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Science 4-Hire

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by Charles Handler

4.3(3 reviews)
110 episodes
Updated Weekly
Accepts GuestsHas SponsorsLocation 🇺🇸
58

Podcast Authority

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FairBased on show quality, social media presence, reviews, charts, and more
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Quality83
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Engagement81
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Podcast Overview

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! <br/><br/><a href="https://charleshandler.substack.com?utm_medium=podcast">charleshandler.substack.com</a>

Language

🇺🇲

Publishing Since

12/4/2018

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58

Podcast Authority

Beta
FairBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality83
Social0
YouTube0
Engagement81
Learn more
8
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10
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excellent
Episode Length
48 minutes
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good
iTunes Tags
6.5/10

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Recent Episodes

Episode thumbnail for You Bought the AI. So Why Aren't You Using It?

June 29, 2026

You Bought the AI. So Why Aren't You Using It?

Host Charles Handler interviews Nicole Mundy, Senior Research Analyst at Talentech Labs, about why companies struggle to adopt AI hiring tools effectively, revealing insights into validation and skills-based hiring.

Episode thumbnail for “The answer isn’t more AI — it’s better signal.”

June 4, 2026

“The answer isn’t more AI — it’s better signal.”

Host Charles Handler interviews Robert Newry, Founder & CEO of Arctic Shores, exploring how to find truth in hiring amidst AI-generated chaos and unreliable signals.

Episode thumbnail for Going All In: Using AI to Build Better Assessments

April 27, 2026

Going All In: Using AI to Build Better Assessments

<p>“By the time you dot the final I’s and cross the final T’s, the assessment is already out of date.”</p><p><strong>— Taylor Sullivan</strong></p><p><strong>Episode Overview</strong></p><p>In this episode I’m joined by rising I/O rockstar <a target="_blank" href="https://www.linkedin.com/in/tsullivanphd/"><strong>Taylor Sullivan</strong></a>, IO psychologist and the architect of Workera’s assessment strategy. With Taylor’s guidance Workera, a verified skills intelligence platform, is doing something most of the industry is still afraid to do: going all in on using AI to build, deliver, and validate AI-based assessments.</p><p>Taylor and I (and my AI co-host Mayda Tokens) dig into how this actually works, why it’s scientifically defensible, and why the industry needs to stop waiting and start moving.</p><p><strong>Topics Discussed & Key Insights</strong></p><p><strong>1. Traditional Assessment Development Is Already Broken</strong></p><p>By the time a traditional assessment clears all the I-dotting and T-crossing, it’s often already out of date. AI changes that — enabling dynamic content generation, richer construct understanding, and real-time iteration that keeps pace with how work actually evolves.</p><p><strong>2. Codifying Measurement Science Into a Multi-Agent System</strong></p><p>Workera didn’t just bolt AI onto existing processes. They embedded IO psychology’s core principles — evidence-centered design, validity frameworks, job analysis — directly into a multi-agent authoring system. Experts define the standards. Agents execute to those standards. The science drives the machine, not the other way around.</p><p>Here’s a brief sketch of how it works in practice</p><p>* <strong>Define the purpose</strong> — Tell the agent what you’re measuring and why. This grounds everything that follows.</p><p>* <strong>Extract the construct</strong> — The agent probes the skill space using critical incident techniques, identifying what great performance actually looks like.</p><p>* <strong>Design the assessment</strong> — The agent selects question formats (multiple choice, drag and drop, voice interaction, sequencing) based on what will best elicit evidence of the skill.</p><p>* <strong>Automated quality review</strong> — Before anything goes live, the system checks for bias, language issues, and content alignment to the original skill definition.</p><p>* <strong>Monitor and improve</strong> — Once deployed, the agent tracks response patterns, flags problems, and learns from score appeals adjudicated by humans.</p><p>The skill domain is flexible — it works for cheeseburgers or cybersecurity. The methodology behind it is the same either way.</p><p><strong>3. The “Harness” — Why This Is Safe</strong></p><p>The key to responsible agentic AI isn’t less autonomy — it’s a well-designed harness (the constrained ecosystem where the agents do their thing). Human experts define what good looks like, set quality thresholds, and build in escalation points. The agents work within those constraints and loop back when they hit uncertainty. As Taylor puts it: “It’s not running completely autonomously unchecked.”</p><p><strong>4. This Is About Development, Not Just Hiring</strong></p><p>Workera’s primary focus is post-hire — workforce development, upskilling, and learning. Once an assessment identifies verified gaps in a person’s skills, the platform connects those gaps directly to personalized learning plans, curating from an organization’s existing content library. Two people can get the same score on an assessment and walk away with completely different development paths based on their specific pattern of strengths and gaps.</p><p><strong>5. Verified Skills Intelligence — What It Actually Means</strong></p><p>In a world where AI can write a perfect resume and LinkedIn profile for anyone, credentials are noise. Verified skills intelligence cuts through that — using assessment to generate actual evidence of what someone can do, fit for the stakes of the decision being made.</p><p><strong>Final Takeaway</strong></p><p>The tools to move beyond multiple choice, beyond static assessments, and beyond slow validation cycles exist today. The bottleneck isn’t technology — it’s the will to trust well-designed systems. When the science is built into the machine from the start, speed and rigor aren’t in conflict. They’re the same thing.</p> <br/><br/>This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit <a href="https://charleshandler.substack.com?utm_medium=podcast&#38;utm_campaign=CTA_1">charleshandler.substack.com</a>

110 total episodes available with 10 transcripts

Recent guests on Science 4-Hire

Guests from recent episodes — sign up to see every guest that has ever appeared on this show.

Nicole Mundy

Guest

Robert Newry

Guest

Nathan Mondragon

Guest

Conrad Shaw

Guest

Ashley Walvoord

Guest

Madeline Laurano

Guest

Alexis Fink

Guest

Jimmy Lepore Hagan

Guest

Christine Boyce

Guest

Bob Pulver

Guest

Jason Tyszko

Guest

Jeff Taylor

Guest

See every guest on Science 4-Hire

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What is Science 4-Hire?

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! <br/><br/><a href="https://charleshandler.substack.com?utm_medium=podcast">charleshandler.substack.com</a>

How often does this podcast release new episodes?

This podcast updates weekly.

Where can I listen to this podcast?

This podcast is available on 10 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

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