We don’t have Alexa, so to be funny, I yelled at my TV, “Alexa, pause the movie!”
And Alexa did.
And we looked around like 😮.
Turns out a new remote we got for our old Firestick turned my TV into Alexa. So now I’m looking around. Anything could be Alexa. Toaster, throw rug.
— Robin DeRosa (@actualham) June 22, 2019
Amazon’s Ring doorbells are surveillance devices that conduct round-the-clock video surveillance of your neighborhood, automatically flagging “suspicious” faces and bombarding you and your neighbors with alerts using an app called “Neighbors”; it’s a marriage of Amazon’s Internet of Things platform with its “Rekognition” facial recognition tool, which it has marketed aggressively to cities, law enforcement, ICE, businesses and everyday customers as a security measure that can help ID bad guys, despite the absence of a database identifying which faces belong to good people and which faces belong to bad people.
Our guide recommends some tools you can use to spot internet-connected devices. But keep an eye out for random bottles of Mountain Dew, too.
Of course, foldable displays won’t be limited to devices we carry in our pockets. We’re going to see them pretty much everywhere — round our wrists, as part of our clothes, and eventually as ‘wallpaper’ in our houses. Eventually there won’t be a surface on the planet that won’t also potentially be a screen.
- What if everyone was talking at once? What would that look and sound like?
- What about the conversations that may not be appropriate for speaking out loud in public or in private.
My other question is uses beyond the novel. Yeah I can ask Google a question or play a track from The National, but what else? I am really interested in what particular workflows you develop in conjunction with your smart things.
NOTE: I have written this response in the open web and respect your desire to restrict such conversations to paying subscribers, which I am not one, sorry.
Just this month, the insurance company United Healthcare began partnering with employers to offer free Apple Watches to those who hit certain fitness goals. Insurers might also offer benefits to residents whose homes prove their fitness or brand loyalty—and punish those who don’t. Health insurers could use data from the kitchen as a proxy for eating habits, and adjust their rates accordingly. Landlords could use occupancy sensors to see who comes and goes, or watch for photo evidence of pets. Life-insurance companies could penalize smokers caught on camera. Online and in person, consumers are often asked to weigh privacy against convenience and personalization: A kickback on utilities or insurance payments may thumb the scales in Google’s favor.
To badly paraphrase Tolstoy: Secure products are all alike; every not-secure product is not secure in its own way.
Facebook – sure, we may have sold your most intimate data to the Russkies, installed a cryptofascist in the whitehouse, engendered genocide in Myanmar and the slaughter of hundreds of innocent people across the developing world, and (just this last week) got caught leaking user data of at least 50,000,000 people, but you should totally allow our always-on microphone and camera into your home! Trust us!
Although it uses incredibly imprecise language, it can be reasonablly inferred that the directive targets large service providers like Google and Facebook. It doesn’t target small communities or people who are independently hosting their content.
All of which means that peer-to-peer decentralized social networks are exempt, if you’re hosting your profile yourself. Nobody on the indie web is going to need to implement upload filters. Similarly, nobody on the federated social web, or using decentralized apps, will either. In these architectures, there are no service providers that store or provide access to large amounts of work. It’s in the ether, being hosted from individual servers, which could sit in datacenters or could sit in your living room.
I remember Ross Halliday focusing on what might be deemed as ‘IoT for education’ at GTASyd. It is an interesting space. I can see the potential for it in education, but at what cost? For what impact? Here I am reminded of Marshall McLuhan’s tetrid:
- What does the medium enhance?
- What does the medium make obsolete?
- What does the medium retrieve that had been obsolesced earlier?
- What does the medium reverse or flip into when pushed to extremes?
I recently finished reading Ben Williamson’s book on Big Data in Education. Although not solely on this topic, definitely relates and worth reading.
The only way to challenge surveillance is through counter-surveillance Source
It is interesting to juxtapose this with a comment that Mark Burden recently made that it is the Internet of Data Collection Instruments.
In terms of the device collectors, in some ways they are delighted about this passivity because it reveals behaviours that we wouldn’t necessarily reveal if we knew data about us was being recorded. So in that sense when you think about what is now called the internet of things, the very label ‘the internet of things’ is a misleading label, in fact it’s a label that I think should be put in a wastepaper basket. What we are really talking about is the internet of data collection instruments. And these instruments rely on our passive behaviours in order to collect the data from the environment and about us in relation to what we do in those environments. And what we are now starting to see is that the smart home, or what is becoming increasingly the smart home, is being packed with these devices.Source