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Nexus Institute for Work and AI: Research Deep Dive

by WRKdefined Podcast Network · 179 episodes

BusinessTechnologyEducation

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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.

Latest episodes

  1. Enrich, Don’t Extract

    Organizations frequently deploy artificial intelligence with a productivity-first approach that focuses strictly on maximizing output and reducing headcount, which often leads to e…

    47 min
  2. The Displacement Shadow: Fear of AI Replacement and Workplace Conduct

    This research examines how artificial intelligence adoption generates widespread workplace anxiety about job and occupation obsolescence, ultimately undermining employee conduct an…

    60 min
  3. Bridging the AI Dividend Gap

    The AI dividend gap describes the uneven distribution of generative artificial intelligence benefits in the workplace, where advantages flow primarily to college graduates, manager…

    48 min
  4. The AI Hiring Arms Race

    The modern recruitment landscape is experiencing an arms race as generative artificial intelligence floods employers with an overwhelming volume of polished applications while simu…

    1 h 16
  5. The Cloned Voice at the Top

    This research investigates the growing threat of deepfake executive impersonation, wherein bad actors leverage generative artificial intelligence to convincingly clone the voices a…

    51 min
  6. Managing AI-Assisted Performance Reviews

    Generative artificial intelligence has quietly permeated workplace performance evaluations, as a vast majority of corporate managers utilize these tools while keeping employees lar…

    1 h 10
  7. The Time Dividend Trap

    Generative artificial intelligence is frequently advertised as a tool that returns hours to employees, but empirical evidence reveals that these efficiency gains rarely translate i…

    1 h 03
  8. Navigating the Shift from AI Users to Builders

    Employer demand for artificial intelligence capabilities is rapidly evolving from basic prompting toward hands-on tool construction and workflow automation. Although a vast majorit…

    55 min
  9. Designing for Hybrid Intelligence

    Although organizations heavily invest in artificial intelligence, many fail to see meaningful returns because they mistakenly view technology as a human replacement rather than a c…

    1 h 05
  10. Mental Models of AI Error Boundaries

    This research explores how human-AI collaboration relies heavily on the ability of people to build accurate mental models of artificial intelligence error boundaries rather than so…

    1 h 00
  11. AI-Era Workforce Reallocation and Mobility

    This research examines workforce reallocation driven by artificial intelligence and automation through 2035, challenging the common narrative of widespread job destruction by highl…

    1 h 13
  12. Mapping AI Adoption Across Career Areas

    Labor market data reveals that artificial intelligence adoption is unevenly distributed across the economy rather than advancing uniformly. To effectively prioritize workforce prep…

    57 min
  13. AI Workforce Strategy

    Organizations integrating artificial intelligence into their operations frequently make the strategic mistake of prioritizing workforce automation and headcount reduction over huma…

    1 h 03
  14. Understanding AI Error Boundaries

    When organizations deploy artificial intelligence to assist with high-stakes choices, high standalone accuracy does not automatically guarantee superior team results. Instead, succ…

    50 min
  15. Preventing AI-Driven Misalignment in HR Systems

    This research explores the alignment paradox in human resources, where the integration of artificial intelligence can unintentionally sever the link between workforce behavior and…

    45 min
  16. Leadership Micro-Experiments and AI

    This research explores how micro-experiments and artificial intelligence are revolutionizing leadership development by bridging the gap between theoretical knowledge and practical…

    56 min
  17. From AI Enthusiasm to Accountable HR Adoption

    This research explores the necessity of ethical governance and human accountability when integrating artificial intelligence into human resource management. Drawing on research fro…

    47 min
  18. The Dual-Edge Sword of Organizational AI Adoption

    This research examines the psychological and operational impacts of integrating artificial intelligence into the modern workplace. It highlights a critical tension between increase…

    56 min
  19. Three Steps After AI Workforce Reductions

    This research outlines a strategic framework for redesigning organizational workflows following workforce reductions driven by artificial intelligence. Rather than focusing solely…

    58 min
  20. Recalibrating Trust and Purpose in the Age of AI

    This research explores how higher education is adapting to a volatile landscape defined by generative artificial intelligence, decreasing public trust, and financial instability. A…

    56 min
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