『Nexus Institute for Work and AI: Research Deep Dive』のカバーアート

Nexus Institute for Work and AI: Research Deep Dive

Nexus Institute for Work and AI: Research Deep Dive

著者: WRKdefined Podcast Network
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Join us for in-depth conversations with leading researchers at the intersection of work and artificial intelligence. Our hosts explore cutting-edge research, practical applications, and the profound implications AI is having on the workplace. From automation and job transformation to ethical considerations and emerging opportunities, each episode unpacks complex topics through thoughtful dialogue with the experts shaping the future of work. Whether you're a researcher, practitioner, or simply curious about how AI is reshaping our professional lives, these deep dives offer valuable insights grounded in rigorous research and real-world experience.All rights reserved by WRKdefined 日次 経済学
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  • A Conversation about Going From AI Enthusiasm to Accountable HR Adoption
    2026/09/23
    This research explores the necessity of ethical governance and human accountability when integrating artificial intelligence into human resource management. Drawing on research from Thailand, the author argues that organizational readiness depends more on transparent decision-making and practitioner capability than on technical enthusiasm alone. The research emphasizes a framework of accountable adoption, where deployment is contingent upon evidence of safety and the ability of staff to critically evaluate AI outputs. By examining case studies from banking and healthcare, the research illustrates how proactive oversight and stakeholder protection can bridge the gap between AI's potential and its responsible use. Ultimately, the research suggests that justified confidence in technology is only possible when human oversight and clear responsibility remain central to the process.
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    47 分
  • A Conversation about the Dual-Edge Sword of Organizational AI Adoption
    2026/09/22
    This research examines the psychological and operational impacts of integrating artificial intelligence into the modern workplace. It highlights a critical tension between increased organizational productivity and the heightened anxiety employees feel regarding job security and professional identity. The research argues that AI adoption triggers two divergent responses: an approach-oriented pathway that enhances autonomy and a withdrawal-oriented pathway driven by fear. To ensure a successful transformation, the research suggests that leaders must prioritize transparent communication, robust knowledge-sharing infrastructures, and human-centered design. Ultimately, the research posits that technological advancement must be paired with comprehensive employee support to foster a culture where both humans and machines can thrive.
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    56 分
  • A Conversation about Rebuilding Resilience: Three Steps After AI Workforce Reductions
    2026/09/16
    This research outlines a strategic framework for redesigning organizational workflows following workforce reductions driven by artificial intelligence. Rather than focusing solely on cost-cutting, the research advocates for a three-step rebuilding process that involves mapping current workforce capabilities, modeling future task-level needs, and empowering managers to execute these changes. By analyzing real-world examples from companies like IKEA and Schneider Electric, the research illustrates how businesses can move beyond simple headcount reduction toward sustainable capability development. The framework emphasizes that successful AI integration requires investments in human judgment, psychological safety, and rigorous data governance to ensure quality and reliability. Ultimately, the research argues that leaders must evaluate success based on long-term business outcomes and employee experience rather than immediate savings.
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    58 分
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