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Articles on Ethics in artificial intelligence

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In the city of London, security cameras can even be found in cemeteries. In 2021 the mayor’s office launched an effort to establish guidelines for research around emerging technology. Acabashi/Wikimedia

Debate: How to stop our cities from being turned into AI jungles

As states and nations struggle to regulate growing AI use, municipal authorities are often leading the way. An emerging paradigm known as AI Localism can help us better define the way forward.
An unmarked grave with a headstone that resembles a computer screen, nicknamed ‘iGrave’, is seen in north-west London. Leon Neal/AFP

‘Deadbots’ can speak for you after your death. Is that ethical?

The recent case of a man making a simulation of his deceased fiancée raises important questions: while AI makes it possible to create “deadbots”, is it ethically desirable or reprehensible to do so?
“Alfie”, a moral choice machine, is pictured in front of an important question during a press conference in Germany. Arne Dedert/picture alliance via Getty Images

Defining what’s ethical in artificial intelligence needs input from Africans

Inclusivity and diversity also need to be at the level of identifying values and defining frameworks of what counts as ethical AI in the first place.
In this September 2019 photo, a woman walks below a Google sign on the campus in Mountain View, Calif. (AP Photo/Jeff Chiu)

Google’s union of activists highlights the need for ethical engineering

The new Alphabet Workers Union is making clear that changes must be put in place, both in education and on the job, to allow engineers to start taking responsibility for the social impact of their work.
When algorithms make decisions with real-world consequences, they need to be fair. R-Type/Shutterstock.com

How can we make sure that algorithms are fair?

A machine learning expert predicts a new balance between human and machine intelligence is on the horizon. For that to be good news, researchers need to figure out how to design algorithms that are fair.
Specialist machine learning and narrow AI could help us to start removing the “four Ds” - dirty, dull, difficult, dangerous - from our daily work. from www.shutterstock.com

AI is here to stay. Now we need to ensure everyone benefits

Artificial intelligence is predicted to contribute some US$15.7 trillion to the global economy by 2030. A new report looks at issues specific to New Zealand.

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