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.”

FAQ: Do you think that an increase in algorithms is leading to a decline in human judgement? (Online Journalism Blog)

Online Journalism Blog: FAQ: Do you think that an increase in algorithms is leading to a decline in human judgement?. “The latest in my series of FAQ posts follows on from the last one, in response to a question from an MA student at City University who posed the question ‘Do you think that an increase in algorithmic input is leading to a decline in human judgement?’. Here’s my response.”

TechCrunch: AI desperately needs regulation and public accountability, experts say

TechCrunch: AI desperately needs regulation and public accountability, experts say. “Artificial intelligence systems and creators are in dire need of direct intervention by governments and human rights watchdogs, according to a new report from researchers at Google, Microsoft and others at AI Now. Surprisingly, it looks like the tech industry just isn’t that good at regulating itself.”

MakeUseOf: What Could Robots Do With Your Pictures? 5 Cool AI-Based Photo Editing Apps

MakeUseOf: What Could Robots Do With Your Pictures? 5 Cool AI-Based Photo Editing Apps. “There’s a curiosity around AI that is difficult to quench. So far, we’ve seen how neural networks create paintings, but AI is now going beyond that. There are apps that are trying to ‘see’ photos the way a human would, and do useful or fun stuff based on it.”

MIT Technology Review: Your smartphone’s AI algorithms could tell if you are depressed

MIT Technology Review: Your smartphone’s AI algorithms could tell if you are depressed. “Depression is a huge problem for millions of people, and it is often compounded by poor mental-health support and stigma. Early diagnosis can help, but many mental disorders are difficult to detect. The machine-learning algorithms that let smartphones identify faces or respond to our voices could help provide a universal and low-cost way of spotting the early signs and getting treatment where it’s needed. “

MIT Technology Review: AI software can dream up an entire digital world from a simple sketch

MIT Technology Review: AI software can dream up an entire digital world from a simple sketch. “Creating a virtual environment that looks realistic takes time and skill. The details have to be hand-crafted using a graphics chip that renders 3D shapes, appropriate lighting, and textures. The latest blockbuster video game, Red Dead Redemption 2, for example, took a team of around 1000 developers more than eight years to create—occasionally working 100-hour weeks. That kind of workload might not be required for much longer. A powerful new AI algorithm can dream up the photorealistic details of a scene on the fly.”

Cornell Chronicle: AI project could lead to reliable forecasting – of fashion

Cornell Chronicle: AI project could lead to reliable forecasting – of fashion. “Doctoral students Mengyun Shi and Menglin Jia from Human Ecology’s Department of Fiber Science & Apparel Design, will draw on images and metadata from the Bloomsbury Fashion Photography Archive to explore smart and rapid archiving and classification of fashion images through the application of machine learning and artificial intelligence.”