The danger of AI is weirder than you think Janelle Shane
The AudioBook Guide
We will do your narration in any language, we will convert your document into an audio file. Click the link below: https://bit.ly/3BPpjMh We will write you an article or an essay on any topic: https://bit.ly/2V2V9oa Read our articles on: https://usernamejack.medium.com Artificial Intelligence (AI) has become a staple of our daily lives, from Siri to Google Assistant which can control our phones, computers and even homes. The world of media has explored the advancement and potential dangers of rapidly advancing AI for decades, films such as Blade Runner and 2001: A Space Odyssey have touched on the themes of what happens when AI grows beyond human control. But how much does this affect our perception of AI and its involvement in our daily lives? Read more: Using data from Google Search Trends and Linkfluence, new research from Ebuyer has revealed that globally almost 3 million people had searched negative themes around AI online. The research discovered that the biggest search queries included "Can artificial intelligence be dangerous?" and "Will artificial intelligence take over the world?" The countries most interested in Artificial Intelligence The USA came out on top with 12 million conversations reported around AI over the year. Topics around AI in these conversations included 130,000 conversations around natural language processing and 127,000 conversations around machine learning. During the US presidential elections, AI was a big topic of conversation with Donald Trump spiking 230,000 conversations. India and the UK came second and third with 2.36 million ad 1.27 million conversations generated around AI. However, both these countries had a more positive attitude towards AI than the USA with the UK sparking 14 per cent positive conversations.
An interview with Janelle Shane, the creator of aiweirdness.com and author of 'You Look Like a Thing and I Love You: How AI Works and Why It’s Making the World a Weirder Place'. Subscribe: RSS | iTunes | Spotify | YouTube Janelle Shane works as a research scientist in Colorado, where she makes computer-controlled holograms for studying the brain, and other light-steering devices. She is also a self-described A. I. Humorist - on aiweirdness.com, she writes about AI and the sometimes hilarious, sometimes unsettling ways that algorithms get things wrong. Her work has also been featured in the New York Times, The Atlantic, WIRED, Popular Science, and more, AND she has also given the TED talk “The danger of AI is weirder than you think” in 2019. Her 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. Check out coverage of similar topics at www.skynettoday.com Theme: Deliberate Thought Kevin MacLeod (incompetech.com)
Ep133 - Janelle Shane | You Look Like a Thing and I Love You
Talks at Google
Research scientist Janelle Shane discusses her new book "You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place". "You look like a thing and I love you" is one of the best pickup lines ever . . . according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. We rely on AI every day for recommendations, for translations, and to put cat ears on our selfie videos. We also trust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really... and how does it solve problems, understand humans, and even drive self-driving cars? In this episode Shane delivers a smart, often hilarious introduction to the most interesting science of our time, explaining how these programs learn, fail, and adapt—and how they reflect the best and worst of humanity. Visit http://g.co/TalksAtGoogle/ThingLove to watch the video.
Boekenwijzer: You look like a thing and I love you van Janelle Shane
Bedrijfsadviseur Kris Honraet en Werner Van Horebeek bespreken het boek You look like a thing and I love you van Janelle Shane. Een zeer toegankelijk boek over Artificiële Intelligentie.Het filmpje Exact Instructions Challenge waarvan sprake in de podcast: https://youtu.be/cDA3_5982h8
AI/You Look Like a Thing and I Love You with Janelle Shane
Skype a Scientist Live
Janelle Shane's AI humor blog, AIweirdness.com, looks at the strange side of artificial intelligence. She has been featured on the main TED stage, in the New York Times, The Atlantic, WIRED, Popular Science, All Things Considered, Science Friday, and Marketplace. Her book, "You Look Like a Thing and I Love You: How AI Works, Thinks, 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. Shane is also a research scientist at an optics R&D company, where she has worked on projects including a holographic laser tweezers module for the space station, and a virtual reality arena for mantis shrimp.
#98: Janelle Shane – AI Weirdness, Artificial Intelligence Adventurer
Wild Business Growth Podcast
Janelle Shane, the Optics Research Scientist and Creator of the AI Weirdness blog, joins the show to share her experiments that showcase the strange side of artificial intelligence. Hear what the future of AI means for our businesses and personal lives, Janelle’s most memorable AI Weirdness experiments, where we see AI in everyday life, how AI works, and the record Janelle set in college. Connect with Janelle at AIWeirdness.com, JanelleShane.com, on social media at @JanelleCShane and @Janelle.Shane, and buy her book at your local bookstore
Hello! Welcome to another edition of Inside The Newsroom! Today’s podcast is the first in a while, so it felt great to get back on the horse and devour some knowledge. Today’s guest is Janelle Shane, research scientist in artificial intelligence, and author of the recently-published You Look Like a Thing and I Love You, a book about the weirdest artificial intelligence out there. We got into all sorts of AI questions and even had a discussion on trucks with giant testicles dangling down from the back of them, so whatever you’re into there’s something for everyone. In all seriousness, AI is crucial yet so misunderstood, so I’m hoping the podcast above and newsletter below go some way in breaking down barriers for understanding its place in this world. Enjoy 🤓Job CornerSeveral deadlines coming up in the next few days, including at CBC, ITV, The Independent and The Texas Tribune. Check out almost 400 active journalism jobs, internships and freelance contracts. Please spread the word.Who is Janelle Shane?Janelle is a research scientist specializing in artificial intelligence, TED2019 speaker, and author of You Look Like a Thing and I Love You, a book on how AI works and why it’s making the world weirder. The book is an expansion of Janelle’s popular blog, aiweirdness.com, which makes fun at some of the stranger AI trends and innovations, like cockroaches being able to masquerade as giraffes to fool security. Janelle’s also written for The New York Times, Popular Science and Slate.Buy the book 👇❤️Like What You See?❤️Each podcast and newsletter takes about 12 hours to put together, so please like this edition of Inside The Newsroom by clicking the little heart up top. That way I’ll appear in clever algorithms and more people will be able to read. Cheers.You Look Like a Thing and I Love YouJanelle published her first book late last year titled You Look Like a Thing and I Love You, a book on how AI works and why it’s making the world a weirder place. Maybe it’s me and the line of work I’m in, but AI is more often than not associated with negatives, such as machines taking our jobs, racist algorithms, or fatal self-driving cars crashes. While there’s certainly cause for concern over the outcomes of machines overstepping the mark in terms of invading our privacy and threatening our security, it’s of course us humans programming AI that’s the problem. In the same vein, Janelle looks at some of the weirder AIs that humans have created, such as truck nuts…Truck nuts you ask? Yeah I did a double take too. One of the things I love about America is some people’s inability to control their testosterone, and the latest way this group of people are displaying their manliness is by dangling a pair of giant testicles from the back of their trucks. But in fine fashion, the AI from a Tesla recently recognized the oversized nuts as a traffic cone, a beautiful reminder of AI’s naivety and that we can all reduce some individuals with overflowing arousal to a traffic cone. What is Artificial Intelligence and Machine Learning?Pinching this next bit from my podcast with Francesco Marconi, former R&D Chief at The Wall Street Journal and now co-founder of Applied XLabs. The never ending rise of power and influence of technology companies in our lives means we hear and read about terms such as artificial intelligence and machine learning seemingly every day. AI as we know it arguably started in the first half of the 20th century, just as computers were gaining steam. While AI and ML are closely linked and overlap in many ways, they are different.Artificial intelligence is:The overarching umbrella term for the simulation of human intelligence in machines programmed to think like humans and mimic our actions.Whereas machine learning is:The concept that a computer program can learn and adapt to new data without human interference. Machine learning is a field of artificial intelligence that keeps a computer’s algorithms current regardless of external changes. For example, autocorrect or self-driving cars.Essentially, you need AI researchers to build the smart machines, and you need machine learning experts to make them super intelligent. You can’t have one without the other.Is AI Misunderstood? 🤔This is a question that’s been rattling around my brain for months now, and is one I’m starting to understand better the more I dissect its pros and cons. Like many of you reading, I got swept up in the fear and hysteria over automation eliminating up to 800 millions jobs in the next decade, paranoid that the machines are coming to get us! Like with most things in life, the more I learn about AI and the more experts I talk to on the podcast, the more I realize that AI can and should be a helluva lot less intimidating than it’s currently perceived.Two main factors come to mind that give AI a bad name. Firstly, as we discussed earlier, when AI does bad things, whether it’s intentional or unintentional, human decisions are behind it, such as the Chinese government’s decision to spy on its citizens and give everyone a social credit score based on trivial offences such as jaywalking. Automation has shaped economies for centuries. Whether it was the Industrial Revolution in the 18th and 19th century that sent factory production soaring, or the invention of the internet that has all but killed off the printing press, people have lost jobs due to machines for as long as we can remember. But that’s not the problem — free markets will always endeavour to find savings. Which brings us onto the second point. The problem has been dormant governments failing to react quick enough to changing industries, if at all. Across the Midwest and South, economic wastelands have sprung up over the past decade because federal and state governments failed to reinvest in these communities through teaching people necessary skills, and through a lack of incentive to keep innovative companies at home. And in the UK, jobs left empty because of Brexit will ironically be filled by robots. Until we truly understand what automation is and what it can do, the stigma around AI will only become dirtier. Credit: Axios 👇Which Country Is Best At AI?Like with most areas of life, I love a good bloody index to show who’s better than who on a particular subject. While rankings are just rankings, they do provide a decent snapshot of which country prioritises certain issues over others. When it comes to AI, Tortoise Media’s index looks at the level of investment, innovation and actual implementation of AI by country, while Stanford University’s index looks at the vibrancy of each nation including public perception and societal considerations. Unsurprisingly, the U.S. and China, the world’s two largest economies, are number one and two on both indices.Source: Tortoise Media 👇Delving into the U.S. deeper, researchers at Stanford concluded that while larger states with the biggest economies may not be at the top of the standings in terms of AI job growth, that’s because they’ve already had their AI surge. It’s part of the reason they’re still at the top. Oil also helps… Talking of which, oil-rich states such as North Dakota and Wyoming have seen AI jobs in their states boom of the past decade, and goes to show that you don’t need to be in California or New York to jump into AI.Related podcasts…#77 — Francesco Marconi (Newlab) on artificial intelligence and its role in the future of journalism#72 — Ryan Broderick (BuzzFeed) on the 15th anniversary of YouTube#70 — Amy Webb (Future Today Institute) on the lack of government preparation for the coronavirus and the latest 2020 technology trends#61 — Rachel Botsman (Trust Issues) on the why people believe fake newsLast week … 🇺🇸 America's Protests: We Must Now Focus on Voter SuppressionThanks for making it all the way to the bottom. Please like and share this edition of Inside The Newsroom by clicking the ❤️ below. That way I’ll appear in clever algorithms and more people will be able to read.If you haven’t already, please consider subscribing to get a newsletter about a cool news topic in your inbox every time I publish (1-2 times a week). You can find me on Twitter at @DanielLevitt32 and email me corrections/feedback or even a guest you’d like me to get on the podcast at email@example.com. This is a public episode. If you’d like to discuss this with other subscribers or get access to bonus episodes, visit insidethenewsroom.substack.com/subscribe
Season 2 Episode 13: Dogs vs Cats and AI with Dr. Janelle Shane
The Science Pawdcast
We hope everyone is doing ok and handling the physical distancing! Our program this week has science news about the periodic table and a fun discussion about why dogs breeds look so different when compared with cat breeds. In the Ask an Expert section we are so fortunate that Dr. Janelle Shane chatted with us about AI and her amazing book "You Look Like A Thing And I Love You!" It's such a fun and educational talk!You can find the links below to her book!Dr. Janelle Shane on Twitter:https://twitter.com/JanelleCShaneDr. Janelle Shane's Website:https://www.janelleshane.com/You Look Like A Thing And I Love You!https://www.janelleshane.com/book-you-look-like-a-thingDr. Shane's TED Talkhttps://www.ted.com/talks/janelle_shane_the_danger_of_ai_is_weirder_than_you_thinkThe ASAP Science Periodic Table Song:https://www.youtube.com/watch?v=rz4Dd1I_fX0Bunsen on Twitter:https://twitter.com/bunsenbernerbmdBunsen on Facebookhttps://www.facebook.com/bunsenberner.bmd/InstaBunsenhttps://www.instagram.com/bunsenberner.bmd/?hl=enBunsen Merch!https://teespring.com/en-GB/stores/bunsen-bernerGenius Lab Gear for 10% link!-10% off science dog bandanas, science stickers and science Pocket toolshttps://t.co/UIxKJ1uX8J?amp=1Support the show (https://www.patreon.com/bunsenberner)Support the showFor Science, Empathy, and Cuteness!Being Kind is a Superpower.https://twitter.com/bunsenbernerbmd
Listen to more of the conversation with Janelle Shane about the weirdness of Artificial Intelligence, and hear a selection of knock-knock jokes that were created through a computer algorithm. Listen to more of Janelle Shane in our broadcast edition. Subscribe […]
CM 153: Janelle Shane on How Artificial Intelligence Works
Curious Minds at Work
What happens when you teach an AI to write knock-knock jokes, recipes, and pick-up lines?It's a rare week that goes by without someone talking about the power, and the perils, of artificial intelligence. But if you're not an expert in machine learning, how do you separate fact from fiction? That's where Janelle Shane's expertise comes in.Janelle is the author of the book, You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place. As she describes how an AI learns, she reveals the gap between what researchers strive to do and what's currently possible. Janelle explains, "The AI in science fiction is almost exclusively this kind of human level, general AI, that's really smart, at least as smart as a human, and then the stuff we have in the real world is a lot simpler."Janelle runs amusing AI experiments, in order to learn how machine learning works and where its limits begin. She shares stories of what happened when she trained AIs to tell knock-knock jokes, invent new recipes, and write pick-up lines. Along the way, she describes the ups and the downs of working with AIs to solve problems: "The pro is you might get an answer that you didn't expect. The con is also that you might get an answer that you didn't expect."Janelle's work has appeared in publications like The New York Times, Slate, The New Yorker, The Atlantic, and many more. In addition, she keeps readers up to date on recent projects and AI hilarity on her website, aiweirdness.com.The HostYou can learn more about Curious Minds Host and Creator, Gayle Allen, and Producer and Editor, Rob Mancabelli, here.Episode Linksaiweirdness.comErik GoodmanArtificial You: AI and the Future of Your Mind by Susan SchneiderAn AI Expert Explains Why There's Always a Giraffe in Artificial IntelligenceGPT-2An Artificial Intelligence Predicts the FutureOn the Life Cycle of Software Objects by Ted ChiangIf You Enjoyed this Episode, You Might Also Like:Kartik Hosanagar on How Algorithms Shape Our LivesSusan Schneider on the Future of Your MindAdam Waytz on the Power of HumanKat Holmes on the Power of Inclusive DesignCaroline Criado Perez on Invisible WomenSimple Ways to Support the PodcastIf you enjoy the podcast, there are three simple ways you can support our work. First, subscribe so you'll never miss an episode. Second, tell a friend or family member. You'll always have someone to talk to about the interview. Third, rate and review the podcast wherever you subscribe. You'll be helping listeners find their next podcast.Where You Can Find Curious Minds:SpotifyiTunesTuneinStitcherGoogle PlayOvercast