Part 30 - AI Buddy...How do humans evaluate knowledge?
Good knowledge is not just about finding answers. It's also about understanding why we trust them.
We live in an era where information is available everywhere. With a few keystrokes, we can find answers to almost any question. At the same time, it has never been more important to be able to assess the quality of the information we encounter. How do we know if something is correct? Why do we trust some sources more than others? And how do people develop the ability to distinguish between information, knowledge, and insight?
In this article, we take a closer look at how people evaluate knowledge – and why this ability is becoming increasingly important in a world where artificial intelligence is becoming a natural part of everyday life.
Magne & the Friend
Magne
Friend...
We've talked a lot about how people learn.
But I've started to wonder about one thing.
How do we really know that something is good knowledge?
The buddy
That is perhaps one of the most important questions we can ask.
Because people don't automatically accept everything they read.
We are considering it.
All the time.
Magne
What are we actually considering?
The buddy
More than most people think.
We often ask ourselves – consciously or unconsciously:
Who says this?
Where does the information come from?
Does this match what I already know?
Can others confirm that?
Does the explanation seem logical?
Magne
So...
We constantly compare new information with what we already know?
The buddy
Yes.
Our brain is constantly building bridges between new and old knowledge.
The more connections we see...
the easier it becomes to determine whether something seems credible.
Magne
It reminds me of my time studying at Oxford.
The lecturers rarely gave us the answer right away.
They asked questions.
They challenged us.
The buddy
Exactly.
Good teaching is often less about giving answers.
It's about teaching people to think.
Magne
So...
Critical thinking isn't about doubting everything?
The buddy
No.
Critical thinking is about being curious.
To investigate.
To compare.
To reflect.
And to be willing to change your mind when new evidence provides a better explanation.
Magne
Then learning actually becomes a lifelong process.
The buddy
Yes.
And perhaps that is precisely why humans are still so important in a world of artificial intelligence.
KI can help us with information.
But people still have to consider it.
Magne
So...
The most important skill may not be having all the answers.
But knowing how we evaluate them.
The buddy
Just.
That's how knowledge develops.
Through questions.
Through experience.
Through reflection.
And through dialogue.
Academic specialization
How do people evaluate knowledge?
When people encounter new information, we rarely accept it uncritically. We compare it with previous experiences, other knowledge, and our understanding of the world. At the same time, we consider whether the information seems logical, who is behind it, and whether it can be documented.
Good knowledge assessment is therefore about far more than facts alone.
It is about:
ask questions
examine sources
compare different perspectives
see connections
reflect on consequences
be open to new documentation
These are skills that are becoming increasingly important in an era where both humans and artificial intelligence produce large amounts of information.
A society with high knowledge competence is not characterized by everyone thinking the same thing.
It is characterized by the fact that people can justify why they believe what they do.
How do people evaluate knowledge?
We are considering | Why is it important? |
The source | Who is behind the information, and what expertise do they have? |
The documentation | Is the claim based on research, experience, or opinions? |
The context | Does the information fit with other knowledge we have? |
The logic | Does the explanation fit together? |
Current affairs | Is the information up to date? |
Verifiability | Can the information be verified through other sources? |
From information to assessed knowledge
Steps | What's going on? |
Information | We are receiving new information. |
Examination | We ask questions and look for documentation. |
Comparison | We evaluate the information against other knowledge. |
Reflection | We think through the meaning and consequences. |
Knowledge | The information is understood and placed in a larger context. |
Action | The knowledge is used to make better decisions. |
Technical terms
English technical term | Short explanation |
Knowledge | Information that is understood, put into context and can be used to explain, evaluate or solve problems. |
Critical Thinking | The ability to investigate, analyze and evaluate information before drawing conclusions. |
Source Criticism / Source Evaluation | The process of assessing where information comes from, who is behind it and how credible it is. |
Reflection | To think through experiences and information to develop deeper understanding. |
Credibility | How much trust we can have in a source or a message. |
Documentation | Sources, research, or other information that supports a claim. |
Verifiability | The ability to check whether information can be confirmed by others. |
Knowledge Universe | A structured collection of articles and subject matter that helps humans and artificial intelligence understand relationships. |
We have only just begun.
Magne
Friend...
Now we have spent many articles trying to understand how people learn.
How we build knowledge.
How we evaluate information.
And how we develop understanding.
But now I'm curious about something else.
How does artificial intelligence actually do all this?
The buddy
Hehe...
That's exactly where we're going now.
Because even though artificial intelligence may seem human when we talk to it...
it works in a completely different way.
It doesn't think.
It doesn't remember the way humans do.
It also doesn't understand the world the way we do.
Still, it can find information.
Consider connections.
And help us solve increasingly advanced tasks.
Magne
So...
Are we really starting a whole new part of the journey now?
The buddy
Yes.
Now we will see the world through the "eyes" of artificial intelligence.
How does it find information?
How does it evaluate sources?
How does it put together knowledge?
And how can we collaborate better with it?
That's exactly where we'll continue next time.
Academic background and further reading
This series also builds on my own professional journey through the Web Design study , the eMarketing study , Innovation and Commercialization and professional seminars in San Francisco and Oxford . Here you will find the background, professional environments and experiences that have followed the development from the early years of the web to today's digitalization.
Recommended books from our library
Prediction Machines: The Simple Economics of Artificial Intelligence
Authors: Ajay Agrawal, Joshua Gans and Avi Goldfarb
Short review
This book shows how artificial intelligence is primarily about making better predictions. The authors explain how cheaper and more accurate predictions can change decisions, business models, and the way organizations create value.
Why we recommend the book
One of the most important books for understanding the economic significance of artificial intelligence. It helps the reader see why AI impacts far more than technology – it changes how people and businesses make decisions.
Competing in the Age of AI
Authors: Marco Iansiti and Karim R. Lakhani
Short review
The book explains how artificial intelligence is changing competition, organizations, and business models. Through practical examples, the authors show how data, digital platforms, and AI are creating new opportunities for businesses.
Why we recommend the book
This book is especially suitable for leaders and decision-makers who want to understand how AI will impact the businesses of the future. It shows that artificial intelligence is as much about strategy and organization as it is about technology.
The Alignment Problem: Machine Learning and Human Values
Author: Brian Christian
Short review
Brian Christian explores how artificial intelligence can be developed in line with human values. Combining technology, philosophy, and ethics, the book provides an engaging introduction to one of the most important questions in modern AI research.
Why we recommend the book
A thought-provoking book for anyone who wants to understand why responsible development of artificial intelligence is so important. It shows that the AI of the future is not just about what the technology can do, but also about what values it should be built on.
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