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Tagbias

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Ethics Integrity Fairness Ideals Behavior Values Concept

AI: Design Ethics vs. End User Ethics — the Difference Is Important

The major ethical challenge in AI design is unintended consequences. It’s up to end users to debate which consequences SHOULD be intended. Read More ›
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Digital globe with mosaic of images

Why Some Nation States Are Banning TikTok

The United States is not alone in questioning the social medium’s allegiance to the Chinese government

Why is TikTok so controversial? It’s the first Chinese technology company that has reached a billion users outside of China. Its main demographic is Generation Z—teens and twenty-somethings. If you take a look at TikTok videos, most are goofy and irreverent. They’re frenetic shorts of everything from fashion tips to pranks and, of course, (bad) dancing. TikTok’s stated mission is to “inspire creativity and bring joy.” What could go wrong? Here’s what. Working with China, as Disney and the NBA can attest, comes with certain strings attached, including acquiescing to the Chinese Communist Party’s rules for acceptable speech. Because ByteDance, which owns TikTok, is a Chinese company (although partly owned by investors from the U.S. and Japan), the Chinese Communist…

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Robot typing on keyboard

Bingecast: George Montañez on Intelligence and the Turing Test

What do computer scientists say about the ability of machines to think? Alan Turing, the father of modern computer science, tackled the question in 1950 and proposed the Turing test as an answer. Is the Turing test important today? Can a deeper undertanding of intelligence be culled for the Turing test? Robert J. Marks discusses the Turing test, artificial intelligence,…

Chatbot / Social Bot mit Quellcode im Hintergrund
Chatbot / Social Bot mit Quellcode im Hintergrund

Can Machines Think?

What do computer scientists say about the ability of machines to think? Alan Turing, the father of modern computer science, tackled the question in 1950 and proposed the Turing test as an answer. Is the Turing test important today? Robert J. Marks discusses the Turing test with Dr. George Montañez. Show Notes 00:55 | Introducing Dr. George Montañez, Iris and…

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A Closer Look at Google’s Search Engine Bias

If Google’s CEO honestly believes that there is no political bias, that is, in itself, a big part of the problem
If Sundar Pichai thinks that there is no bias in Google's algorithms, he is arguing against the nature of writing algorithms itself—not a good position for a computer guy to be in. Read More ›
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Can Computer Algorithms Be Free of Bias?

Bias is inevitable but it should be recognized and admitted

Gregory Coppola’s revelations about Google’s politically biased search engine shone a spotlight on how algorithms are written.

Read More ›
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AI: Think About Ethics Before Trouble Arises

A machine learning specialist reflects on Micah 6:8 as a guide to developing ethics for the rapidly growing profession
To love mercy sometimes means to give up efficiency. It could mean losing a few points of model accuracy by refusing to take into account features that invade privacy or are proxies for race, leading to discriminatory model behavior. But that’s OK. The merciful are willing to give up some of their rights and advantages so they can help others.   Read More ›
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Did AI teach itself to “not like” women?

No, the program did not teach itself anything. But the situation taught the company something important about what we can safely automate.

Back in 2014, it was a “holy grail” machine learning program, developed in Scotland, that would sift through online resumes, using a one-to-five star rating system and cull the top five of 100, saving time and money. Within a year, a problem surfaced: It was “not rating candidates for software developer jobs and other technical posts in a gender-neutral way.”

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GIGO alert: AI can be racist and sexist, researchers complain

Can the bias problem be addressed? Yes, but usually after someone gets upset about a specific instance.

From James Zou and Londa Ziebinger at Nature: When Google Translate converts news articles written in Spanish into English, phrases referring to women often become ‘he said’ or ‘he wrote’. Software designed to warn people using Nikon cameras when the person they are photographing seems to be blinking tends to interpret Asians as always blinking. Word embedding, a popular algorithm used to process and analyse large amounts of natural-language data, characterizes European American names as pleasant and African American ones as unpleasant. Now where, we wonder, would a mathematical formula have learned that? Maybe it was listening to the wrong instructions back when it was just a tiny bit? Seriously, machine learning, we are told, depends on  absorbing datasets of…