It turns out that facial recognition neural networks can be trained to accurately recognize pain!The researchers were doubtless thinking of clinical medical applications — doctors are bad at objectively evaluating patients' expressions of pain and patients often don't self-evaluate effectively — but just think how much use this technology might be to a regime bent of using torture as a tool of social repression (like, oh, Egypt or Syria today).
These findings throw into stark relief the question of how counter-terrorism and wider security functions of governments in at-risk environments conduct themselves with regard to human rights and due process.
State security-actor conduct is revealed as a prominent accelerator of recruitment, rather than the reverse." In fact, the best defenses against generating recruits for extremist organizations seemed to be things like reduced social and eonomic exclusion (poverty), improved education, having a family background (peer pressure), and . (Not the CIA and USAF with their typical "oops" response whenever a drone blows up a wedding party they've mistaken for Al Qaida Central.) So, let me put some stuff together.
The idea of a transformative trigger that pushes individuals decisively from the 'at-risk' category to actually taking the step of joining is substantiated by the Journey to Extremism data.
A striking 71 percent pointed to 'government action', including 'killing of a family member or friend' or 'arrest of a family member or friend', as the incident that prompted them to join.
Firstly, the Gerasimov Doctrine which appears to shape Russian infowar practices against the west.
We've seen glaring evidence of Russian tampering in the recent US presidential election, including bulk buying of micro-targeted facebook ads, not focussing on particular candidates but on party-affiliated hot-button issues such as race, gay rights, gun control, and immigration.
We're living in a period where everything we do in public can be observed, recorded, and will in future provide the grist for deductive mills deployed by the authorities.
(Hideous tools of data-driven repression are emerging almost daily without much notice, whether through malice or because they have socially useful applications and the developers are blind to the potential for abuse.) Foreign state-level actors and non-state groupings (such as the new fascist international and its hive of internet-connected insurgents) are now able to use data mining techniques to target individuals with opinions likely to appeal to their prejudices and inflame them into activism. Transparency that runs up as well as down the personal-institutional scale.
And some of the potential applications of neural network driven deep learning and machine vision are really hair-raising.
We've all seen video of mass demonstrations over the past year.
And this has created a battlefield where indirect stealth attacks on elections have become routine to the point where savvy campaigns pre-emptively place bait for hackers. The United Nations Development Program recently released a report, Journey to extremism in Africa: drivers, incentives and the tipping point for recruitment that pointed out the deficiencies in the Emperor's wardrobe with respect to security services.