AI Fraud & The Death of the Resume: Restoring Algorithmic Trust NYC
Candidates are deploying advanced, hyper-automated AI agents to mass-apply to hundreds of open roles instantly, reverse-engineer corporate Applicant Tracking Systems (ATS), auto-generate perfect skill matches, and deploy deepfake technology to bypass initial technical screenings.
HR departments and engineering teams are drowning in a sea of algorithmic noise. As talent pipelines become flooded with AI-polished fraud, a staggering percentage of enterprise managers report that total trust in the inbound pipeline has completely eroded.
In this high-stakes security and talent briefing, Dr. Rachel Levitch—seasoned Chief Information Security Officer (CISO) and founder of the Cognitive Institute—shifts the conversation from simple recruitment metrics to hard-line Systems Security and Information Integrity.
We will move beyond the traditional interview structure to explore the mechanics of modern algorithmic fraud, the vulnerabilities of automated screening systems, and the implementation of secure identity and skill verification frameworks. This session provides human resource executives, tech founders, and venture capitalists with the exact tactical roadmap required to bypass synthetic candidate noise, protect personal data privacy, and restore institutional trust in a market-led crisis.
Key Takeaways for Attendees:
The AI Vulnerability Audit: A live technical breakdown of how 2026 AI-auto-apply bots actively breach, manipulate, and exploit corporate ATS filters.
Detecting the Synthetic Candidate: Concrete, practical strategies for talent acquisition teams to identify AI-forged certifications, deepfake video setups, and automated resume stuffing.
Rebuilding the Trust Chain: Transitioning your organization toward zero-trust recruitment frameworks, secure identity verification, and authentic human-sustainability metrics.
Media Synopsis: Dr. Levitch’s Recent Analysis
Her research on the "hiring arms race" and its impact on human sustainability has been featured in the following outlets:
National Review: Her work in this prestigious outlet explores the paradox of AI efficiency, arguing that while automation accelerates processes, it offloads significant emotional and creative labor onto individuals—work that is essential for employability but often excluded from formal recognition.
TechBullion: Featured as a leading voice on digital friction, her insights here focus on the "feedback vacuum" created when candidates and recruiters both use AI, resulting in a system that overwhelms both sides and erodes mutual trust.
Big Tech News: Dr. Levitch’s commentary in this space highlights the "algorithmic exclusion" facing sidelined workers. She discusses the systemic threat to human sustainability posed by "AI Brain Fry" and the need for a recalibrated approach to executive functioning in a tech-saturated market
Event Links
Tickets: https://go.evvnt.com/3684388-0
Website: https://go.evvnt.com/3684388-2
