Technology is exponential but humans are not: Why Digital Ethics is an increasingly crucial topic (and some new keynotes)
“Technology can do great things, but it does not WANT ...
New interview with Emily Miller (Netapp) and Futurist Gerd Leonhard: Defining an Ethical Path For Technology (video)
This is a pretty good conversation imho:). Thanks to NETAPP ...
03
Jun 2019
New video: Exponential transformation? Why the future is better than we think – and why humans will still matter (Acquia Engage London 2018)
Brand-new talk from Acquia Engage London 2018! Thanks to Acquia ...
03
Nov 2018
The age of AI surveillance is here (via QZ.com – made me think)
“Facial recognition in still images and video is already seeping into the real world. Baidu is starting a program where facial recognition is used instead of tickets for events. The venue knows who you are, maybe from a picture you upload or your social media profile, sees your face when you show up and knows if you’re allowed in. Paris tested a similar feature at its Charles de Gaulle airport for a three-month stint this year, following Japan’s pilot program in 2016, though neither have released results of the programs.
US governments are already beginning to use the technology in a limited capacity. Last week the New York department of motor vehicles announced that it had made more than 4,000 arrests using facial recognition technology. Instead of scanning police footage, the software is used to compare new drivers’ license application photos to images already in the database, making it tougher for fraudsters to steal someone’s identity. If state or federal governments expand into deploying facial recognition in public, they will already have a database of more than 50% of American adults from repositories like DMVs. And again, the bigger the dataset, the better the AI.”
The age of AI surveillance is here
https://qz.com/1060606/the-age-of-ai-surveillance-is-here/
via Instapaper
US governments are already beginning to use the technology in a limited capacity. Last week the New York department of motor vehicles announced that it had made more than 4,000 arrests using facial recognition technology. Instead of scanning police footage, the software is used to compare new drivers’ license application photos to images already in the database, making it tougher for fraudsters to steal someone’s identity. If state or federal governments expand into deploying facial recognition in public, they will already have a database of more than 50% of American adults from repositories like DMVs. And again, the bigger the dataset, the better the AI.”
The age of AI surveillance is here
https://qz.com/1060606/the-age-of-ai-surveillance-is-here/
via Instapaper
31
Aug 2017
…the coming robot onslaught. Great read via Quartz
“Advances in supercomputers and the understanding of neural networks are combining to create a revolution in robotics, and companies eager for more profitability and cheaper production are ruthlessly grabbing the new technology to automate rote jobs.
Blue-collar workers—forget about it. The robots will kill off the positions of half a million oil-rig hands, up to half the industry’s workforce around the world, along with hundreds of thousands of warehouse employees, Amazon-ized by automated forklifts and other machines. Then there are the drivers—the navigators of taxis and long-haul trucks, who make up some 17% of the adult US work force, adding up to about 7 million people, to be replaced by robot cars if competition from Uber’s roster of of 1.5 million drivers doesn’t put them out of business first. Fast-food workers—the hard-working teens, first-generation immigrants, and return-to-work moms who are the bedrock of burger joints everywhere—are also on the firing line as ordering kiosks begin to take the place of human cashiers.”
No one is prepared to stop the robot onslaught. So what will we do when it arrives?
https://qz.com/940977/no-one-is-prepared-to-stop-the-robot-onslaught-so-what-will-we-do-when-it-arrives/
via Instapaper
Blue-collar workers—forget about it. The robots will kill off the positions of half a million oil-rig hands, up to half the industry’s workforce around the world, along with hundreds of thousands of warehouse employees, Amazon-ized by automated forklifts and other machines. Then there are the drivers—the navigators of taxis and long-haul trucks, who make up some 17% of the adult US work force, adding up to about 7 million people, to be replaced by robot cars if competition from Uber’s roster of of 1.5 million drivers doesn’t put them out of business first. Fast-food workers—the hard-working teens, first-generation immigrants, and return-to-work moms who are the bedrock of burger joints everywhere—are also on the firing line as ordering kiosks begin to take the place of human cashiers.”
No one is prepared to stop the robot onslaught. So what will we do when it arrives?
https://qz.com/940977/no-one-is-prepared-to-stop-the-robot-onslaught-so-what-will-we-do-when-it-arrives/
via Instapaper
15
Apr 2017
The dangers and challenges of the Internet of Things – crucial points made by Bruce Schneier
Bruce Schneier is one of the most brilliant thinkers when ...
11
Apr 2017
Brilliant EFF ad in Wired (message to the tech community re. Trump): your threat model has changed
EFF Ad in Wired: Tech Community Must Secure Networks Against ...
17
Jan 2017
Is this all about freedom versus security? Apple vs the FBI
Read Vivek Wadwha's take on Apple vs FBIRead NYT's opinion piece
19
Feb 2016
The US government vs Apple and Google’s: the smartphone encryption discussion
“The US government and police officials are in the midst of a misleading PR offensive to try to scare Americans into believing encrypted cellphones are somehow a bad thing.”
— Trevor Timm”
Yes... That just about says it all! This is why I like to use apple phones, btw - you pay for privacy.
— Trevor Timm”
Yes... That just about says it all! This is why I like to use apple phones, btw - you pay for privacy.
Feds only have themselves to blame for Apple and Google's smartphone encryption efforts | ZDNet
https://www.zdnet.com/article/feds-only-have-themselves-to-blame-for-apple-and-googles-smartphone-encryption-efforts/
via Instapaper
