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Five Ways in Which Platform Business Models Influence Workers’ Well-Being
“Management by metrics: in addition to managing internal product development with metrics, platforms can also manage their ecosystem through metrics. Ride-hailing platforms, for example, use metrics to manage their drivers who are obliged to achieve or avoid a given threshold as a pre-condition of continued participation on the platform.” Ok, I struggle to see a full “cyber” interest here, other than an interest in the future of technology and in particular “Mediation platforms” like Uber,AirBnB etc. This description of the information asymmetry between platform and operator is an interesting thought. I suspect that there’s actually an asymmetry inside the platform organisation, that the wealth of information and metrics can overload the platform company and make it hard to see the wood for the trees as well
newsletter  strategy 
13 days ago by bruntonspall
Fraser “ZeroXten” Scott presentation on threat modelling
A good overview of how security engineers might use the owasp cloud security project to review cloud architecture
newsletter  threatmodelling 
13 days ago by bruntonspall
May 2018 Newsletter, Volume 124
In the May 2018 OTW Newsletter: GDPR-related changes; AO3 reaches 1.5 million registered users; milestone reminders for OTW election season; and more!
Newsletter  OTW-Sections 
14 days ago by otw_news
Google-funded ‘super sensor’ project brings IoT powers to dumb appliances | TechCrunch
Interesting approach to smart homes based on one sensor board, enhanced by machine learning, that can kinda-sorta smarten up a home—as opposed to having to install expensive smart appliances. Obviously it only does sensing and not, for example, remote activation. But how it senses, and what it infers from its sensing, is impressive. There's some interesting stuff done here with data.
> "The system involves using a single custom plug-in sensor board that’s packed with multiple individual sensors — but, crucially from a privacy point of view, no camera. The custom sensor (shown in the diagram below) uses machine learning algorithms to process the data it’s picking up, so it can be trained to identify various types of domestic activity, such as (non-smart) appliances being turned on — like a faucet, cooker or blender."
newsletter  iot  smarthome  sensors 
15 days ago by thewavingcat
Globalise identity, not aadhaar: Using one single database and identity management scheme for everything will not work
Aadhaar, India's centralized identity database is based on the premise that strong and fast identity verification helps deliver better basic services to all citizens—especially the poorest and most vulnerable—but has already be shown to be insecure. Not that it needed proof, it's an inherent weakness of highly centralized databases of valuable data. So we have a good idea here, but implemented with huge and dangerous flaws. So should we scale it up worldwide? Eben Moglen and Mishi Choudhary nail it:

> "Because the premise of Aadhaar is correct, the Indian government has an enormous political stake in ignoring the flaws and shutting down public conversation. Globalising Aadhaar’s ambition is a worthy goal for the world’s social welfare policy makers, including the World Bank and Gates Foundation. Imitating a system that has barely reached version 1.0 and is already showing serious architectural flaws would be serious policy malpractice."
newsletter  identity  politics  policy  security  privacy 
15 days ago by thewavingcat
A few words on Doug Engelbart
"Almost any time you interpret the past as "the present, but cruder", you end up missing the point. But in the case of Engelbart, you miss the point in spectacular fashion."

A fantastic bit of thinking about how to consider the work—and thinking!—of Douglas Engelbart, about which I feel I know a fair bit but not nearly (!) enough. Especially the point about designing for a shared intellectual space strikes me as really powerful.
newsletter  interface  history  design 
15 days ago by thewavingcat
UK homes vulnerable to 'staggering' level of corporate surveillance | Technology | The Guardian
This Guardian article starts to strongly, I'd like to just let this one speak for itself. Note the subject matter, but also the terminology used in describing that matter, all of which is really powerful:
> British homes are vulnerable to “a staggering level of corporate surveillance” through common internet-enabled devices, an investigation has found.
> Researchers found that a range of connected appliances – increasingly popular features of the so-called smart home – send data to their manufacturers and third-party companies, in some cases failing to keep the information secure. One Samsung smart TV connected to more than 700 distinct internet addresses in 15 minutes.
> The investigation, by Which? magazine, found televisions selling viewing data to advertisers, toothbrushes with access to smartphone microphones, and security cameras that could be hacked to let others watch and listen to people in their homes.
> The findings have alarmed privacy campaigners, who warn that consumers are unknowingly building a “terrifying” world of corporate surveillance.
newsletter  thingsconNL  privacy  surveillance  iot 
15 days ago by thewavingcat
AI at Google: our principles
Google announced their principles for approaching AI. There's quite a bit about what Google aims to pursue, but I'd like to focus on the things that Sundar Pichai says they will *not* pursue instead:

1. Technologies that cause or are likely to cause overall harm. Where there is a material risk of harm, we will proceed only where we believe that the benefits substantially outweigh the risks, and will incorporate appropriate safety constraints.
2. Weapons or other technologies whose principal purpose or implementation is to cause or directly facilitate injury to people.
3. Technologies that gather or use information for surveillance violating internationally accepted norms.
4. Technologies whose purpose contravenes widely accepted principles of international law and human rights.

He notes that they will continue to work with governments (presumably multiple) and the military (presumably US only?), for anything but "AI for use in weapons". So there's a big area of potential engagement that might still be problematic, but it's interesting and pretty good anyway. What I'm not sure with is the alignment with one country's military but not others: Is that good, bad, understandable, necessary, or maybe a really bad idea? I'm honestly not sure at this point. Needs more mulling over. But overall, these principles are pretty much what you'd want to see.

(Full disclosure: I've worked with Google on multiple occasions.)
newsletter  ai  google  ethics  military 
15 days ago by thewavingcat

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