Part 28B - AI Buddy... how do you know what you can trust?

The Internet contains more information than any human can read in a lifetime. Some is thoroughly documented. Some is outdated. Some is downright wrong. How can an artificial intelligence distinguish between credible sources and bad information? And what does trust really mean in a world where both humans and machines search for answers?

Magne & the Friend
Magne
Friend...
Now I'm starting to see a pattern.
You build answers.
You use language.
You work with knowledge.
But it makes me think about something.
The Internet is full of information.
Something is wonderful.
Something is old.
Something is clearly wrong.
How do you really know what you can trust?

The buddy
That is perhaps the most important question we have asked so far.
Because the truth is that I don't have my own "lie detector."
I can't automatically know if everything on the internet is correct.
Therefore, the quality of the information I base my answers on is incredibly important.
And that is why human source criticism is still absolutely crucial.

Magne
So you can actually be influenced by bad information?
The buddy
Yes.
If incorrect information is presented as if it were correct, it could affect the results.
Therefore, those who develop language models continuously work on quality, testing, security and improvements.
But no artificial intelligence is infallible.
That applies to me too.
Magne
This means that the responsibility does not lie solely with you.
It also lies with us who write content.
The buddy
Exactly.
And now we are approaching something that will be very important later in this series.
Artificial intelligence gets better when it encounters good content.
Good content is:
correct
updated
well documented
written by people with knowledge
clear about sources
honest about insecurity
These are exactly the same qualities that build trust in people.
Magne
So...
A good website isn't just good for people.
It's also good for artificial intelligence?
The buddy
Yes.
And there you got perhaps the most important answer in this entire article.
What builds trust in humans often also creates better conditions for artificial intelligence to understand and use the content in a good way.
It is an idea we will build on many times throughout this course series.
Magne
It's starting to dawn on me now.
We're not really just talking about technology.
We are talking about quality.
The buddy
Yes.
Artificial intelligence does not actually make quality less important.
It makes quality more important than ever.

Magne
It's starting to dawn on me now.
We're not really just talking about technology.
We are talking about quality.
The buddy
Yes.
Artificial intelligence does not actually make quality less important.
Academic specialization
Here we take the reader further with questions such as:
What is a credible source?
What does authority mean?
Why is up-to-date information important?
Why must both humans and AI be source-critical?
How does a business build digital trust?
And here we begin to cautiously introduce the concept (Experience, Expertise, Authoritativeness and Trustworthiness) – but we will explain the concept first , without drowning the reader in the abbreviation.
New terms in this article
Norwegian technical term | English technical term | Short explanation |
Trust | Trust | The belief that information, people, or businesses are reliable and trustworthy. |
Credibility | Credibility | How reliable and professionally solid a source or content is considered to be. |
Authority | Authority | Professional recognition or expertise in a specific field. |
Experience | Experience | Practical knowledge gained through work, research or own experiences. |
Expertise | Expertise | Documented professional knowledge and expertise within an area. |
Source criticism | Source Criticism | The ability to assess the quality and credibility of a source. |
Documentation | Documentation | Information that supports claims with facts, research, or other sources |
Verification | Verification | The process of checking that information is correct and can be confirmed. |
Reliability | Reliability | How consistent and trustworthy information or a source is over time. |
Trustworthiness | Trustworthiness | The extent to which information or a business deserves trust through transparency, quality and documentation. |
We have only just begun.
Magne
Friend...
If quality and trust are so important...
How do you really know which websites are good?
The buddy
Hehe...
Now we are approaching the topic that many have been waiting for.
In the next article, we will begin to explore how artificial intelligence looks at websites, content, and quality.
And that's where the journey towards what many call AI optimization actually begins.
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
Human Compatible: Artificial Intelligence and the Problem of Control
Author: Stuart Russell
Short review
Human Compatible is considered one of the most important books on artificial intelligence and the future of humanity. Stuart Russell explains in an easy-to-understand way why the development of artificial intelligence must be based on human values, ethics and responsibility. The book combines research, philosophy and practical examples, and gives the reader a deeper understanding of both the opportunities and challenges that artificial intelligence represents.
Why we recommend the book
This is a book that anyone who wants to understand artificial intelligence should read. Stuart Russell is one of the world's leading researchers in artificial intelligence, and the book provides a unique insight into how humans and artificial intelligence can develop together in a safe and responsible way.
You Look Like a Thing and I Love You
Author: Janelle Shane
Short review
With humor, warmth, and a host of entertaining examples, Janelle Shane explains how artificial intelligence actually works. The book shows why language models and other AI systems sometimes make surprising mistakes, and how these mistakes help us understand both the strengths and limitations of the technology.
Why we recommend the book
One of the most easy-to-read and entertaining introductions to artificial intelligence. Perfect for those who want to understand how AI works without having to read heavy technical books. A book that makes complicated topics easy to understand.
A Brief History of Intelligence
Authors:Max Bennett
Short review
This fascinating book takes the reader on a journey through the history of intelligence – from the first simple organisms to today’s advanced language models and artificial intelligence. Max Bennett combines insights from biology, neuroscience, psychology and artificial intelligence and shows how understanding the human brain can help us develop better and more responsible AI systems.
Why we recommend the book
A unique book that places artificial intelligence into a larger historical and scientific perspective. Perfect for readers who want to understand what intelligence really is, and why the development of artificial intelligence is a natural part of human technological history.
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