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Hiring, Cheating, and the AI Dilemma

Hiring, Cheating, and the AI Dilemma

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 Join host Ben Eubanks for a thought-provoking conversation with Dr. Cari Miller about one of the most pressing questions in today's workplace: When does using AI cross the line from productivity tool to cheating? From academic integrity to job applications and workplace performance, they explore the blurred boundaries of AI usage and what it means for workers, employers, and the future of work. This episode tackles the double standards, ethical dilemmas, and practical realities of AI adoption in hiring and beyond. Timestamps Episode Topics & Timestamps 0:00 - Introduction & Guest Background0:50 - Dr. Cari Miller's Research on AI & Worker Impacts3:00 - Academic Integrity vs. AI Literacy Debate5:00 - Defining AI "Cheating" in Education5:40 - Domain Knowledge & Copyright Considerations6:50 - Spell Check Analogy: Tools vs. Cheating11:00 - The Hiring Double Standard12:30 - Should We Test Candidates on AI Skills?13:50 - 61% of Jobs Don't Match Interview Descriptions15:20 - The Broken Application Process17:30 - Emotional Toll of Job Searching18:00 - Networking & Volunteer Work Strategy19:40 - Ben's Story: Volunteering to Break Into HR21:20 - Genuine vs. GPT: When Does AI Feel Like Cheating?23:30 - Disclosure & Context Matter25:00 - Survey Results: What Employers Consider Cheating27:00 - The AI Arms Race in Job Applications30:00 - The Entry-Level Crisis30:50 - Learning in the File Room: Foundation Skills32:00 - Junior vs. Senior Workers Using AI33:00 - The DOS to Windows Analogy35:30 - CEOs vs. Managers: Who Decides on AI?36:30 - AI Procurement & Process Design38:30 - Finding the Middle Ground39:00 - Connect with Dr. Cari Miller on LinkedIn40:15 - Closing Thoughts Connect with Cari: https://www.linkedin.com/in/cari-miller/ See the show archives and sign up for episode updates
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