Here’s a few interesting things I’ve stumbled across in the past few weeks…
“Lab grown meat is coming whether you like it or not.”
“The random walk of cars and their collision probabilities with planets“
“Boston Dynamics crosses new threshold with door-opening dog“
I hope you enjoy them.
It’s a well-known saying among writers that you have to read to write. I imagine that’s the same for any craft – the more you see of other people’s work the better your own becomes.
I’m in the fortunate position at the moment of being the lead-curator for a series of science fiction events themed around the near-future (links to them are on my future events page). This means that not only do I get to read all the submitted stories and choose the best with my co-curator, I also get to hear the authors read their stories on the night.
And, it may sound like a cliché, but it really is a privilege.
Talking of which, it’s also incredibly pleasing that Vector, the critical journal of the British Science Fiction Association, has published an article on the thinking behind these Near-Future Fiction events.
An article in Wired magazine – Don’t Make AI Artificially Stupid In the Name of Transparancy – suggests solutions to the governance of machine learning.
For some reason, it reminded me of a story I read some years ago. In 1968 a three year experiment of not changing the clocks from BST resulted in fewer road traffic deaths; data suggested more people were injured in the darker mornings, but fewer people were injured in the lighter afternoons.
Although I can’t validate it, I was told that the reason the scheme was scrapped was because, despite there being fewer deaths overall, the media focussed on the ones that did happen as a result of the experiment.
It seems to me that we have a similar problem with artificial intelligence – we’re in danger of focussing on the errors not the benefits. Desperately trying to understand what went wrong and limiting its potential as a result. What the Wired article attempts to do is find solutions that mean we can make the most of AI rather than dumbing it down so we can understand it, and hence control it.
One of the major challenges for the media will be to give a balanced view, rather than taking the easy route of selling bad news. And, it’s also a challenge for us science fiction writers to portray nuanced futures that have both hints of hope and words of warning.
photo credit: campra Kader Attia, Untitled via photopin (license)