Janelle Shane


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While moonlighting as a research scientist, Janelle Shane found fame documenting the often hilarious antics of AI algorithms.

Janelle Shane's humor blog, AIweirdness.com, looks at, as she tells it, "the strange side of artificial intelligence." Her upcoming book, You Look Like a Thing and I Love You: How AI Works and Why It's Making the World a Weirder Place, uses cartoons and humorous pop-culture experiments to look inside the minds of the algorithms that run our world, making artificial intelligence and machine learning both accessible and entertaining.

According to Shane, she has only made a neural network-written recipe once -- and discovered that horseradish brownies are about as terrible as you might imagine.

Janelle Shane isn't a Goodreads Author (yet), but they do have a blog, so here are some recent posts imported from their feed.

lingthusiasm:

Lingthusiasm Episode 40: Making machines learn...



lingthusiasm:



Lingthusiasm Episode 40: Making machines learn language - Interview with Janelle Shane

If you feed a computer enough ice cream flavours or pictures annotated with whether they contain giraffes, the hope is that the computer may eventually learn how to do these things for itself: to generate new potential ice cream flavours or identify the giraffehood status of new photographs. But i...

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Published on January 17, 2020 13:16
Average rating: 4.21 · 440 ratings · 99 reviews · 1 distinct workSimilar authors
You Look Like a Thing and I...

4.21 avg rating — 440 ratings — published 2019 — 9 editions
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“Another application that may be particularly vulnerable to adversarial attack is fingerprint reading. A team from New York University Tandon and Michigan State University showed that it could use adversarial attacks to design what it called a masterprint—a single fingerprint that could pass for 77 percent of the prints in a low-security fingerprint reader.14 The team was also able to fool higher-security readers, or commercial fingerprint readers trained on different datasets, a significant portion of the time. The masterprints even looked like regular fingerprints—unlike other spoofed images that contain static or other distortions—which made the spoofing harder to spot.”
Janelle Shane, You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place

“An AI shown a sheep with polka dots or tractors painted on its sides will report seeing the sheep but will not report anything unusual about it. When you show it a sheep-shaped chair with two heads, or a sheep with too many legs, or with too many eyes, the algorithm will also merely report a sheep. Why are AIs so oblivious to these monstrosities? Sometimes it’s because they don’t have a way to express them. Some AIs can only answer by outputting a category name—like “sheep”—and aren’t given an option for expressing that yes, it is a sheep, but something is very, very wrong.”
Janelle Shane, You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place

“In 1994, Karl Sims was doing experiments on simulated organisms, allowing them to evolve their own body designs and swimming strategies to see if they would converge on some of the same underwater locomotion strategies that real-life organisms use.5, 6, 7 His physics simulator—the world these simulated swimmers inhabited—used Euler integration, a common way to approximate the physics of motion. The problem with this method is that if motion happens too quickly, integration errors will start to accumulate. Some of the evolved creatures learned to exploit these errors to obtain free energy, quickly twitching small body parts and letting the math errors send them zooming through the water.”
Janelle Shane, You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place



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