Traditional reference checks are no longer sufficient for employers trying to verify job candidates. While asking “when can we contact your references?” was once a standard step, it has become less reliable due to fabricated references, coached responses, and…
Posts by Category: Artificial Intelligence Fraud
Resume Fraud: The Shocking Cost of Who You May Be Hiring
Resume fraud is becoming increasingly costly and sophisticated, driven by AI tools that make fake credentials and work histories easier to create. It highlights how employers often fail to detect misrepresentation during hiring, leading to bad hires that cost…
Fingerprint Unveils AI-Enhanced Suspect Score to Combat Evolving Fraud Schemes
Fingerprint has introduced an AI-enhanced “Suspect Score” to improve fraud detection by replacing static models with adaptive machine learning. The system trains on each customer’s own labeled data, optimizing signal weighting to better reflect unique fraud patterns…
Companies Work to Navigate Operational, Legal Challenges Associated with AI In HR Systems
Companies are grappling with operational and legal challenges as they implement AI in HR systems. While AI tools can streamline hiring, performance management, and employee monitoring, they also raise concerns about bias, discrimination, and compliance with labor and…
Can AI Detect Its Own Fake Resumes? New Technology Fights Back Against Synthetic Job Applications
Nearly 70% of companies plan to incorporate AI into recruitment processes without human oversight by 2025, according to a recent Resume Builder survey of business leaders. This automation surge coincides with an unprecedented problem: AI-generated resumes that slip…
AI Trends for 2026 – Navigating the Patchwork of Laws and Risks When Using AI Tools
Employers are increasingly deploying AI tools to streamline key HR functions, from resume screening to performancemanagement and other workforce functions. In 2026, these tools are no longer experimental; some companies areembedding them in core HR functions. At the…
AI Fuels Surge in Data Privacy Investments and Redefines Governance
Cisco’s 2026 Data and Privacy Benchmark Study finds that AI adoption is driving major increases in data privacyinvestment, with 90% of organizations expanding privacy programs and 93% planning further spending to supportresponsible AI. Robust privacy and governance…
Five Things Employers Need to Consider as Background Screening Shifts in 2026
Employers face evolving background screening challenges in 2026 due to AI use, rising fraud, and tighter regulation.AI can speed screening but must be paired with human judgment. Rising sophisticated fraud means stronger checksare needed. One-time pre-hire screening…
The AI Paradox in Candidate Screening and Vetting
AI in candidate screening is a paradox: it enables sophisticated fraud (like deepfakes and fabricated identities) whilealso offering tools to detect such deception. Many organizations still rely on outdated, manual processes and areunprepared for rising AI-driven…
Litigation Risks Increase as More Employers Use AI Tools in Hiring Decision-Making Process
AI use in hiring, such as résumé screening and interview scheduling, is growing but poses legal risks. The Mobley v.Workday lawsuit alleges AI discrimination based on protected traits, moving forward as a collective action. Similarcases, like EEOC’s $365,000…







