Psych Tech @ Work

Psych Tech @ Work follows the fast collision of AI, psychology, and the modern workplace. Dr. Charles Handler leads conversations with researchers, HR technology leaders, learning specialists, and workplace thinkers. The show is loose in delivery but serious in subject matter. Its main concern is whether new technology can improve work without flattening the human beings inside it. Episodes return often to hiring, assessment, skills, candidate experience, AI adoption, and the responsibilities that come with automated decision-making. The strongest conversations resist easy answers. A discussion about AI-generated assessments becomes a question about reliability, validity, simulation design, scoring, and fairness. A recruiting technology episode turns into a critique of systems that still make candidates do too much work for too little return. A skills-based hiring conversation gets practical about job architecture, messy skills data, vendor tools, and the difference between slogans and implementation. The show also widens its frame. Universal basic income appears as a serious future-of-work topic, tied to job insecurity, purpose, economic pressure, and the possibility that automation changes what work is for. AI education gets treated as a cultural and organizational problem, not just a training module. Adoption becomes a human problem. Play, creativity, fear, confidence, and curiosity all matter. Handler’s style is conversational, sometimes exuberant, and willing to wander into music, coffee shops, conference travel, or odd experiments with an AI co-host. That informality gives the show texture without replacing the substance. The recurring value is translation. Psych Tech @ Work takes ideas that are often trapped in vendor claims, research, or HR conference panels and makes them discussable. It is not a hype show. It is not anti-technology either. It is built for listeners who want AI at work to be useful, ethical, evidence-based, and humane.