What Are the Best Life Hacks You've Learned From Fiction? One of my favorite psychological tricks comes from a novella by comedian Steve Martin, Shopgirl. It’s a guide to telling lies. There are three essential qualities to an effective lie, says the protagonist Mirabelle at a party: “First, it must be partially true.

Second, it must make the hearer feel sorry for you, and third, it must be embarrassing to tell,” says Mirabelle.“Go on,” the room implies.“It must be partially true to be believable. If you arouse sympathy you’re much more likely to get what you want, and if it’s embarrassing to tell, you’re less likely to be questioned.”For example, Mirabelle says, she wanted to skip work, so she told her boss she had to go to the doctor (which she sometimes did, after all), won his sympathy for her pain, and intimated, embarrassingly, that it was a “gynecological problem.”By this point in Shopgirl, we know Mirabelle is sad, shy, and lonely, which makes her advice either suspect or authoritative. And you just know Steve Martin must have tried this one in real life. I never have, but I saved it just in case.)What’s the best life hack you’ve found in a movie, a novel, a TV show, or a fictional story from any medium?

One of my favorite psychological tricks comes from a novella by comedian Steve Martin, Shopgirl. It’s a guide to telling lies. There are three essential qualities. Get the latest science news and technology news, read tech reviews and more at ABC News. The Hollywood Reporter is your source for breaking news about Hollywood and entertainment, including movies, TV, reviews and industry blogs.

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Props to anyone who’s gotten life advice from a limerick.) Tell us in the comments and we’ll share the best ones.

What Makes an Artificial Intelligence Racist and Sexist. Artificial intelligence is infiltrating our daily lives, with applications that curate your phone pics, manage your email, and translate text from any language into another. Google, Facebook, Apple, and Microsoft are all heavily researching how to integrate AI into their major services. Soon you’ll likely interact with an AI (or its output) every time you pick up your phone.

Should you trust it? Not always. AI can analyze data more quickly and accurately than humans, but it can also inherit our biases. To learn, it needs massive quantities of data, and the easiest way to find that data is to feed it text from the internet.

But the internet contains some extremely biased language. A Stanford study found that an internet- trained AI associated stereotypically white names with positive words like “love,” and black names with negative words like “failure” and “cancer.”Luminoso Chief Science Officer Rob Speer oversees the open- source data set Concept. Net Numberbatch, which is used as a knowledge base for AI systems. He tested one of Numberbatch’s data sources and found obvious problems with their word associations. When fed the analogy question “Man is to woman as shopkeeper is to..” the system filled in “housewife.” It similarly associated women with sewing and cosmetics. While these associations might be appropriate for certain applications, they would cause problems in common AI tasks like evaluating job applicants. An AI doesn’t know which associations are problematic, so it would have no problem ranking a woman’s résumé lower than an identical résumé from a man.

Similarly, when Speer tried building a restaurant review algorithm, it rated Mexican food lower because it had learned to associate “Mexican” with negative words like “illegal.”So Speer went in and de- biased Concept. Net. He identified inappropriate associations and adjusted them to zero, while maintaining appropriate associations like “man/uncle” and “woman/aunt.” He did the same with words related to race, ethnicity, and religion. To fight human bias, it took a human. Numberbatch is the only semantic database with built- in de- biasing, Speer says in an email. He’s happy for this competitive advantage, but he hopes other knowledge bases will follow suit: This is the threat of AI in the near term.

It’s not some sci- fi scenario where robots take over the world. Watch The Thirteenth Floor HD 1080P. It’s AI- powered services making decisions we don’t understand, where the decisions turn out to hurt certain groups of people.The scariest thing about this bias is how invisibly it can take over. According to Speer, “some people [will] go through life not knowing why they get fewer opportunities, fewer job offers, more interactions with the police or the TSA..” Of course, he points out, racism and sexism are baked into society, and promising technological advances, even when explicitly meant to counteract them, often amplify them. There’s no such thing as an objective tool built on subjective data. So AI developers bear a huge responsibility to find the flaws in their AI and address them.“There should be more understanding of what’s real and what’s hype,” Speer says. It’s easy to overhype AI because most people don’t have the right metaphors to understand it yet, and that stops people from being appropriately skeptical.“There’s no AI that works like the human brain,” he says.

To counter the hype, I hope we can stop talking about brains and start talking about what’s actually going on: it’s mostly statistics, databases, and pattern recognition. Which shouldn’t make it any less interesting.”.