๐—ข๐—ฟ๐—ฎ๐—ฐ๐—น๐—ฒ ๐—™๐˜‚๐˜€๐—ถ๐—ผ๐—ป ๐—›๐—–๐—  ๐Ÿฎ๐Ÿฒ๐—” | ๐—”๐—œ-๐—ฝ๐—ผ๐˜„๐—ฒ๐—ฟ๐—ฒ๐—ฑ ๐—–๐—ฎ๐—ป๐—ฑ๐—ถ๐—ฑ๐—ฎ๐˜๐—ฒ ๐—”๐˜‚๐˜๐—ต๐—ฒ๐—ป๐˜๐—ถ๐—ฐ๐—ถ๐˜๐˜† ๐—–๐—ต๐—ฒ๐—ฐ๐—ธ๐˜€

Hiring at scale comes with a new challenge: How do you confidently identify genuine candidates in an age of AI-generated profiles?

With 26A, Oracle enhances the Job Applicant Screening Advisor Agent with AI-powered candidate authenticity verification.

๐—ช๐—ต๐—ฎ๐˜โ€™๐˜€ ๐—ฒ๐—ป๐—ต๐—ฎ๐—ป๐—ฐ๐—ฒ๐—ฑ?

The agent now:

โœ”Analyses candidate profiles and resumes using multiple given and derived signals

โœ”Detects potential fraudulent or AI-generated submissions

โœ”Applies a customisable authenticity rubric

โœ”Delivers an authenticity score (0-10) with a clear explanation

โœ”Recommends actionable next steps for recruiters

๐—•๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ ๐—ถ๐—บ๐—ฝ๐—ฎ๐—ฐ๐˜

โœ” Automatically flags high-risk or suspicious applications

โœ” Reduces manual screening effort for recruiters

โœ” Improves quality of shortlists and hiring decisions

โœ” Brings transparency into AI-driven screening

โœ” Aligns with responsible AI & governance principles

This enhancement is a great example of responsible AI in action – not replacing recruiter judgment, but augmenting it with explainable, configurable intelligence.

A great example of how AI agents can solve real hiring challenges when designed with trust, clarity, and accountability at the core.

Curious to see how organisations will tune these rules based on roles and geography.

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