Term · 4 stories

Algo­rith­mic bias

When an algorithm treats people unfairly – by gender, race, age or origin – because it was trained on data that already contained those prejudices.

01Technology · 14 Jul 2023

Do It Yourself: AI That Builds AI

What happens when artificial intelligence takes on its next big job: creating… artificial intelligence? What if we asked the famous ChatGPT to “create” a new neural network to solve a specific problem? Can complex algorithms build their own successors, what would that change, and could it lead us to the next step, an absolute AI capable of solving any task? These questions have many possible answers, but while we ask them we may miss something important: systems already exist in which AI oversees and assists the process of creating its own “kin”…

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02Technology · 14 Mar 2023

Artificial Intelligence and Ethics: 10 Big Questions

The astonishing progress in artificial intelligence is a fact: technologies like ChatGPT have made it clear that scientists have taken giant strides, and these will go on producing big news. This has pushed the ethical side of such work to the forefront, and the answers may prove vital for each of us and for us as a species. While the European Union and the major powers prepare some form of regulation, the AI revolution is already unfolding before our eyes. What are 10 of the most important questions we should be asking more and more often?

03Technology · 27 May 2022

DALL·E, Draw Me a Sheep!

This picture was created by an algorithm. “A tiger anxiously waiting for its dentist appointment,” read the instructions it was given. DALL·E certainly deserves serious attention. It may lack the waxed mustache and the eccentricity of its namesake Salvador, but it does thrilling things. With the help of artificial intelligence it turns a description into an image, and with such precision and creativity! The rest of the examples will leave you amazed…

04Technology · 29 Mar 2022

How the Algorithm Learned to Recognize Our Faces

Facial recognition systems have become so refined that they are practically infallible. How did we arrive at this technological breakthrough, and why does hardly anyone talk about it? What ethical questions does it raise, and why should each of us learn more about it?

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