A recent article in Wired (via /.) describes North Korean experiences with jailbreaking smartphones for access to forbidden foreign content. It would appear that the North Korean government’s system for surveilling online activity is much more invasive than its Chinese counterpart, but less technically sophisticated.
Interesting article in The Intercept last week about the purchase by the U.S. Treasury Department of app data harvested by private brokers, such as Babel Street, in order to circumvent the necessity of obtaining court warrants for searches of personal data.
Nothing shockingly new, but the article ends with a key quote from Jack Poulson, the founder of Tech Inquiry, a research and advocacy group:
“Babel Street’s support for the IRS increasing its surveillance of small businesses and the self employed — after the IRS has already largely given up on auditing the ultrawealthy — is an example of the U.S. surveillance industry being used to help shift the tax burden to the working class”.
I managed to catch a screening of the new Shalini Kantayya documentary, Coded Bias, through EDRi. It tells the story of Joy Bualomwini‘s discovery of systematic discrepancies in the performance of algorithms across races and genders. The tone was lively and accessible, with a good tempo, and the cast of characters presented did a good job showcasing a cross-section of female voices in the tech policy space. It was particularly good to see several authors that appear on my syllabus, such as Cathy O’Neil, Zeynep Tufekci, and Virginia Eubanks.
Interesting article in the MIT Tech Review (via /.) detailing research performed at Northwestern University (paper on ArXiv) on how potentially to leverage the power of collective action in order to counter pervasive data collection strategies by internet companies. Three such methods are discussed: data strikes (refusal to use data-invasive services), data poisoning (providing false and misleading data), and conscious data contribution (to privacy-respecting competitors).
Conscious data contribution and data strikes are relatively straightforward Aventine secessions, but depend decisively on the availability of alternative services (or the acceptability of degraded performance for the mobilized users on less-than-perfect substitutes).
The effectiveness of data poisoning, on the other hand, turns on the type of surveillance one is trying to stifle (as I have argued in I labirinti). If material efficacy is at stake, it can be decisive (e.g., faulty info can make a terrorist manhunt fail). Unsurprisingly, this type of strategic disinformation has featured in the plot of many works of fiction, both featuring and not featuring AIs. But if what’s at stake is the perception of efficacy, data poisoning is only an effective counterstrategy inasmuch as it destroys the legitimacy of the decisions made on the basis of the collected data (at what point, for instance, do advertisers stop working with Google because its database is irrevocably compromised?). In some cases of AI/ML adoption, in which the offloading of responsibility and the containment of costs are the foremost goals, there already is very broad tolerance for bias (i.e., faulty training data).
Hence in general the fix is not exclusively technical: political mobilization must be activated to cash in on the contradictions these data activism interventions bring to light.
A disturbing piece of reporting from Gizmodo (via /.) on the adoption by many US school districts of digital forensic tools to retrieve content from their students’ mobile devices. Of course, such technology was originally developed as a counter-terrorism tool, and then trickled down to regular domestic law enforcement. As we have remarked previously, schools have recently been on the bleeding edge of the social application of intrusive technology, with all the risks and conflicts it engenders; in this instance, however, we see a particularly egregious confluence of technological blowback (from war in the periphery to everyday life in the metropole) and criminal-justice takeover of mass education (of school-to-prison-pipeline fame).