June 07, 2018
Norman always sees the worst in things.
MIT scientists created an AI-powered psychopath named Norman
That's because Norman is a "psychopath" powered by artificial intelligence and developed by the MIT Media Lab.
Norman is an algorithm meant to show how the data behind AI matters deeply.
MIT researchers say they trained Norman using the written captions describing graphic images and video about death posted on the "darkest corners of Reddit," a popular message board platform.
The team then examined Norman's responses to inkblots used in a Rorschach psychological test. Norman's responses were compared to the reaction of another algorithm that had standard training. That algorithm saw flowers and wedding cakes in the inkblots. Norman saw images of a man being fatally shot and a man killed by a speeding driver.
"Norman only observed horrifying image captions, so it sees death in whatever image it looks at," the MIT researchers behind Norman told CNNMoney.
MIT scientists created an AI-powered psychopath named Norman
Named after the main character in Alfred Hitchcock's "Psycho," Norman "represents a case study on the dangers of Artificial Intelligence gone wrong when biased data is used in machine learning algorithms," according to MIT.
We've seen examples before of how AI is only as good as the data that it learns from. In 2016, Microsoft (MSFT) launched Tay, a Twitter chat bot. At the time, a Microsoft spokeswoman said Tay was a social, cultural and technical experiment. But Twitter users provoked the bot to say racist and inappropriate things, and it worked. As people chatted with Tay, the bot picked up language from users. Microsoft ultimately pulled the bot offline.
The MIT team thinks it will be possible for Norman to retrain its way of thinking via learning from human feedback. Humans can take the same inkblot test to add their responses to the pool of data.
According to the researchers, they've received more than 170,000 responses to its test, most of which poured in over the past week, following a BBC report on the project.
MIT has explored other projects that incorporate the dark side of data and machine learning. In 2016, some of the same Norman researchers launched "Nightmare Machine," which used deep learning to transform faces from pictures or places to look like they're out of a horror film. The goal was to see if machines could learn to scare people.
MIT has also explored data as an empathy tool. In 2017, researchers created an AI tool called Deep Empathy to help people better relate to disaster victims. It used technology to visually simulate what it would look like if that same disaster hit in your hometown.
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SkyPixel 9th Annual Photo & Video Contest Winners Announced
Mar 19, 2024
Competition Receives a Record Number of Submissions that Highlight the Power of Innovation SHENZHEN, China, March 19, 2024 /PRNewswire/ -- SkyPixel, one of the world's most popular online communities for aerial photography and videography, today announces the winners of the SkyPixel 9th Annual Photo & Video Contest. Co-organized with DJI, this year's competition attracted over 130,000 submissions – a 100% increase from the previous year. The contest welcomed submissions from across the creator community, which includes professionals, aerial enthusiasts, and creative newcomers, showcasing their personal histories through the art of visual innovation. A Contest Shaped by You The SkyPixel Annual Photo & Video Contest is a testament to the power of innovation led imagery, honoring stories that shape the art of image capture both on solid ground and amidst the clouds. SkyPixel has cultivated a community-driven platform that reflects the dreams and aspirations of creators worldwide, and the annual competition has been a conduit for people who love image creation to express themselves as it authentically reflects the desires and aspirations of creators worldwide. Industry-Leading Judges The 9th Annual Photo & Video Contest was assessed by a Judging Panel of incredible professionals in the industry. In photography, seasoned experts include Wen Huang, a World Press Photo judge and Senior Editor, and Anne Farrar, Assistant Photography Chief Editor at National Geographic, Nan Li, the Photo Director of Southern Weekly, and Daniel Kordan, a renowned landscape photographer. In the video category, the judges include Michael Fitzmaurice, the Aerial Director of Photography of "Jumanji: Welcome to the Jungle," and Xiaoshi Zhao, known for his award-winning work on "Forever Enthralled." Bing Xi, a prominent figure in the Chinese TVC industry, and celebrated filmmaker Brandon Li round out the panel. After careful deliberation, the panel proudly presents the final winners for the year. 9th Annual Best Work Prize – Video: "Haines Alaska Through the Eyes of Luke Bredar" by Luke Bredar This year's video judging panel, which includes award-winning Cinematographers and Directors of Photography, chose Luke Bredar's video, "Haines Alaska Through the Eyes of Luke Bredar." This short film mixes heart-pounding action shots of a skier racing down a snowy mountaintop landscapes with breathtaking shots of Alaska's mountainous, winter terrain. Luke Bredar details the thought process behind the short film, "The motivation behind creating this video was to evoke themes of otherworldliness, objective risk, the interplay between risk and the essence of human spirit, solitude, impermanence, self-sufficiency, and the journey of incomplete wandering intertwined with heartbreak." This short film is an epic story made in collaboration with Matchstick Productions. Bredar explains how he pursues a better visual presentation through his creative process "I think to myself. How would my child self want to see this filmed? And I almost always get a clear vision in response. There are a myriad of challenges shooting aerial cinematography in mountain environments, but they are all ...Full story available on Benzinga.com
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