It’s easy to love or hate technology, to blame it for social ills or to imagine that it will fix what people cannot. But technology is made by people. In a society. And it has a tendency to mirror and magnify the issues that affect everyday life. The good, bad, and ugly.
Source: What World Are We Building?
Can design advance science, and can science advance design?
Source: Design and Science
Today, MIT Tech Review reports on a new effort led by Tobias Weyand, a computer vision specialist at Google, to create a computer that sees a photo and can instantly figure out where in the world it’s from. The system was fed over 90 million geotagged images across the planet, and trained to spot patterns based on location.
Source: Google’s New AI Can Tell Where Your Photo Was Taken Without Using Geotags
So we fired up Telegram, added some bots to our contact list, and started chatting. And here’s the resulting chat, screengrabbed for your edification.
Source: Chats with Bots | BBH Labs
Artificial intelligence technology seems almost magical, but the experts say that success will rely on business virtues like focus, flexibility and speed.
Source: Start-Up Lessons From the Once-Again Hot Field of A.I.
Fifteen miles away from where Larry Page and Sergey Brin worked out of their first office developing the technology that would become Google, a team of..
Source: Meet Brain, The AI Engine That Wants To Replace Search
News bots will require a new approach to sensitive notions such as user profiling and opt-in systems. For both users and media, the potential upside is immense. (Part 2/2)
Source: News bots As Appetence Engines – Monday Note
Using social technologies to design therapies for children with Autism Spectrum Disorder
Source: Artificial Intelligence in Special Education | DesignMind
AI–driven products will involve new workflow, different sets of moving parts, and new type of relational logic. One way to untangle this problem is to find a common, ubiquitous element in today’s digital design, and consider how likely is it to change.
Source: Why Should Designers Care About AI? | Nitzan Hermon | Pulse | LinkedIn
MVC, in its current format, can’t handle new technologies such as machine learning and artificial intelligence. These new environments will require new and far more complex architectures (MVC shortcomings are already apparent). For design this is likely to be as much of a defining experience as the shift from print to digital. It is fascinating to think about the fact that we’re reaching a point where we will be designing systems, quite literally, instead of views.
Source: Design for AI: Thinking Beyond MVC