Beyond Algorithms : Well-Being AI and the Reawakening of Meaning and Connection at Work
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As artificial intelligence reshapes the future of work, leaders are challenged to consider not only organizational systems but also the existential foundations of human meaning (George & Dane, 2020). Although AI enhances efficiency, mechanistic optimization has contributed to alienation, invisibility, and burnout (Kellogg et al., 2020; Seligman, 2023). Well-Being AI is emerging across domains as a catalyst for human and societal flourishing (Mittelstadt, 2023). In healthcare, compassion-sensitive systems reduce clinician burnout and support dignity in care (Islam et al., 2024; Jennings et al., 2022). In corporate settings, sociotechnical systems detect inequities, lessen overload strain, and enhance belonging (Aguinis & Glavas, 2019; Lee et al., 2023). In education, reflective AI supports self-awareness, ethical learning, and leadership growth (George & Dane, 2020). In public sectors, wellbeing analytics and participatory platforms strengthen civic trust (Mittelstadt, 2023). Planetary wellbeing applications integrate long-term ecological stewardship into decisions (Benn et al., 2021). Across all sectors, technology must evolve to serve humanity—not the reverse (Floridi & Cowls, 2019). This symposium introduces Well-Being AI—an emerging paradigm that integrates ethical intelligence, compassion, consciousness, and human dignity to restore relational depth and purpose in organizational life (Williams & Sharma, 2023). Grounded in the Awakened Compassion–Wisdom–Care (ACWC) model of integral leadership, which emphasizes inner transformation as the basis of compassionate organizational systems (Singh Sengupta, 2025), Well-Being AI calls for principled leadership that fosters learning cultures and shared purpose (Singh Sengupta & Kahemei, 2023). Consciousness-centered leadership supports ethical presence, trust, and well-being in technology-enabled collaboration (Floridi & Cowls, 2019; Brynjolfsson & McAfee, 2022). This symposium also aligns with the United Nations Agenda 2030 – Sustainable Development Goal 3 (Good Health and Well-Being) by highlighting how Well-Being AI can reduce burnout, psychological strain, and feelings of invisibility caused by algorithmic systems, while strengthening dignity, psychological safety, and mental well-being at work. This symposium explores how Well-Being AI can strengthen psychological safety (Edmondson, 2019), increase fairness in decision-making (Lee et al., 2023), and foster greater meaning and connection at work (Aguinis & Glavas, 2019). Therefore, the purpose of this Panel Symposium is to engage a group of panelists in a formal, moderated, interactive discussion on how Well-Being AI—aligned with the global priority of mental health and well-being under the United Nations SDG 3—can be designed and governed to restore dignity, reduce human suffering, and sustain meaning in AI-enabled workplaces through the following guiding questions: 1. How can AI help people feel more seen and valued — instead of invisible or replaceable? 2. Which ethical lines must leaders draw now — before AI advances further into human decisions? 3. What leadership and design choices allow AI to support genuine dignity and compassion in healthcare? 4. In what situations is AI currently helping reduce human suffering, and which leadership and design choices are making those efforts successful? 5. How do we sustain meaning at work when machines take over identity-shaping tasks? Learning Outcomes & Contribution to Division This symposium advances scholarship and practice by equipping participants with the leadership mindsets and practical tools required to ensure that AI strengthens rather than undermines human wellbeing at work. Attendees will learn to clearly distinguish Well-Being AI from efficiency-driven automation models and gain an applied understanding of how ACWC-based leadership can ethically guide technology integration toward compassion, dignity, and shared purpose. Through dialogue and experiential co-design, participants will develop the capability to identify and mitigate psychological and ethical harms associated with algorithmic systems, while learning how to build cultures grounded in psychological safety, reflective learning, and relational trust. By the end of the session, leaders will be prepared with actionable strategies to enhance meaning, belonging, and connection in AI-enabled workplaces — ensuring that intelligent technologies elevate human potential and flourishing. Panelists 1. Corné J. Bekker, D. Litt. et Phil., Dean and Professor, Director of Th.M. and Ph.D. Programs, Regent University, School of Divinity, 1000 Regent University Drive, DIV 256, Virginia Beach, VA 23464. Email - clbekker@regent.edu 2. Allison H. Keene, EdD, MS, Associate Dean, Academic Affairs, Director, Master of Science in Organizational Leadership, Director, Continuing and Professional Studies programs, School of Business at Thomas Jefferson University, Philadelphia. Email - Allison.Keene@jefferson.edu 3. B. Charumathi, Ph.D., Professor, Department of Management Studies, Pondicherry University, R. V. Nagar, Kalapet, Pondicherry - 605 014 India. Email - profcharu@gmail.com 4. Norma Juma, Ph.D., Brenneman Professor of Business Strategy, Washburn University Brenneman School of Business, Topeka, KS. 66621. Email - norma.juma@washburn.edu 5. Desmond Upton Patton, PhD, MSW, PIK University Professor and Waldo E. Johnson Jr. Professor of Communication & Founding Faculty Director, Penn Center for Inclusive Innovation & Technology; Chief Innovation Officer, School of Social Policy & Practice. Email - dupatton@upenn.edu 6. Sunita Singh Sengupta, Founder & President, Integrating Spirituality and Organizational Leadership Foundation, USA. Email – Sunita.singhsengupta@gmail.com Discussant David S. Steingard, PhD, Director, SDG Dashboard, Steering Committee Member, PRME North America, Associate Professor of Management, Erivan K. Haub School of Business Saint Joseph's University Email - david.steingard@unglobalcompact.org Moderator Ayesha Sengupta, Ph.D., Assistant Professor Haub’s School of Business, St. Joseph’s University, USA Email - asengupta@sju.edu 1. Corné J. Bekker was appointed Dean of the School of Divinity at Regent University in December 2015. He previously served as the associate dean for academics for Rhema Bible College in South Africa, as a professor of Biblical and Ecclesial Leadership for the School of Business and Leadership as well as the chair of the Department of Biblical Studies and Christian Ministry. He is the founding editor for the Journal of Biblical Perspectives in Leadership and the Journal for Renewal Theology. His research interests are at the intersection of Theology, Spirituality and Leadership. 2. Allison H. Keene is the Associate Dean for Academic Affairs in the School of Business at Thomas Jefferson University in Philadelphia, PA. Additionally, she is serving as the Director of the Master of Science in Organizational Leadership program while also overseeing four online, accelerated undergraduate degree programs. With over 15 years of experience in education, Dr. Keene has developed more than a dozen courses focused on leadership and the practical application of leadership ideas and theories. Her educational philosophy is centered around breaking down traditional barriers to education, especially for first generation students and working adults, to create an engaging and flexible environment focused on success for all students. 3. B. Charumathi is Professor of Management at Pondicherry University, with nearly three decades of experience in HRD, corporate reporting, governance, and sustainability. A pioneer in ethical disclosure frameworks, including the Corporate Social Justice Disclosure Index, she has authored three books, published over 145 scholarly articles, supervised numerous PhD scholars, and led national and international projects on responsible governance. Her research and leadership advocates value-based organizations
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DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Beyond Algorithms : Well-Being AI and the Reawakening of Meaning and Connection at Work
- Date Crossref
- 01/07/2026
- Éditeur
- Academy of Management
- Type
- journal-article
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