Hiring, Cheating, and the AI Dilemma

Описание: 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 Background
0:50 - Dr. Cari Miller's Research on AI & Worker Impacts
3:00 - Academic Integrity vs. AI Literacy Debate
5:00 - Defining AI "Cheating" in Education
5:40 - Domain Knowledge & Copyright Considerations
6:50 - Spell Check Analogy: Tools vs. Cheating
11:00 - The Hiring Double Standard
12:30 - Should We Test Candidates on AI Skills?
13:50 - 61% of Jobs Don't Match Interview Descriptions
15:20 - The Broken Application Process
17:30 - Emotional Toll of Job Searching
18:00 - Networking & Volunteer Work Strategy
19:40 - Ben's Story: Volunteering to Break Into HR
21:20 - Genuine vs. GPT: When Does AI Feel Like Cheating?
23:30 - Disclosure & Context Matter
25:00 - Survey Results: What Employers Consider Cheating
27:00 - The AI Arms Race in Job Applications
30:00 - The Entry-Level Crisis
30:50 - Learning in the File Room: Foundation Skills
32:00 - Junior vs. Senior Workers Using AI
33:00 - The DOS to Windows Analogy
35:30 - CEOs vs. Managers: Who Decides on AI?
36:30 - AI Procurement & Process Design
38:30 - Finding the Middle Ground
39:00 - Connect with Dr. Cari Miller on LinkedIn
40:15 - Closing Thoughts






Connect with Cari:   / cari-miller  


 

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