𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗔𝗜 𝗶𝗻 𝗪𝗼𝗿𝗸𝗽𝗹𝗮𝗰𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗛𝘂𝗺𝗮𝗻 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: 𝗧𝗿𝘂𝘀𝘁, 𝗘𝘁𝗵𝗶𝗰𝘀 𝗮𝗻𝗱 𝗢𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆

𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗣𝗮𝗽𝗲𝗿𝘀

𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗔𝗜 𝗶𝗻 𝗪𝗼𝗿𝗸𝗽𝗹𝗮𝗰𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗛𝘂𝗺𝗮𝗻 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: 𝗧𝗿𝘂𝘀𝘁, 𝗘𝘁𝗵𝗶𝗰𝘀 𝗮𝗻𝗱 𝗢𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆

𝗝𝗼𝘂𝗿𝗻𝗮𝗹:
Human Resource Development International

𝗣𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗿:
Taylor & Francis Group

𝗠𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲:
24 March 2027

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗜𝘀𝘀𝘂𝗲

The rapid integration of Artificial Intelligence (AI) into organizational systems is transforming workplace learning, performance management, and talent development. AI-enabled learning platforms, predictive workforce analytics, and algorithmic performance management tools are increasingly becoming strategic components of Human Resource Development (HRD). While these technologies promise greater efficiency, flexibility, and data-driven decision-making, they also raise critical concerns regarding fairness, accountability, employee trust, and ethical governance.

This special issue examines Explainable Artificial Intelligence (XAI) as a socio-organizational governance practice rather than merely a technical feature. It seeks conceptually robust and practice-oriented contributions that explore how explainable AI influences workplace learning, organizational capability, employee voice, leadership accountability, and organizational transformation across diverse contexts.

𝗧𝗼𝗽𝗶𝗰𝘀 𝗼𝗳 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁

Submissions may address, but are not limited to:

• Employee trust and organizational transparency in AI-supported performance evaluation
• Organizational justice and fairness in AI-influenced promotion and career development
• Ethical governance of AI in Human Resource Development systems
• Employee voice and participation in digitally mediated workplace learning
• Psychological safety and employee experience in data-driven HR decision-making
• Leadership accountability in technology-supported talent development
• Employee autonomy and work design in algorithmically mediated management systems
• HRD policies and institutional governance for responsible AI adoption
• Organizational capability development in AI-enabled learning and talent systems
• Organizational learning cultures in AI-supported development environments
• Power relations and employee agency in data-driven HR practices
• Institutional norms and ethical responsibility in AI-supported organizational development

𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗜𝘀𝘀𝘂𝗲 𝗙𝗼𝗰𝘂𝘀

The special issue positions Explainable AI at the intersection of ethics, organizational learning, and capability development. It aims to generate globally relevant scholarship that critically examines governance, employee voice, equity, and leadership responsibility in digitally mediated HR systems while connecting theoretical insights with practical implications for organizations.

𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗚𝘂𝗶𝗱𝗲𝗹𝗶𝗻𝗲𝘀

• HRDI standard submission requirements will apply.
• All manuscripts will undergo the journal's standard blind peer-review process.
• Contributions should demonstrate clear international significance and practical relevance for Human Resource Development.
• Manuscript submission deadline: 24 March 2027.

𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗜𝘀𝘀𝘂𝗲 𝗘𝗱𝗶𝘁𝗼𝗿𝘀

• Dr. Md. Biddut Hossain, Sejong University, Seoul, South Korea
Email: biddut2j8@gmail.com

• Dr. Rupali Kiran Shinde, Chungbuk National University, Cheongju, South Korea
Email: rups@chungbuk.ac.kr

• Dr. Nazmul Hossain, Jessore University of Science and Technology, Bangladesh
Email: n.hossain@just.edu.bd

𝗣𝗼𝘀𝘁𝗲𝗱 𝗼𝗻 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝗦𝗲𝘁𝘂 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰𝘀 — 𝗣𝗿𝗲𝗺𝗶𝗲𝗿 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗳𝗼𝗿 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 & 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻

Visit official website of the publisher