Showing Posts In "Artificial Intelligence" Category
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 while reducing false positives. It also allows continuous retraining as threats evolve and provides transparency before applying changes. […]
California Finalizes Regulations on Automated Decision‑Making Technology
California has finalized regulations on automated decision-making technology (ADMT), strengthening consumer protections under state privacy law. The rules require businesses to disclose when AI is used in significant decisions, offer opt-out rights, and provide meaningful explanations of outcomes. Companies must also conduct risk assessments and implement safeguards against bias. The regulations increase transparency, accountability, and […]
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 data-protection laws. Organizations are investing in risk assessments, audits, and governance frameworks to ensure AI usage aligns […]
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 past traditional screening tools, creating what industry experts call an authentication crisis in hiring. Overall, keyword-based screening systems […]
TazWorks Launches AI-Powered Decisioning to Accelerate and Improve Accuracy of Key Background-Screening Workflows
TazWorks has launched an AI-powered decisioning capability within its InstaScreen platform by integrating the Cerebrum Synapse engine. The system automates parts of background-screening workflows for consumer reporting agencies by analyzing criminal records, identifying relevant jurisdictions, and applying reporting rules. It provides recommendations with audit trails while leaving complex cases to human reviewers. The technology can […]
Groundbreaking Lawsuit Tests Whether AI Hiring Tools Trigger FCRA Compliance
A proposed class action lawsuit filed in California challenges whether AI-powered hiring tools must comply with the Fair Credit Reporting Act (FCRA). The case targets Eightfold AI, alleging its software collects extensive personal data — such as LinkedIn profiles, online activity, and other public information — to evaluate job applicants without their consent. Plaintiffs argue […]
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 performance management and other workforce functions. In 2026, these tools are no longer experimental; some companies are embedding them in core HR functions. At the same time, lawmakers, regulators, and plaintiffs’ attorneys are rapidly escalating scrutiny of employers’ use of […]
Job Applicants Sue AI Screening Company for FCRA Violations: 5 Key Takeaways for Employers
Two job applicants filed a class action lawsuit against AI screening company Eightfold AI, alleging violations of the Fair Credit Reporting Act (FCRA) and California consumer protection laws. Plaintiffs claim the platform created detailed candidate reports without proper disclosure, authorization, or opportunities to review them, potentially affecting hiring decisions. The case argues that AI-generated assessments […]
The AI Paradox in Candidate Screening and Vetting
AI in candidate screening is a paradox: it enables sophisticated fraud (like deepfakes and fabricated identities) while also offering tools to detect such deception. Many organizations still rely on outdated, manual processes and are unprepared for rising AI-driven threats to hiring integrity. To combat this, employers must adopt tech-driven screening solutions (AI liveness tests, facial […]
How AI and Human Expertise are Converging to Reshape Modern Background Screening Without Losing Trust or Integrity
Artificial intelligence is transforming background screening by speeding up data analysis and uncovering insights at scale, while human experts provide context, ethical judgment, and oversight to maintain fairness and trust. Combining AI’s efficiency with human review helps enhance accuracy, reduce bias, and ensure compliance with legal standards. This hybrid approach aims to build confidence among […]
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