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Psych Tech @ Work

Psych Tech @ Work

Von: Charles Handler
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 Science 4-Hire is now Psych Tech @ Work! - a podcast about safe innovation at the intersection of psychological science, technology, and the future of work. Psych Tech @ Work promotes safe technological innovation and human/machine partnerships as an essential force in creating equilibrium and between psychology and commerce. Maintaining this balance in a time of unprecedented change is essential for ensuring that the future of work is ethical, positive, and prosperous. Creating such a future requires an unprecedented level of interdisciplinary collaboration. With the goal of educating, engaging, and inspiring others through thoughtful and practical discussions with guests from a wide variety of backgrounds and specialties, Psych Tech @ Work provides a smorgasbord of food for thought and practical takeaways about the issues that will make or break the future of work!

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  • Why Recruiting Tech is (Still) Not Helping Candidates and How to Fix It

    Why Recruiting Tech is (Still) Not Helping Candidates and How to Fix It
    Jan 19 2026
    “There’s this massive imbalance between the employer side of the recruiting equation where they’ve got all the tech, they’ve got all the weapons… Candidates don’t have anything.”–Doug BergIn this episode, I’m joined by Doug Berg, head matcher and big kahuna at Match2, a longtime builder and operator in the talent technology/recruitment space and the only guy I know that wears flip flops to HR Tech..Doug has lived and hacked nearly every iteration of online hiring — from fax machines and early internet job fairs to today’s AI-powered recruiting chaos.Doug and I have lived parallel lives in some sense. We have both been on the scene as recruitment went on-line and have continued to wage war against the barriers that are blocking successful hiring. But Doug’s unique experience building recruiting focused tech helps us take a very well rounded perspective.Doug and I trace the psychology of hiring systems, why most recruiting technology still fails both candidates and employers, and how efficiency-driven design has quietly stripped humanity out of the process.We talk about what broke, why AI is making some problems worse before it makes them better, and what a candidate-centered future could actually look like if we stop designing hiring like a transactional funnel and start designing it like a relationship.Topics Discussed & Key Insights1. Hiring Has Always Been Psychological — Ignoring That Is Why It BreaksDoug shares early recruiting stories that reveal a core truth: people don’t make job decisions based solely on skills or titles. They’re driven by values, aspirations, lifestyle preferences, and identity. Yet most hiring systems still treat people as static records instead of dynamic humans.Music to the ears of a psychologist like me!2. Applicant Tracking Systems Were Built for Control, Not for CandidatesWe unpack how applicant tracking systems were designed for compliance and efficiency — not engagement. The result:* One-way transactions* Forced applications* Zero room for curiosity, context, or conversationDoug explains why this original design choice still haunts modern hiring.3. AI Isn’t Breaking Hiring — It is Amplifying the Broken PartsAI didn’t invent hiring dysfunction — it amplified it. Candidates now apply to dozens of jobs at once using bots. Employers respond with more screening, more filters, more automation.The outcome? More noise. Less signal. Worse experiences on both sides.4. Real Hiring Happens Through Interaction, Not “Efficiency”Doug tells stories about simple interventions — like proactive chat on career sites — that led to real hires for impossible-to-fill roles. The lesson is clear: when candidates are allowed to participate instead of comply, hiring actually works.5. Hiring Will Stay Broken Until Candidates Control Their Side of the SystemOne of the central ideas in the episode: candidates have never been given real agency. Doug explains the structural imbalance:* Companies control the systems* Candidates adapt or disappearWe explore what changes when candidates control their own data, preferences, and relationships — and why that shift matters.6. The Resume Is a Dead Artifact — Identity Needs to Be PortableResumes are outdated snapshots. Doug makes the case for living profiles, portable personalization, and persistent relationships that move with the candidate across employers.AI finally makes this possible — not by enforcing rigid taxonomies, but by interpreting relevance across skills, experience, and context.7. The Future of Hiring Should Feel Like Reconnection, Not RejectionWe close by zooming out. Doug shares a simple but radical vision: if someone gets laid off on Friday, they shouldn’t start from zero.They should already know:* Who wants them* What they’re worth* Where they fitHiring shouldn’t feel like rejection roulette. It should feel like an intelligent market reconnecting human supply and demand.Final TakeawayHiring doesn’t fail because people are hard to assess.It fails because we designed systems that ignore how people actually choose, trust, and engage.AI won’t fix that on its own.But used thoughtfully — with psychology, agency, and dignity baked in — it might finally help us build hiring systems that work for humans again. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit charleshandler.substack.com
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    48 Min.
  • AI Education, Personalized Learning, and the Future of Work

    AI Education, Personalized Learning, and the Future of Work
    Dec 19 2025
    TL;DRAI literacy is becoming a baseline skill. This episode explores how organizations and individuals are actually building AI capability at work, with a focus on:* Self-directed learning and AI education at scale* Personalized learning journeys versus one-size-fits-all training* The shift from basic AI use to agentic workflows* The role of human strengths—creativity, judgment, and adaptability—in an AI-driven workplaceIn this episode, I’m joined by Erica Salm Rench, an AI educator and leader at Sidecar AI.Sidecar is an AI education platform and learning management system (LMS) designed to help organizations educate their employees on AI through self-directed learning. It combines structured courses, role-based learning paths, and hands-on use cases so individuals can build AI capability at their own pace while organizations raise overall AI fluency.Our conversation explores what AI education actually looks like beyond hype—how people are learning it, how organizations are rolling it out, and why understanding AI is quickly becoming a career differentiator rather than a technical specialty.AI Education Has Shifted from “What Is It?” to “How Do I Use It?”Erica explains that the conversation around AI in associations has changed dramatically over the last several years. Early on, organizations were hesitant to even talk about AI. Today, the question is no longer what is AI? but how can we use it to advance our mission, improve operations, and better serve our members?That shift brings a new challenge: helping people move from curiosity to competence in a way that feels approachable rather than overwhelming.Meeting People Where They AreOne of the strongest themes in our discussion is the importance of meeting learners at their current level of comfort and knowledge. AI education isn’t one-size-fits-all.This means combining:* Foundational AI concepts* Role-specific applications (marketing, events, operations)* A growing library of real-world use cases* Ongoing updates as tools evolveThe goal isn’t to turn everyone into a AI engineer—it’s to help people understand what’s possible and apply AI meaningfully in their day-to-day work.From Prompting to Agentic WorkWe spend time talking about the evolution from simple AI use cases—like writing emails or summarizing content—to agentic AI, where systems take action on a user’s behalf.This shift matters because it fundamentally changes how work gets done. Instead of just assisting with tasks, AI begins to:* Automate multi-step workflows* Scale work that previously required human labor* Act as a force multiplier rather than a one-off toolWe agree that while much of this is still clunky today, the direction is clear: agents are becoming a core part of how work will be organized.Personalized Learning Is the Future of EducationA major insight from the episode is that personalized learning journeys will define the next phase of education—especially in fast-moving domains like AI.Erica describes how Sidecar uses AI within its learning environment to:* Act as a learning assistant* Answer questions in real time* Reinforce concepts* Help learners connect theory to applicationThis mirrors a broader trend: education becoming less about static courses and more about continuous, adaptive support.The Psychology of Learning AI at WorkWe talk openly about fear—fear of job loss, fear of falling behind, fear of not being “technical enough.” Erica makes the case that leaders have a responsibility to educate their teams, not just for organizational performance, but for people’s long-term career resilience.From a psychological perspective, AI education:* Reduces anxiety by replacing uncertainty with understanding* Increases confidence and autonomy* Helps people see AI as a collaborator, not a threatSpending even 20–30 minutes a day learning AI can quickly change how people see their own future at work.Human Strengths Still Matter More Than EverOne of my favorite parts of the conversation is where we zoom out to the human side of all this. As AI removes technical barriers, the differentiator becomes human qualities—creativity, resilience, judgment, adaptability, and the ability to ask good questions.AI doesn’t replace these traits. It amplifies them.Used well, AI allows people to overcome past limitations, work around weaknesses, and bring their ideas to life faster than ever before.What Listeners Should Take AwayAI literacy is becoming a baseline skill. The people who thrive won’t be the most technical, but the most curious, adaptable, and intentional about learning how to work alongside intelligent systems.Education—done thoughtfully and continuously—is the bridge between fear and opportunity.Where to Find EricaErica is highly active on LinkedIn and can be found through Sidecar AI, where she and her team are building education-first pathways into AI for associations, nonprofits, and mission-driven organizations. This is a public ...
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    44 Min.
  • Jobs, Security, and Survival: Is Universal Basic Income in our Future?

    Jobs, Security, and Survival: Is Universal Basic Income in our Future?
    Nov 21 2025
    Conrad Shaw “So much of the labor market is driven by desperation. UBI shifts that. People can actually hold out for what they’re worth or for work that aligns with who they are.” — Conrad ShawConrad is perhaps the most unique guest I have had in the 5 year history of this show and he is on to talk about Universal Basic Income (UBI) , a very unique topic that is growing in exposure.For almost a decade Conrad has dedicated his life and career to furthering the cause of Universal Basic Income (UBI).In 2016 he and his wife started a documentary called Bootstraps which focuses on following families who lived through the experience of a basic income.Since then, he has:* Fundraised for and operated a nationwide basic income pilot* Filmed a multi-year docuseries currently in post-production* Co-founded Commingle, a mutual-aid platform enabling communities to self-fund their own grassroots basic income systems* Worked extensively on messaging, outreach, and public education around income, stability, and societal transformationI learned a lot from Conrad and our conversation debunked my own myths about UBI. So a really important part of this episode is the truth about what Universal Basic Income (UBI) actually is — and what it is not.What Universal Basic Income (UBI) Is — And What It Isn’tUBI is the idea that every person receives a recurring, unconditional, baseline income — a financial floor that ensures no one starts the month at zero. It is not meant to replace work or equalize everybody’s income. Instead, it shifts the starting point so people can make decisions from stability rather than desperation.What UBI is:* A stable, universal base-level income for all* A platform for economic mobility and personal freedom* A modernized, simplified social safety net* A tool for reducing the survival-based pressure in the labor marketWhat UBI is not:* It does not eliminate jobs* It does not cap how much people can earn* It does not remove incentives to work* It is not a socialist equal-wealth systemUBI reframes the labor market so people compete for work based on interest, alignment, and ability, not raw financial need.Practical Ways UBI Could WorkConrad’s work goes beyond speculation. He has spent nearly a decade building practical UBI experiments, including the national pilot documented in Bootstraps (2016) and his current role with the Income To Support All Foundation and Commingle, a new community-driven model.He explains that UBI can be implemented through several pathways—government programs, private pilots, or community-level mutual aid—but none are simple. A government-led UBI requires political will and rethinking how we allocate resources. Philanthropic pilots can demonstrate impact, but they’re temporary. Community models like Commingle allow people to pool and redistribute resources now, without waiting for legislation, but scaling them is challenging.What’s clear is that executing UBI at any level is difficult, requiring trust, infrastructure, and cultural acceptance. Yet the difficulty doesn’t diminish the need. Instead, it underscores why experimentation and new models matter.Individual Differences: Why UBI Supports People Doing What They’re Meant to DoOne of the deepest connections between Conrad’s work and mine is the concept of individual differences—the idea that every person brings a unique constellation of strengths, traits, interests, and abilities that make them naturally better suited to certain kinds of work.When people are trapped in survival mode, those natural gifts often go unused. They pick jobs they can get, not jobs that reflect who they are. Freedom from this paradigm reshapes careers in ways that benefit both individuals and employers, allowing people to walk away from toxic or exploitative conditions and take jobs they genuinely care about, leading to better performance and engagement.With a secure foundation, people have the psychological and financial freedom to make career decisions based on fit, not fear. This supports:* Better alignment between person and role* Higher engagement and intrinsic motivation* Better workforce outcomes because people choose work that matches their abilities* Greater societal value, as more people apply their genuine talents instead of defaulting to whatever job pays immediatelyFrom Conrad’s perspective, this alignment is one of the most compelling aspects of UBI. When people are free to choose work that resonates with their abilities, the labor market becomes more efficient and more human. Employers gain workers who actually want to be there. Individuals gain a sense of purpose rooted in their authentic strengths.In a world where AI, automation, and job volatility make career paths uncertain, helping people express their natural abilities becomes more important—not less.How AI Fits Into the UBI ConversationAI enters this conversation as both a catalyst and a complicating force. As Conrad points out, ...
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    56 Min.
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