AI is now writing job ads, screening applicants, scheduling interviews, and deciding who gets in front of a human. But as recruiting becomes more automated, one uncomfortable question hangs in the air: Do candidates still trust us?
In this discussion we can explore how organizations can deploy AI in hiring responsibly, not just efficiently, and how transparency, communication, and design choices will shape candidate trust in 2026. We’ll go beyond ethics theory to look at what’s actually working inside progressive TA teams.
The Trust Gap: Why job seekers are skeptical of AI-driven recruiting and how it impacts application rates and offer acceptance.
Transparency as a Differentiator: The companies that disclose their AI use and actually gain candidate trust instead of losing it.
Bias, Fairness, and the Myth of Objectivity: How to communicate how your AI tools work (and what they don’t do).
Human-in-the-Loop Hiring: Where human oversight adds credibility — and where it’s just performative.
The Candidate Experience Rewrite: How to make automated touchpoints feel personal, respectful, and authentic at scale.
2026 and Beyond: What new regulations, certifications, and global standards could mean for how TA leaders explain AI to candidates.