2025-12-10 –, Machine Learning & AI
Modern AI tools are increasingly used by candidates to cheat during technical interviews — often in real time. This talk explores how these tools work, which interview formats are most vulnerable, and how to design assessments that accurately reveal a candidate’s true technical ability. Ideal for hiring managers and engineers involved in technical assessment.
With the rise of advanced LLMs and real-time transcription tools, technical interviews are no longer immune to cheating. Candidates can now leverage covert prompting, hidden devices, or even augmented reality to get AI-powered assistance mid-interview — often without being detected.
This talk outlines the evolving landscape of AI-assisted interview cheating and offers practical advice on how to design interviews that are resistant to such methods. Topics include:
• Real-world examples of how AI is used to cheat (from screen mirroring to AR glasses)
• Breakdowns of vulnerable interview formats — from take-home assignments to live coding
• Guidelines for designing “AI-resistant” interviews that test actual knowledge and reasoning
• Ethical concerns and balancing fairness with rigor
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Tech lead in AI & ML systems. Passionate about GenAI, NLP, and making data science work in the real world.