This stream of research investigates how artificial intelligence (AI) is transforming organizational systems, workforce development, and human resource practices. It bridges instructional technology and human resource development (HRD) to explore both the opportunities and risks of AI integration from enhancing research productivity to addressing bias in automated decision-making.
My work positions AI not as a technical tool alone but as a sociotechnical system that interacts with human agency, ethics, and organizational culture. It also connects global collaboration and language translation with equitable knowledge production across borders.
This category contributes to emerging conversations around AI-driven workforce transformation and responsible innovation. It reflects a broader scholarly goal of aligning AI technologies with ethical HRD principles, equity, and sustainable work practices.
Bias and Fairness in AI Systems: Park & Sankaranarayanan (2026) analyzes ethical and HRD implications of algorithmic bias in AI-powered hiring, illustrating real-world dilemmas that HR professionals face when adopting AI tools.
AI in Organizational Development: Park et al. (2025, HRDR) conceptualizes how AI can serve as a catalyst for organizational learning and transformation, proposing a framework for integrating AI within OD interventions.
AI in International Survey Research: Park & Oh (2025, HRDI) develops an AI-supported alternative to traditional back-translation methods, reducing linguistic bias and enhancing validity in international research.
AI and Workforce Learning: Park (2024, Business Horizons) explores how AI reshapes training transfer processes, emphasizing that AI-driven personalization can enhance workforce learning outcomes.
Innovative Work During the Time of Change: Park (2022, Dissertation) examines the relationships between organizational culture and human agency as predictors of innovative and openness to change behaviors during periods of organizational change.
This category focuses on the ethical, inclusive, and human-centered dimensions of technology and organizational life. It examines how ethical reasoning, mentoring, and equitable design intersect in AI adoption, instructional design, and HRD.
My scholarship consistently emphasizes the moral and social responsibilities of educators and organizations deploying new technologies. It integrates ethics with diversity, human agency, and sustainable professional development, bridging HRD, learning sciences, and technology ethics.
This body of my work defines my role as a scholar-practitioner advocating for ethical digital transformation, ensuring that AI and technology serve human flourishing, respect diversity, and preserve integrity across learning and work contexts. My research moves the conversation beyond compliance toward moral imagination in educational and organizational design.
Ethical AI in Learning Environments: Sankaranarayanan & Park (2024, EdTech Books) presents ethical frameworks for AI in instructional design, addressing issues of privacy, transparency, and learner autonomy.
Academic Integrity and Generative AI: Park & Milner (2025, TechTrends) investigates how generative AI tools (e.g., ChatGPT) can be ethically integrated to support writing skills among non-traditional online learners.
Inclusive and Contemplative Mentoring: Abegunde & Park (2022, IU Pressbooks) advances a holistic model of mentoring that centers mindfulness, diversity, and inclusion in graduate education.
Equity and AI Bias: Park & Sankaranarayanan (2026) emphasizes fairness in AI-based hiring and its implications for diversity and inclusion policies.
AI for Inclusion and Diversity in HR: Park et al. (2025, AOM Proceedings) applies machine learning topic modeling to HR research, revealing how disability and inclusion are represented in organizational scholarship.
This research line examines how emerging technologies, from AI to digital badges and audio-based storytelling, can enhance learning engagement, accessibility, and professional growth. It reflects my commitment to designing technology-enabled learning environments grounded in adult learning and human development principles.
I integrate pedagogical innovation with practical design, showcasing how tools like “podcases,” microlearning, and online mentoring can transform teaching and learning in higher education and professional contexts.
This research stream demonstrates my expertise in educational innovation and instructional technology. It contributes to the scholarship of teaching and learning (SoTL), adult education, and health professions education, positioning technology not merely as a delivery mechanism but as a means to humanize and personalize learning.
Podcases and Audio Learning: Cumberland & Park (2025, Adult Learning) introduces “podcases,” a novel hybrid of podcasting and case-based learning that engages adult learners through narrative immersion.
Digital Badges and Microlearning: Park, Conklin, & Sankaranarayanan (2025, Routledge) investigates microlearning and credentialing strategies that empower learners to adapt to technological change.
Vignette-Based Learning in Medicine: Martin et al. (2025, JGIM) contributes to medical education by developing a case-to-vignette model for realistic clinical learning experiences.
Online Mentoring Models: Park, Lefaiver, & Wang (2024, Brill) provides a research-based framework for mentoring in digital contexts, emphasizing relationships and learner support in online environments.
Flexible Learning in Medical Education: Park (2021, KMER) analyzes technology adoption during the COVID-19 pandemic, providing insights into resilience and adaptability in instructional design.
Communication and Engagement: Park (2019, Dissertation) explores silence and participation in classrooms, offering foundational insights into learner agency and communication dynamics in technology-mediated instruction.