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..
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)
Using social technologies to design therapies for children with Autism Spectrum Disorder
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.
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.
On the Democratisation & Escalation of Creativity — Chapter 01
The goal of this project is to find a set of guiding principles, metaphors and ideas that inform the development of a CreativeAI praxis, new theories, experiments, and applications. To explore this space, we investigate history and technology, construct a narrative and develop a vision for a future where CreativeAI helps us raise the human potential.
The machines will be able to enslave you in your native language.
As our technological and institutional creations have become more complex, our relationship to them has changed. We now relate to them as we once related to nature. Instead of being masters of our creations, we have learned to bargain with them, cajoling and guiding them in the general direction of our goals. We have built our own jungle, and it has a life of its own.
At first, the Go champion thought the move was rather odd. Then he saw it was wonderful.
But building voice technology on a 26-year-old corpus inevitably lays a foundation for misunderstanding. English is professional currency in the linguistic marketplace, but numerous speakers learn it as a second, third, or fourth language. Gavaldà likens the process to drug trials. “It may have been tried in a hundred patients, [but] for a narrow demographic,” he tells me. “You try to extrapolate that to the general population, the dosage may be incorrect.”
Seems like a huge problem of bias if voice systems are trained on such an old and narrow set of data.