Uploaded July 2026 | Updated September 2026, 1 week ago
In this episode of Beyond the Blueprints, Chad Jennings, Global Head of Customer Voice and Product Experience at IBM, sits down with Dr. Dave Myers, Chief Scientist at Knockri, to explore how AI is helping organizations make hiring more fair, consistent, and evidence-based.
Hiring decisions are among the highest-stakes decisions organizations make. Dave explains how Knockri combines behavioral science, industrial-organizational psychology, and AI to create structured hiring processes that reduce bias, improve consistency, and help organizations make better talent decisions at scale.
The conversation explores how Knockri built an enterprise-grade AI platform using IBM watsonx, watsonx Orchestrate, governance capabilities, and runtime AI services to deliver explainable, auditable, and trustworthy hiring workflows. You'll also hear why fairness, governance, and human oversight are essential when deploying AI in high-impact HR applications.
00:00 – Introduction
00:30 – Meet Dr. Dave Myers
01:09 – Why Hiring Needs Better Science
02:34 – Fairness, Prediction & Hiring Decisions
05:54 – Why Specialized AI Agents Outperform One Big Model
08:03 – Functional & Agentic Decomposition
10:09 – Explainability, Governance & Human Oversight
13:24 – Designing AI for Enterprise Hiring
16:51 – Inside the AI Architecture
19:35 – Orchestrating Enterprise Hiring Workflows
21:51 – Runtime Services & AI Execution
23:17 – Governance, Security & Responsible AI
26:35 – Why IBM
27:14 – Lessons Learned from Building Enterprise AI
32:16 – The Future of AI-Powered Talent Decisions
34:00 – Closing Thoughts
In this episode of Beyond the Blueprints, Chad Jennings, Global Head of Customer Voice and Product Experience at IBM, sits down with Dr. Dave Myers, Chief Scientist at Knockri, to explore how AI is helping organizations make hiring more fair, consistent, and evidence-based.
Hiring decisions are among the highest-stakes decisions organizations make. Dave explains how Knockri combines behavioral science, industrial-organizational psychology, and AI to create structured hiring processes that reduce bias, improve consistency, and help organizations make better talent decisions at scale.
The conversation explores how Knockri built an enterprise-grade AI platform using IBM watsonx, watsonx Orchestrate, governance capabilities, and runtime AI services to deliver explainable, auditable, and trustworthy hiring workflows. You'll also hear why fairness, governance, and human oversight are essential when deploying AI in high-impact HR applications.
00:00 – Introduction
00:30 – Meet Dr. Dave Myers
01:09 – Why Hiring Needs Better Science
02:34 – Fairness, Prediction & Hiring Decisions
05:54 – Why Specialized AI Agents Outperform One Big Model
08:03 – Functional & Agentic Decomposition
10:09 – Explainability, Governance & Human Oversight
13:24 – Designing AI for Enterprise Hiring
16:51 – Inside the AI Architecture
19:35 – Orchestrating Enterprise Hiring Workflows
21:51 – Runtime Services & AI Execution
23:17 – Governance, Security & Responsible AI
26:35 – Why IBM
27:14 – Lessons Learned from Building Enterprise AI
32:16 – The Future of AI-Powered Talent Decisions
34:00 – Closing Thoughts
