University of Maryland Baltimore: Legal Scholars Dive into Implications of Deep Fakes

University of Maryland Baltimore: Legal Scholars Dive into Implications of Deep Fakes. “‘Imagine the night before an IPO, a deep fake video of the CEO comes out of the CEO soliciting a child prostitute or doing drugs,’ said University of Maryland Francis King Carey School of Law professor and privacy expert Danielle Citron, JD to a full house in the school’s ceremonial moot courtroom. ‘There goes the IPO, and the faith of the marketplace for the CEO is wrecked,’ she continued. Citron was the keynote speaker at the Maryland Law Review 2019 spring symposium, ‘Truth Decay: Deep Fakes and the Implications for Privacy, National Security and Democracy.'” The keynote speech for the symposium is available as embedded video at the end of the article.

CNET: This website uses AI to generate startling fake human faces

CNET: This website uses AI to generate startling fake human faces. “When you visit the website “This Person Does Not Exist” you will likely see a face smiling back at you. Seems innocent enough — until you realize the face is not actually real, but generated by a neural network algorithm. That person is not real. They don’t exist.” Based on my playing with this, AI has the most problems with ears, teeth, and hair.

Wired: A New Tool Protects Videos From Deepfakes and Tampering

Wired: A New Tool Protects Videos From Deepfakes and Tampering. “Video has become an increasingly crucial tool for law enforcement, whether it comes from security cameras, police-worn body cameras, a bystander’s smartphone, or another source. But a combination of ‘deepfake’ video manipulation technology and security issues that plague so many connected devices has made it difficult to confirm the integrity of that footage. A new project suggests the answer lies in cryptographic authentication.”

Deep Fakes: Let’s Not Go Off The Deep End (Techdirt)

Techdirt: Deep Fakes: Let’s Not Go Off The Deep End. “Much of the fear of deep fakes stems from the assumption that this is a fundamentally new, game-changing technology that society has not faced before. But deep fakes are really nothing new; history is littered with deceptive practices — from Hannibal’s fake war camp to Will Rogers’ too-real impersonation of President Truman to Stalin’s disappearing of enemies from photographs. And society’s reaction to another recent technological tool of media deception — digital photo editing and Photoshop — teaches important lessons that provide insight into deep fakes’ likely impact on society.”

dali lives: museum brings artist back to life with ai (Salvador Dali Museum)

With a tip o’ the nib to Laughing Squid, from the Salvador Dali Museum: dali lives: museum brings artist back to life with ai. “Visitors to the Museum will soon have the opportunity to learn more about Dali’s life and work from the person who knew him best: the artist himself. Using an artificial intelligence (AI)-based cutting edge technique, the new ‘Dali Lives’ experience employs machine learning to create a version of Dali’s likeness, resulting in an uncanny resurrection of the mustached master. When the experience opens, visitors will for the first time be able to interact with an engaging lifelike Salvador Dali on a series of screens throughout the Museum.”

Medium: How to recognize fake AI-generated images

Medium: How to recognize fake AI-generated images. “Here are some things you can look for when trying to recognize an image produced by a GAN [generative adversarial network]. We’ll focus on faces because they are a common testing ground for researchers, and many of the artifacts most visible in faces also appear in other kinds of images.”

MIT Technology Review: Inside the world of AI that forges beautiful art and terrifying deepfakes

MIT Technology Review: Inside the world of AI that forges beautiful art and terrifying deepfakes. “Using one neural network is really great for learning patterns; using two is really great for creating them. Welcome to the magical, terrifying world of generative adversarial networks, or GANs.”