Candidate Experience
The Résumé Is Not Enough: Why Applicant Tracking Systems Need Better Talent Data
Applicant Tracking Systems have made hiring easier to manage, but they still rely on incomplete résumés and inconsistent data. LERs, talent passports, and contextual evidence can help employers understand candidates more fully while preserving human judgment and candidate agency.
Balancing the Promise and Peril of AI-Generated Personal Statements with UTPs.
AI can help people reflect, write, translate, and communicate—but it should never manufacture the life behind the words. Explore how truth, evidence, voice, provenance, and individual review can keep AI-supported personal statements authentic.
AI and Data Standards Can Improve Skills-Based Hiring—But Only With Human Context
AI and data standards can make skills-based hiring more structured, portable, and transparent—but they cannot make it fair on their own. Learn how human context, evidence, agency, and accountable judgment complete the system.