Human Judgment in the Age of Artificial Intelligence
Updated: 7 days ago
Author: Ammie Sims
Published by Intersecting Visions Foundation
Research Publication HI-RP-2026-002
Human Integration™ Research Library
Why Increasing Technology Capability Makes Human Development More Important
Publication Information
Publication | HI-RP-2026-002 |
Research Area | Human Development & Technology |
Author | Ammie Sims |
Publisher | Intersecting Visions Foundation |
Publication Date | August 2026 |
Reading Time | 10-12 minutes |
Version | 1.0 |
Publication Type | Research Publication |
AI Will Give Us Extraordinary Capability. Humans Will Provide Judgment.
Artificial Intelligence Will Help Us Do Things We Couldn’t Do Before.
What We Do With That Help Is Up to Us.
EXECUTIVE SUMMARY
AI is making us more capable.
Information is synthesized in seconds. Content can be generated almost instantly. Massive datasets can be analyzed faster than ever before. Writing, research, organizing, predicting, analyzing, reasoning, solving problems… Tasks we once considered “thinking work” are increasingly being done with intelligent assistance.
It’s happening quickly. One recent survey by Stanford University’s 2026 AI Index Report found 88% of surveyed organizations were using AI for at least one business function in 2025, and 70% were using generative AI for at least one business function (Stanford Institute for Human-Centered Artificial Intelligence [Stanford HAI], 2026).
With that capability comes opportunity.
AI can automate tedious tasks, make things easier, help us work more efficiently, create more freely, and do things that would’ve been extremely difficult (if not impossible) without it.
…but it also raises questions.
If technology is going to help us do things that used to seem superhuman, what are we left doing as humans? What jobs do we have that become more important—not less important—with AI?
Human Integration™ asks these questions from the perspective that technology and humanity can improve together. Technology’s capabilities don’t automatically dictate what should be done. Just because we can do something with technology doesn’t mean we understand where it belongs. Or when. Or how. Or what consequences should be considered?
We still need humans to apply judgment.
Keywords
Artificial Intelligence • Human Judgment • Human Development • Decision-Making • Critical Thinking • Human-AI Collaboration • Leadership • Responsible AI • Technology
Introduction
We’re entering an age of extraordinary capability.
Tools have always made humans more capable.
The printing press gave us access to written information. Industrialization allowed humans to manufacture goods on a scale we’d never seen before. Computers digitized calculation and communication. The internet gave us access to information and each other.
AI is the continuation of that story. AI systems can now assist with:
Summarization
Analysis
Generation
Prediction
Translation
Organization
Recommendations
Pattern recognition
…the list goes on. According to Stanford’s 20 26 AI Index, AI continues to show improvements in “reasoning, coding, mathematics, multimodal skills, and agentic systems” (Stanford HAI, 20 26). However, AI development has also been described as a “jagged frontier” with systems performing “extraordinarily well on some sophisticated tasks while remaining brittle and unreliable on others” (Stanford HAI, 2026).
That’s significant.
AI is giving us new and powerful ways to think, work, and be productive. But just because technology can help us do something doesn’t mean we should automate everything.
Technology’s growing capability doesn’t replace the need for human judgment.
Developments in automated decision-making have illustrated this concern for some time. In early research on the topic, Skitka, Mosier, and Burdick (1999) found that people who used an imperfect automated decision aid were sometimes willing to accept its recommendations—even when its recommendations conflicted with valid information presented to the user (a phenomenon known as automation bias). Fast forward 20 years, and new research suggests these concerns remain relevant.
GenAI and Decision-Making: A Systematic Review recently analyzed 15 studies about generative AI’s influence on decision-making within organizations. The paper’s authors found effects varied depending on the type of decision. AI had positive effects on some information processing tasks, mixed effects on developing decision alternatives, and overall negative effects on decision choice (Abdul Rahman et al., 2026).
This is just one example, but it highlights an important point: having the capability to do something quickly doesn’t ensure we always know how to use it wisely.
There’s still a lot we don’t know about how humans and AI work best together.
What we do know is that using AI isn’t simply a technical challenge—it presents human challenges we shouldn’t ignore.
As technology continues to evolve, human capacity may become an even greater differentiator than technical know-how. This article begins by considering how that might apply to your organization.
We Are Entering an Age of Extraordinary Capability. AI Will Give Us Extraordinary Capability.
Ready, Set, Zoom!
“Technology is cool!”
We’ve heard that before.
Virtual reality, the cloud, automation, smartphones. Every decade seems to offer a new opportunity to marvel at how technology will change what’s possible.
Artificial intelligence is no exception.
At first blush, AI enables us to do exciting new things. But I don’t think it’s cool because it’s new. I think it’s cool because of what it enables humans to do.
By shouldering tasks once considered exclusively within the domain of human intelligence, AI has the potential to increase what we’re capable of, both individually and collectively.
Zooming in to consider what that means…
Capability Matters.
Human Capability
Artificial Intelligence Is Making Us More Capable.
Quick checks.
Does your computer have a webcam? Can you download files from the internet? Have you ever used Microsoft Word?
If you answered yes to any of the above, AI is helping you do your job.
The algorithms that process your photos, recommend what you should buy, translate text, or send emails are AI. Present-day technology can help us do far more than we often realize.
And it’s going to help us do more still.
That’s exciting, but it also raises an important question: just because technology becomes more capable of doing something… does that mean we should automate everything?
It’s one thing for technology to become more competent. But that doesn’t mean all decisions should be made by machines.
Google can identify objects in a photo faster than most humans. But should it replace people who drive cars?
As we delegate more tasks to AI, we’ll be left with fewer tasks that only people can do. But that doesn’t mean those things will automatically require human judgment.
Determining which tasks should be automated will always require people to use judgment.
Something that may become even more important as we’re able to offload more responsibilities to technology.
The distinction between automation and judgment.
Technology Is Giving Us Extraordinary New Capabilities.
…but Capability Is Not the Same as Judgment.
Before we go any further, let’s get three concepts out of the way:
Say ‘em out loud.
Capability.
Competency.
Judgment.
Similar sounding. Kinda rolls off the tongue together. They’re not the same thing either.
Capability asks:
“What can this technology do?”
Competency asks:
“Can I use this technology well?”
Judgment encourages us to consider a few more questions:
“When should I use technology?”
“When should I ignore it?”
“How much should I trust it?”
Let’s break that down with a quick example.
You can probably think of a few tasks that AI can help you accomplish. Maybe you use Google Maps to get driving directions or a digital assistant to set reminders. AI might be capable of summarizing a lengthy document for you.
You may be competent enough with the technology to request that summary.
But before you hit “send,” you’d better use some judgment.
Is the summary detailed enough?
Did the AI miss anything important?
How reliable is the original source?
What if you share the wrong information?
Do you need to read the whole thing yourself to be sure?
There’s a lot to consider. Technology can summarize text for us. But that doesn’t mean we no longer need to read (or at least skim) things ourselves.
It pushes where we apply judgment.
As technology becomes more capable of doing things humans used to do, we’ll need to shift where we use judgment. Which brings us to another point…
Just because technology can do something doesn’t mean we should automatically embrace it (for all the right reasons).
Useful ≠ Correct.
One reason capability is so exciting is that AI can do things that will save us time.
Take automation. Efficiency is important, and taking unnecessary work off our plates allows us to spend time on other things. That’s a good thing.
But at what cost?
Efficiency solves one set of problems. How can we complete this task with less time and/or resources?
Judgment invites us to ask a different question.
“What are we optimizing for?”
Potentially faster decision-making sounds great until you realize speed isn’t the only value at stake.
What if you automate something that people don’t understand? Or bypass long-held safeguards that once prevented mistakes? Or introduce new consequences that weren’t considered?
We don’t have to look far to find examples of technology providing answers that sounded correct… but weren’t.
“Look both ways before crossing the street.”
“I am not awake.”
“Optimal” decision-making isn’t always perfect just because technology helped us make it faster.
As much as AI can help humans do things quickly…we can also be quickly wrong.
True story.
Efficiency Isn’t the Only Thing we Value.
Which brings me to a very important point:
The National Institute of Standards and Technology (NIST) doesn’t hire people to break down info charts.
They’re a credible source who also happens to have one of the more comprehensive frameworks for managing AI risk I’ve seen.
NIST’s AI Risk Management Framework considers elements of trustworthy AI across several variables, including validity/reliability, safety/security/resilience, accountability/transparency, explainability/interpretability, privacy, and fairness (Tabassi, 2023).
Balancing values is hard.
…and sometimes values will conflict.
That’s why AI doesn’t simply eliminate the need for judgment. It only adds to the number of things we need to use judgment about.
Technology Can Help Us See Things We Overlook. Humans Can Provide Context, Consequence, and Values.
That’s the tricky part.
Technology can identify patterns we’d otherwise miss. But human judgment is needed to consider whether the pattern is meaningful.
Computers can make recommendations. But we still need people to decide if those recommendations make sense.
Technology can show us what’s possible. But it doesn’t tell us what we should do.
This isn’t to say AI is evil or that technology can’t do wonderful things to help people. It can, and does!
Instead, it’s an invitation to consider how we might think about technology differently.
As AI takes on more tasks that are rightly delegated to technology, we’re left with fewer tasks that only humans can do. Where do we use technology? Where do we complement it with human judgment? Where do we rely solely on people?
There’s not enough research to say for sure yet. But I think it’s a question worth asking. I’d love to hear your thoughts below.
Curious. When Technology Does More of the Thinking, What Are We Left Doing?
We delegate work to tools because it’s something people have always done.
Knives are sharp because they can cut things faster than we can with our hands.
Vacuum cleaners suck because they clear rooms more quickly than most humans.
Google can find information faster than we can read.
Technology does things we once had to do for ourselves. Automation can solve problems and perform tasks more consistently and often with greater accuracy than most humans.
…but that doesn’t mean those tasks were equally valuable.
Which tasks will AI free up that we’ll outsource to machines because they don’t require human judgment? And which tasks will technology free us up to do that we still value?
We don’t know exactly what that looks like (yet).
And the unknown is part of why I think this topic is fascinating.
I’m not suggesting we refuse to use technology that saves us time. In many cases, that ‘effort’ is wasted effort we shouldn’t spend our energy on.
But not every repeated action needs to be automated.
Athletes practice shots they already make. Professionals rehearse pitches they already deliver. Students study material they already know.
There’s value in doing things more than once. Sometimes too much to simply hand it over to a machine.
Not every task we automate will eliminate the need for human judgment. But it may free us up to pay attention to things we value more than clicking ‘accept’ on a recommendation.
Will AI free us up to think more critically, or will we question less because technology can do it for us?
I don’t know, but it’s something to think about.
Input Required.
Does Anyone Else Feel Like AI is Doing Your Thinking for You?
Finding information used to be hard.
Remember looking things up on Google?
Ok, bad example. Google has made it way too easy to look things up.
But today, we take for granted that answers can be delivered to us in seconds.
That wasn’t always true.
Which means…when information is hard to find, we focus on how to find it.
When answers are easy to get…we have to consider which answers we can trust.
Is the source reliable?
How do I know this is true?
What’s being left out?
Which options have been presented?
What if I’m wrong?
Who could be impacted?
I could keep going, but you get the point.
Easy access to information isn’t a problem. But once something becomes easy…it changes what we have to think about.
The same goes for AI.
As more tasks become automated, our role doesn’t simply become pressing buttons. It’s about considering what we should and shouldn’t press.
True Story.
Judgment Matters Even When Technology Is Thinking For Us.
…and we’ll continue to face problems that require human judgment.
Remember that idea I mentioned about how technology is only going to give us more things to think about?
AI will help solve problems, but it also creates new ones we have to consider.
Your ethical values won’t automate themselves. Regulations and policies will still need to be updated. Decisions on what should be automated will need to be made.
When machines are doing more of the thinking, humans will be left thinking about what machines should think about.
Don’t Panic
Before anyone gets worried, this isn’t a cautionary tale about AI turning robots on us all.
Technology is doing things people used to do for themselves. That’s not going away.
But as technology continues to expand what we can do, we’ll need to think differently about how we work with technology.
Ready
Set…
AI Will Give Us Extraordinary Capability. Humans Will Apply Judgment. Leading With Judgment?
Before we wrap this up, I want to leave you with three ideas to consider about leadership and AI.
Leadership Is About Integration.
Leaders don’t just decide whether their organization should use AI. They need to consider how.
What should be automated? Where should AI only recommend versus decide? When does technology handle tasks, and when does human review remain necessary? Who is accountable when AI contributes to a decision? How do we train employees? What if using technology conflicts with another organizational value?
It won’t be the same for every organization.
Different industries will have different risks. Different decisions require unique considerations. And every organization uses AI for different reasons.
Humans are diverse. So will be the answers to these questions.
One thing we can know for sure is that deciding how AI should be used isn’t simply a technical decision. Organizations will need people to help them think through how AI should (and shouldn’t) be used.
AI Is Only As Ready As We Are.
Organizations love to talk about AI readiness.
Do we have the infrastructure?
The data? The cybersecurity?
The tech. The
training?
What about people?
Do they know when an AI recommendation may need to be double-checked?
Can your employees recognize confidence when it’s lacking evidence?
Will they think through tradeoffs?
Can your employees question a decision when something doesn’t sound right?
Do they know how to explain why they made a decision?
What happens if they don’t?
Unlike machines, we aren’t designed to repeat exact tasks without deviation (at least most of us).
That’s why technological readiness shouldn’t be the only focus of AI investments. Readiness also involves helping people know how to use technology well.
We Invest in Technology. Now Let’s Start Investing in Humans!
Conclusion
AI is going to make humans more capable.
With that capability will come questions we haven’t needed to ask before.
Who is responsible for AI decisions? Where should AI recommend versus decide? What happens when technology conflicts with another organizational value?
Questions about AI often focus on what machines can do.
It’s time we spend as much time discussing what we want technology to do.
Humans (Still) Have Jobs to Do.
Technology can help us sort through data.
Generate ideas we wouldn’t have considered.
Predict what might happen.
Recommend actions we should take.
Automate tasks.
And even help us do things we couldn’t do without it.
But having a lot of capability doesn’t mean we understand what to do with it.
Humans will provide judgment.
Human Integration™ Research Posture
Human Integration™ approaches every emerging field with humility, curiosity, and a commitment to lifelong learning.
We do not claim to have all the answers. Instead, we seek to listen, learn, research, collaborate, and contribute responsibly as our understanding grows.
Our publications are intended to encourage thoughtful discussion, integrate diverse perspectives, and support practical understanding in service to human flourishing.
Resources Cited
Abdul Rahman et al. (2026). Generative AI and organizational decision-making: A systematic review of performance effects. Procedia Computer Science, 280, 1344–1349.
Grawitch, M. J., Winton, S. L., & Mudigonda, S. P. (2026). Who listens to ChatGPT and when should they? A two-study examination of AI-assisted decision making. Computers in Human Behavior: Artificial Humans, 7, 100283.
Skitka, L. J., Mosier, K. L., & Burdick, M. (1999). Does automation bias decision-making? International Journal of Human-Computer Studies, 51(5), 991–1006.
Stanford Institute for Human-Centered Artificial Intelligence. (2026). The 2026 AI Index Report. Stanford University.
Tabassi, E. (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0) (NIST AI 100-1). National Institute of Standards and Technology.
Suggested Citation
Sims, A. (2026). Human judgment in the age of artificial intelligence: Why increasing technological capability makes human development more important (Research Publication HI-RP-2026-002, Version 1.0). Intersecting Visions Foundation.
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Published by Intersecting Visions Foundation
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