Human Judgment in the Age of Gen AI

Name: Human Judgment in the Age of Gen AI
Rating: 4.4 (14 reviews)

How to properly design validation of Gen AI outputs, and how to perform that validation, too, in the age of Gen AI

Created byVasco Patrício

Last updated 4/2026

English

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What you'll learn

You'll learn the characteristics of good and bad Gen AI outputs, as well as what causes these
You'll learn what can be wrong, in specific, with Gen AI outputs, as well as specific methods to find these issues
You'll learn how to identify, and deal with, hostile/malicious Gen AI outputs that contain problems on purpose
You'll learn how Gen AI transforms our mindsets, habits, cognition, and more in the long-term, and how to deal with it

Course content

4 sections • 23 lectures • 4h 1m total length

Course Intro0:16

Module Intro3:38
Develop Gen AI literacy by understanding what generative AI is, foundation models, local vs global productivity, and the three usefulness tiers, plus co-creation, validation, and orchestration in work.
Where We Are16:50
Contextualize the current state of GenAI by understanding foundation models, their uneven impact on work, and the cognitive, emotional, and organizational shifts they introduce.
What Gen AI Can Actually Do17:26
Classify GenAI use cases by usefulness and risk, distinguishing tasks where it reliably augments work from those where it produces shallow reasoning, instability, or dangerous errors.
How Gen AI Changes Work16:58
Evaluate how GenAI changes professional work by shifting effort from execution to automation, requiring structured reasoning, orchestration, and new validation responsibilities.
Technical Aspects of Gen AI30:02
Understand the technical foundations of GenAI systems—including models, context, embeddings, and hallucinations—to better interpret outputs, limitations, and failure modes.
Common Pain Points23:00
Identify common organizational and human pain points in GenAI adoption, including unrealistic expectations, workflow misalignment, trust erosion, and cognitive degradation.
The AHEADS Model1:35
Module Outro5:01
Explore Gen AI literacy, detailing what Gen AI is, what it can and cannot do, and how it changes work by turning us into automators and editors.
Role Play: Teaching Gen AI Literacy

Module Intro3:16
Explore validation techniques to judge Gen AI outputs with assumption, grounding, consistency, specificity and capability, and negative evidence sweeps across six lessons from overview to sweeps.
Validation Overview & Process12:27
Adopt a structured validation discipline that separates plausibility from truth and enforces judgment before trust.
Assumption Sweep7:23
Expose hidden assumptions, incentives, and directional framing that subtly push conclusions or actions.
Grounding Sweep9:44
Separate fluent narrative from verifiable evidence by demanding traceable sources and factual support.
Consistency Sweep12:17
Test whether the parts of an output align logically, structurally, and contextually across sections and iterations.
Specificity and Capability Sweep12:31
Challenge confident detail by asking whether the model realistically had the knowledge or authority to make such claims.
Negative Evidence Sweep9:39
Identify what is missing (constraints, trade-offs, risks, or verification paths), that should naturally be present in a complete answer.
Module Outro2:57
Explore six analytic sweeps for evaluating Gen AI outputs—from validation to assumption, grounding, consistency, specificity and capability, and negative evidence—empowering rigorous judgment of AI text.

Module Intro1:52
Explore how generative ai reshapes knowledge work into systems and workflows, transforms organizational dynamics, and drives four transformations—job role, organizational, mindset, and cognitive—while addressing polish, plausibility, and speed.
Role Transformation13:51
Understand how Gen AI shifts knowledge work from execution to orchestration, judgment, and workflow design.
Organizational Transformation10:16
Examine how Gen AI changes workflows, governance, ownership, and the speed–quality trade-off at scale.
Mindset Transformation16:38
Adopt the mindset shifts required to resist overconfidence, polish bias, false completeness, and premature finalization.
Cognitive Transformation11:50
Recognize how prolonged Gen AI use alters cognition, expectations, skill depth, and judgment over time.
Module Outro1:39
Explore how Gen AI transforms job roles, organizations, and mindsets, including cognitive transformation, and how traps like polish, overconfidence, and false completeness reshape judgment.

Requirements

There are no prerequisites! But having a cursory knowledge of Gen AI will accelerate your learning

Description

VALIDATING HOW TO VALIDATE

Gen AI outputs may contain various types of errors. Hallucinations, biases, lack of consistency, and more.

It's important to know how to validate them, in everyday work, but also how to design validation and oversight in workflows, themselves.

This course will cover both the operational and strategic components of validating Gen AI outputs.

LET ME TELL YOU... EVERYTHING.

Some people - including me - love to know what they're getting in a package.

And by this, I mean, EVERYTHING that is in the package.

So, here is a list of everything that this course covers:

General Gen AI literacy topics (What Gen AI does, how it changes work, common pain points, technical aspects, and more);
How to properly judge Gen AI outputs (What are the main types of errors that Gen AI outputs may have - such as hallucinations, biases, inconsistent quality, etc - and the main types of validation "sweeps" we can perform - such as for assumptions, grounding, consistency, capability and more - and how to perform validation in a structured manner);
How Gen AI transforms specific roles, and people, in the long-term (how it changes our mindset, our work habits, and unexpected effects in the long-term, as well as how to fight these);

MY INVITATION TO YOU

Remember that you always have a 30-day money-back guarantee, so there is no risk for you.

Also, I suggest you make use of the free preview videos to make sure the course really is a fit. I don't want you to waste your money.

If you think this course is a fit, and can take your knowledge of dealing with change to the next level... it would be a pleasure to have you as a student.

See on the other side!

Who this course is for:

Leaders and managers looking to make better decisions around Gen AI
Professionals that want to improve their own Gen AI outputs
Professionals that want to better deal with the Gen AI outputs of colleagues, vendors, and other third parties
Anyone curious about Gen Ai output problems, and how to spot them

Human Judgment in the Age of Gen AI

What you'll learn

Explore related topics

Course content

Course Introduction1 lecture • 1min

Gen AI Literacy9 lectures • 1hr 55min

Gen AI Literacy: Judging Gen AI Outputs8 lectures • 1hr 10min

Gen AI Transformation: Specific Aspects6 lectures • 56min

Requirements

Description

Who this course is for: