managed in contemporary workplaces. AI‑enabled learning platforms, predictive workforce analytics, and algorithmic performance management tools are increasingly positioned as strategic components of Human Resource Development (HRD). While these technologies promise efficiency, flexibility, and data‑driven precision, they also raise critical concerns regarding fairness, accountability, and the ethical stewardship of organizational capability.

HRD scholarship has long emphasized that development extends beyond technical skill acquisition; it is a relational, contextual, and culturally embedded process shaped by organizational norms and power dynamics. Organizational learning theory highlights the collective nature of knowledge creation, while adult learning perspectives foreground agency, experience, and reflective meaning‑making. Sociotechnical systems thinking further reminds us that technologies cannot be separated from the social structures they influence. The introduction of opaque AI systems into promotion decisions, competency assessments, and developmental pathways therefore has profound implications for trust, employee voice, and the psychological contract.

When algorithmic outputs shape careers without intelligible explanation, perceptions of procedural justice and psychological safety may be undermined. Explainable AI (XAI) must thus be understood not merely as a technical feature but as a socio‑organizational governance practice. In HRD contexts, explainability shapes how employees interpret decisions, how managers demonstrate accountability, and how organizations maintain legitimacy. Transparent AI systems can reinforce cultures of shared understanding and participative learning, whereas opaque systems risk entrenching surveillance logics, reproducing bias, and normalizing datafication as a taken‑for‑granted managerial approach. Critical HRD perspectives further encourage scrutiny of how algorithmic management redistributes power, potentially constraining autonomy and reframing development as optimization.

Positioned at the intersection of ethics, organizational learning, and capability development, XAI reframes transparency as an ongoing organizational practice embedded in leadership behavior, HRD policy, and institutional norms.

We invite scholars, practitioners, and policy thinkers to contribute conceptually robust and practice‑grounded work that interrogates the implications of explainable AI for workplace learning, talent development, and organizational transformation. Submissions should critically examine governance, employee voice, equity, and leadership responsibility in digitally mediated HR systems, and should connect theoretical insight with practical relevance. Contributions from diverse organizational and global contexts are strongly encouraged.

Submissions should also demonstrate clear international significance, reflecting HRDI’s commitment to advancing globally relevant scholarship in Human Resource Development.

Contributions are invited on, but not restricted to, the following themes:

v  Employee trust and organizational transparency in AI‑supported performance evaluation

v  Organizational justice and fairness in AI‑influenced promotion and career development

v  Ethical governance of AI in Human Resource Development systems

v  Employee voice and participation in digitally mediated workplace learning

v  Psychological safety and employee experience in data‑driven HR decision making

v  Leadership accountability in technology‑supported talent development

v  Employee autonomy and work design in algorithmically mediated management systems

v  HRD policies and institutional governance for responsible AI adoption

v  Organizational capability development in AI‑enabled learning and talent systems

v  Organizational learning cultures in AI‑supported development environments

v  Power relations and employee agency in data‑driven HR practices

v  Institutional norms and ethical responsibility in AI‑supported organizational development