Humanities are key to the future of AI

The strength team launched a new initiative entitled “Carrying out the Prosecution in a different way”, which calls for a follow -up approach to human development.

For years, we dealt with artificial intelligence outputs, such as the results of the problem of giant mathematics. But the researchers-from the Alan Torring Institute, Edinburgh University, AHRC-UKRI, and the Lloyd’s Register-behind this project, say this is the wrong way to look at it.

What artificial intelligence creates is essentially cultural artifacts. They look like a novel or a more than a tablet. The problem is that artificial intelligence creates this “culture” without understanding any of them. It is like a person saved a dictionary but has no idea how to have a real conversation.

That is why artificial intelligence often fails when “differences and context are more important,” says Professor Drew Hemont, lead to the explanatory techniques of sustainability at the Alan Toring Institute. The system does not have a “explanatory depth” to get what he really says.

However, most of the world’s artificial intelligence is based on a few similar designs. The report describes this “homogeneity problem” and the development of artificial intelligence in the future must overcome this.

Imagine if every baker in the world used exactly the same recipe. You will get a lot of matching cakes, frankly. With artificial intelligence, this means the same blind points, the same biases, and the same restrictions are copied and pasted in thousands of tools that we use every day.

We saw this happening with social media. It has been presented with simple goals, and we are now living with unintended societal consequences. The “Doing AI” team highlights the alert to ensure that we do not make the same error with artificial intelligence.

The team has a plan to build a new type of artificial intelligence, one they call artificial intelligence interpretation. It comes to designing systems from the beginning in working the way people do; With mystery, multiple views, a deep understanding of the context.

The vision is to create explanatory techniques that can provide multiple valid views instead of only one answer. This also means exploring the alternative AI structure to break the current designs. More importantly, the future is not related to the unity of artificial intelligence, our replacement; It comes to creating Human-Ei groups where we work together, combining our creativity and the strength of artificial intelligence to solve huge challenges.

This has the ability to touch our lives in very real ways. In health care, for example, your experience with a doctor is a story, not just a list of symptoms. Interpretation artificial intelligence can help capture this full story, and improve your care and confidence in the system.

For climate work, it can help bridge the gap between global climate data and the unique cultural and political facts of a local community, creating solutions that already work on the ground.

A new international financing call is launched to gather researchers from the United Kingdom and Canada in this task. But we are at a crossroads.

“We are in a pivotal moment for Amnesty International,” warns professor. “We have a narrow window for construction in explanatory capabilities from A to Z.”

For partners like LLOYD’s Register, everything is due to one thing: safety.

“As a charity for global safety, our priority is to ensure the spread of future artificial intelligence systems, whatever the form they take, in a safe and reliable manner,” says the director of technology, Jean Barzikdik.

This is not only about building a better technology. It comes to the creation of Amnesty International, which can help solve our biggest challenges, and in this process, amplify the best parts in our humanity.

(Photo by Ben Sweet)

See also: The obsession of artificial intelligence costs us our human skills

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