“An impoverished preacher who brings hope to the Miami projects is offered cash to save his family from eviction. He has no idea his sponsor works for the FBI who plan to turn him into a criminal by fueling his madcap revolutionary dreams.”(IMDB)
Altough it may appear completely preposterous this shows another facet of the FBI. Conspirative thought is the bread and butter of the Alphabet agencies (CIA, FBI, NSA to just name the most famous). Obsessing over anarchist conspiracy or internationalist anti-colonial revolutionary networks characterized the work of the British or French secret service very early on. Digital theoretician Alexander Galloway classified “conspiracy is a kind of network thinking, appropriate for a networked world.” – in this sense, the FBI is either a purveyor of conspiracies or – if need be a fabricator. We should also not consider the agencies as all-powerful, the bigger they are the bigger their footprint (not only carbon) the larger their propensity to fail miserably. One of the effects of the War on Terror has meant that a lot of vulnerable and poor racially discriminated communities practically got entrapped into playing the role of the terrorist and the baddie – and this movie pokes fun at this situation. The demography of the US is changing in universities (as the current protests demonstrated) and this is one of the lynchpins of the right manifested as ‘replacement’ bogus fears. What is being replaced is their sense of entitlement and laissez-faire that made sure inequality followed racial and heteronormative lines. In a sense, it speaks both of the ways these agencies work against the very citizens they aim to protect and of the way capitalism always finds a fall guy in those who are already in a sense marginal and powerless while protecting the brazen and unaccountable.
In the case of the Liberty City Seven – seven black construction workers and members of a small Miami, Florida-based religious group who called themselves the Universal Divine Saviors got baited by the FBI. I guess here is the agency of the almost all-powerful hegemonic US – representing the NSS as something more akin to a horrible farce (on those who had to pay with their lives or with prison). Russiagate, Epstein, Pizzagate, now TikTok CEO hearings or the president signing a bill that could ban Tiktok, seems to be all about the Paranoid Style in American Politics, an essay penned by US historian Hofstadter but also about the shadow of McCarthyism coming to haunt today’s geopolitical strains.
As Jameson put it in The Geopolitical Aesthetic, quoted by Galloway, the conspiracy means “a potentially infinite network, along with a plausible explanation of its invisibility.” The cabal must be massive and interconnected, yet despite everything the plots remain somehow veiled, just beyond one’s grasp.” In the end, this movie is about systemic racism and economic relations in today’s world and the richest and most powerful nation on earth, and how easy it is to fabricate subversive groups while the biggest subversion (the subversion of Democracy with the help of techno-capitalism) remains in plain sight for all to see. The TW below has everything wrong in the title (Balaji never mentioned that he wanted to ethnically cleanse SF – but the more important takeaway is the way techno-libertarians right wants to appear endangered and under threat by ‘woke’ assimilation).
đ§ľTo understand what's happening in San Francisco today, you must examine the extremist politics of the "Network State" cult. For the @NewRepublic, I wrote about Balaji Srinivasan, an influential tech baron seeking to âethnically cleanseâ SF. ReadâĄď¸ https://t.co/SMTd4Mo441 âŹ ď¸ pic.twitter.com/1uoZOjjcO3
Living in Berlin on and off during the last 30 years has made me acutely aware of the increasing number of homeless in Germany’s capital during the last 3-year span, basically since the price shock has overlapped with other shocks.
What is the cause for this? Well, it is very simple, and it went on unimpeded for decades, it basically meant a war on the poor and ended up transforming cities into unaffordable places and countries with infrastructures that were not buit for the 21st century capitalism.
A look at the figures shows just how dire the situation on the German housing market really is: There is a shortage of over 800,000 apartments in Germany, a figure that is growing. More than 9.5 million people, mostly single parents and their children, live in cramped conditions, according to the Federal Statistical Office. (source DW)
Berlin now looks more and more like SF, and maybe that is a sign of how much inequality is affecting Germany (its index lies close to the US) combined with a lack of affordable housing.The invisibility of poverty in Germany is also part of why it is hardly being addressed, but many have pointed out the strain put on the lower half of the population or what is termed “seller’s driven inflation”, practically driven by rising consumer prices in parallel with energy prices. Certain vulnerable categories are particularly affected by homelessness: women, migrants, LGBTQ+ etc. Australia has now around 500.000 women over 50 or around 50 years old who according to the documentary are on the brink of homelessness. I urge everyone to watch this documentary to get acquainted with the lives of persons who are no different than we are and who’s lives have been affected almost overnight and without any preparation.
This âsellersâ inflationâ happens when the corporate sector manages to pass on a major cost shock to consumers by increasing prices to protect or enhance its profit margins. Of course, not all firms have won equally. The bottom line is that sellersâ inflation results in an increase in total profits. This simple truth led Adam Smith to warn, 250 years ago, that profits can drive price pressures. (Isabelle Weber)
“The gap between rich and poor continues to widen in many developed nations. The result: more and more people are finding themselves homeless, with women making up the fastest-growing affected group. They live in their cars or camper vans, sleep on friendsâ couches or end up in short-term accommodation: Homelessness in industrialized nations is a growing problem, and increasingly affects the middle class, as well as the poor. While the wealthy can also lose everything, the middle classes are the ones coming under more and more pressure from the ever-present threat of joblessness. Itâs a problem also affecting migrants and indigenous communities. Increasingly difficult socio-economic conditions in rich countries are leading to a sharp rise in poverty. The documentary profiles some of those affected in Australia: women whoâve not lost their optimism and humor despite their personal hardship.” (Youtube)
“OlĂşfáşšmi TĂĄĂwò guest hosts an interview with Daniela Gabor and Ndongo Samba Sylla on how financial power has shaped the global economic order under capitalism from colonialism through Bretton Woods, the Washington Consensus, and today’s Wall Street Consensus.Â
Here is 2h of the most intense and informative talk I got to listen to recently. I totally recommend both of them to follow in TW/X – if you are still on that platform. We had some previous posts on economy and political economy and inflation, but this one is truly essential for everyone interested in how global financial institutions came to exist and how the dollarisation of the world after WWII came to dominate our lives. It is also a very good introduction into two important theories that have lost the battle in the market of ideas – but are increasingly resuscitated in order to make sense of the rising unequal exchanges, dependencies, and monetary imperialisms that structure the Global North/Global South axis in capitalism: Dependency theory and World-systems theory. What is important is that both of them (one from Eastern Europe and the other from Equatorial Africa) advocate for a new global economic system where the Global South is at its center (the so-called “Bandung Woods” named after the Afro-Asian or Asian-African Bandung Conference in 1955 Bandung, Indonesia) to replace the Washington (or now Wall Street) Consensus.
Most of what I am saying here tries to approximate what the two eminent (imho opinion) macroeconomists and monetary sovereignty experts spell out. I am going to quote in full Gabriela Gabor (who happens to be a Romanian born) from the written version of the interview (available here).
DANIELA GABOR:
The Washington Consensus is in a sense a marker of who makes the rules in the global economic system, and that was Washington. Its intellectual father was John Williamson. He was quite reluctant to recognize himself as an intellectual father, because very quickly, the Washington Consensus was dubbed as a neoliberal consensus. I think itâs best described as a holy trinity of economic policies that were prescribed to countries, particularly in Latin America. This was a âwhatâs-happening-in-our-backyardâ type of arrangement for the United States.
The three pillars of the Washington Consensus were economic stabilization, privatization, and liberalization [my emphasis). Economic stabilization basically meant the central banks have to target inflation and to keep prices stable; privatization meant trying to reduce the footprint of the developmental state in the economy by preventing the state from allocating capital or getting involved in production through state-owned companies or enterprises; and liberalization of international trade meant removing trade barriers, but also liberalization of prices domestically by not using price controls and removing subsidies as much as possible.
This is interpreted as an attempt to change the balance between the state and the market. Of course the states vs. markets framework is a crude description because the state had to construct certain markets. But it is true that the Washington Consensus was a policy paradigm and a political project to kill off the developmental state. In the 1950s and â60s, the developmental state, under what we describe now as heterodox economic ideas, attempted to design a national development strategy in a context of deteriorating terms of trade.
For developing nations, the question was, how do we make sure that we will get paid better for our exports than what we have to pay for our inputs? That typically meant industrial upgrading. That typically meant having a good industrial policy. It typically meant having some form of financial repression, which subordinated the domestic banking system to the needs of the industrial policy. It meant some form of a social contract with domestic capital and also with foreign capital, but mostly domestic capital, to make sure that domestic capital worked together with the state for industrial policy purposes.
The Washington Consensus is basically a political project to dismantle this developmental state and instead to bring in the market as the mechanism to allocate resources. The state doesnât disappear of course. But what we know is that the state that is useful for citizens in a sense disappears because you have an increasing removal of the state from the provision of public goods, one way or another, under the idea that the market can do things better than the state.
In the postwar era, you have the Bretton Woods institutions that are pushing this Washington Consensus all over the world. Wherever the IMF or the World Bank go, they leave a trail of structural adjustment programs. You have the IMF pushing for stability and particular forms of monetary and fiscal austerity under the Washington Consensus. There is an increasing recognition toward the end of the 1990s that this has meant a lost decade for Latin American countries, that it produced a lot of poverty across African countries that were forced to adopt them. Of course there are certain domestic political constituencies that preferred the Washington Consensus rules simply because they align well with the aims of right-wing politics.
By the early 2000s, Bretton Woods institutions become a bit more unwilling to promote the more radical elements of the Washington Consensus. This leads to what is called now the PostâWashington Consensus, which is a recognition that there are market failures. The idea is that if there are market failures, then of course the state is necessary. So you donât have the resurrection of the developmental state, but you have the resurrection of the state as a regulator that tries to correct market failures but doesnât allocate capital or doesnât interfere with market signals. It corrects the signals if those have gone wrong one way or another.
In some ways we still have that now, because all discussions about carbon prices, for example, have to do with how to achieve the low-carbon transition; they rest on the idea that the state doesnât need to do a lot more than just correct the failure of the market to price the climate crisis.
I am from the generation whose parents suffered the consequences of the IMF and World Bank austerity policies. You could see concrete impacts because many people were fired from their jobs, for example, because one of the ways to implement these structural adjustment policies was for the state to clean up its own budget. That means limiting its spending, and one way to limit the spending is to cut health expenditures and education expenditures and also to get rid of some civil servants.
Reduced state budgets also meant less investment and less open-door immigration policies. That has been the impact. Thatâs why if you look at the development trajectory of Africa and compare that to Asia, you would see that the most significant difference came after the 1980s. This is because Asian countries were not subject to IMF and World Bank policies in the 1980s and 2000s.
Some countries, for example, Cote dâIvoire, Senegal, and Niger â their real GDP per capita in, say, 2015 was lower than their best level of real GDP per capita before implementing the IMF and World Bankâs policies.
Thatâs a clear indicator of the failure of these kinds of policies. But their primary aim was to prevent the emergence of the developmental state. There are many things people say about Africa, but the first two decades were developmental decades, despite all the shortcomings and despite the many proxy wars. But the leaders were really committed to creating some development, and you can see that in the work by the African economist Thandika Mkandawire.
he Wall Street Consensus (WSC) is an elaborate effort to reorganize development interventions around selling development finance to the market. The Billions to Trillions agenda, the World Bank ‘Maximizing Finance for Development’ or the G20 ‘Infrastructure as an Asset Class’ all call on international development institutions and governments of poor countries to âescort capitalâ â the trillions of institutional investors â into âinvestable development bondsâ, preferably in local currency. For this, the 10 WSC commandments aim to simultaneously reorganize local financial systems around bond market-based finance and forge the de-risking state. The state derisks bond finance for institutional investors by extending guarantees and subsidies to cover (i) demand risks attached to user-fees for (PPP) infrastructure, (ii) political risk attached to policies such as nationalization, higher minimum wages and climate regulation, (iii) climate risks that may become part of regulatory frameworks as material credit risks and (iv) bond market (liquidity) risks that complicate foreign investorsâ exit from development assets. The WSC narrows the scope for a green developmental state that could design a just transition to low- carbon economies.
Like any other successful capitalist society, Germany sports some of the highest inequality rates in the world (according to the Gini Inequality researchers Julia Friedrichs and Jochen Breyer have also made a documentary for the German ZDF channel – sadly it is not yet available on English translation, but I felt it was important to post about it here to complete the last series of dedicated posts. Currently, as of 2023, Germany has 237 billionaires (China has 969 and US has 691 resident billionaires). This is a really insightful look into the special tax counseling the rich get. A majority of the secretive richie rich refused to be interviewed but a few accepted – so Jochen Breyer goes on their private jets and yachts to get their opinion on several key issues. So even if the others seem especially camera shy, we still get to meet Hans-Peter Wild (majority holder in Wild Flavors – maker of Capri Sun and leading manufacturer of so-called natural flavors for the food industry) and one of the richest people in Switzerland (he left Germany long ago for the Swiss tax and banking heaven). Billionaires are also a highly volatile transnational bunch, so in order to satisfy their tax phobia, states or rather their governments are constantly lowering taxation and establishing special Economic Zones beyond the purview of democratic regulatory means of control. They also exert incredible influence on policy for a so-called social market state that prides itself on its social welfare programs and democratic values.
“When it comes to monitoring elite wealth, the sources are much scarcer. Forbes magazine counted 117 individual German billionaires in 2023. But since large wealth is organized in family holdings, it is more meaningful, as Germanyâs Manager Magazine does, to count billion-euro âfortunesâ (Vermoegen). The Magazine in 2023 counted 226 such fortunes. The list, however, is clearly incomplete. And the magazine has acknowledged that it has been subject to behind-the-scenes legal pressure to omit several notable families.
We know this startling fact thanks to a new surge of public interest in inequality in Germany. German activists are beginning to flex their muscles and unlock the power of expose and muck-raking. Websites like ungleichheit.info do a great job telling the dramatic story of inequality.”
The two richest German families own more wealth than the bottom half of the German population.
And if the data is to be believed, by the 2010s German wealth-holding was more concentrated than in any other European society (!!). In terms of the gini coefficient (Gini ratio= a measure of statistical dispersion intended to represent income inequality, the wealth inequality, or the consumption inequality), Germany is closer to the US (wealth gini 0.81-0.86), than other European countries like France and Italy who have a gini closer to ex-socialist countries like Czech Republic or Poland.
timespace coordinates: 2036 – 2037 Atlanta (Years into a benevolent alien occupation of Earth, the human race is still adjusting to the new world order and its quirky coffee table-sized overlords called the Vuvv. Their flashy advanced technology initially held promise for global prosperity, but rendered most human jobs – and steady income – obsolete.)
Cory Finley took inspiration from several Bravo TV shows, especially the Real Housewives and Below Deck series, when making the film. He drew parallels between the themes of surveillance and people having to film and commoditize their love and humanity.
“When MIT Media Lab researcher Joy Buolamwini discovers that facial recognition does not see dark-skinned faces accurately, she embarks on a journey to push for the first-ever U.S. legislation against bias in algorithms that impact us all.”
This is probably one of the most important documentaries to address many issues that are not any longer strictly the domain of SF. Cod Bias is definitely within the bounds of any socially inflected SF worlds u can think of. Maybe it used to be just the figment of dystopian – Cold War tinged imagination, but now it is very much part of ours. Made me actually mentally revisit theat primordial Silicon Valley 1984 promo – the ad for Apple Macintosh PC released in December 1983. Feels puzzling how this new televised technological muscle was part of a much wider and concerted Reaganite response to the -(still) Socialist East. ‘Free World’ computing as easily turned and facing off the eponymous Orwellian 1984 villain, a drab, grey, docile citizenry of the standardized monolithic solid-state, the ideological ‘other’ where a repressive & monstrous surveillance apparatus – (be it Securitate/Stasi) enforced obedience & ‘rightminding’. Only that, in retrospect, the newly competitive Silicon Valley product was a launch-pad for a much wider privacy Dragnet and much more insidious scope and certainly fancier in looks & design. Buying into a system of personal, automated & generalized consumer surveillance that also brought the pretense of neutral, un-biased coding.
Coded Bias documentary is the strongest advocacy of algorithmic justice i have seen, watched or heard of. A critical introduction to the current algo-capitalistic trends & as well as some of the ways needed to counter act AI-supported disparities & disenfranchisement. It is no mystery that you actually need people from across the board, including industry ppl (call them what u want, ex- Quants/former flash trading brokers, tech renegades, whistle-blowers, technological deserters, industry watchdogs, etc). Yes, not only EFF members, STEMs, geeks and blerds, but also people from the social housing blocks, the hood, the street corner youngsters and those with migrant-background – those that are primary targets and have been already mis-measured, data stripped and data mined and whose bodies and faces are literally the training grounds of computational modernity. Most of them, are the unwilling informants and unpaid trainers of emerging tech deployments that under-girds surveillance capitalism.
One of the most important takes from this documentary – was for me the counter-intuitive demonstration that goes against old cyberpunk sayings (paraphrasing: ‘the future is already here but it is just unequally distributed’). In the 21st c we learn time and time again, that the 1%, or 10% or the rich, powerful and wealthy are not the future’s bleeding knife- since they have mostly lived live of unfettered privacy and non data retention. They are not a tested minority, and clearly not the ones who get first unwanted access beforehand and do not suffer the effects of those things that will get distributed later one a vast scale. In fact (as one of the participants of Coded Bias points out) – the post-apocalyptic poor, the unprotected, those with previous histories of discrimination, enslavement, incarceration, abusive family background, profiling etc those already under some state of surveillance, registration and control (ID checked mostly in terms of constituting some form of risk), are the ones who suffer the blunt of these new technologies.
They are the un-glamorized testers of unequal futures, and not the privileged rich beta testers that mostly seem to opt-out of their own companies technological wonders. Accordingly, technological transformation is so important that it should not be defined just in terms of access – or left at the whim of company board members, Big Tech, Innovation hubs or ‘smart’ city planners & cheerleaders. It is not just a question of ‘users’ – since it is about the ‘used’ more than the users nowadays. It is – without nostalgia or pre-technological naivity in tow, that in spite – of these tremendous and complex planetary changes, legislation and lobbying for digital rights & accountability seems to lag behind, since both public attention and consciousnesses gets bypassed. Direct oversight and regulation or consciousness itself seems so trivial, and yet it is constantly remade into a threshold to be bypassed by the free markets & mantras hailing for ‘disruptive’ transgressions. Nonetheless, there is this incredible alliance and (as seen below) a lot of initiatives have sprung up, that espouse not just a neo-Luddite conviction, but one of tekk-savvyness, informed by the above ‘renegades’and industry insiders and/or burnouts as well, by previous historical black liberation examples as by the new empowering SF alternate histories (i see some clear signs of Wakanda there) having been written (thinking about Solomon Rivers,Nalo Hopkins and Nisi Shawl & others here) or waiting to be written in collaboration with automated text generators or not.
There is emerging calls from both government and by popular demand to at least be able to opt-out of these technologies in the US and EU (face recognition being just the most obvious case), altough I’m not sure about the vast majority of the world (which is clearly not from the Global North) or even the accelerating use & deployment of drone wars & DARPA abroad in the wake of protracted but inevitable US retreat from Afghanistan. There of course the possibility to learn how optical governance works or is put to use/abused in other parts of the world, since the West does not hold the monopoly over AI. China, in particular is an interesting divergence, since machine vision has been widely rolled out by the CCP via its social credit score, as well as being repurposed from below during the Pandemic response. SF has been historically very wary with attempts to modulate or influence behaviors such as behaviourism, to tuning or pegging controls or strong emotional responses towards a common good (Just think of swath of movies from Equilibrium 2002 to Brave New World 2020 or the new Voyagers 2021). ‘Brainwashed’, ‘the Manchurian Candidate’ etc are just a few of the inherited standard fear responses churned by both Cold War warriors, strategists, Pentagon brass and the run of the mill Hollywood movie output whenever they tried to depict or describe actual, imagined or suspected ideological traitors and US army deserters. ‘Brainwashing’ especially was made up into a sort of explain-all – to cover a whole range of ‘enemy'(past & present) responses, as the only possible logical explanation for the divergent behavior of former US troops (many of them black) who decided to opt-out of the racist US capitalist system after living as POW (during Korean War). When former army personnel decided to question, defect & live outside their bounds they must have been ‘brainwashed’, especially if they happened to be choosing Mao’s China for a while (a forgotten history detailed with tremendous wit in Julia Lowell’s fascinating book: Maoism: A Global History 2020) instead of racism back home or in the army. Change of mind and qualms about incoming orders also equals treason as we know from the case of Chelsea Elizabeth Manning or Edward Snowden.
In a rare and courageous move – The White Space (Machine/Ancestral Night duology) space opera universe of Elizabeth Bear avoids the usual ‘brainwashing’ suspicion of previous SF dystopian conventions by offering exactly what so much canonic SF eschews. It opens the possibility of a wide, non-coercive future galactic union where every human (altough the union is made by many non-sapient but sentient syster species) has the option to decide how much it alters, allows or wants to dial-down or fine-tune (what amounts to certain AI assisted ‘mindfulness’) a central nervous system evolved to automatize responses to emotional distress. Changing developmental patterns etc including universal non-coercive(!) access (called “bumping” in the novel) to what amounts to puberty blockers is not automatically a bad thing or a monstrous unnatural hybristic act(altough there’s libertarian privateers who think so in that universe like in ours)!
White Space opens up a way to modulate, discuss and deal in other ways with trauma, isolation, addiction, puberty, dysphoria, sex or gender assignment by birth etc bypassing automatic, hormonal or non-cognitive ‘habitual’ responses, being able to imaginatively limit violent behaviors at a minimum. Curbing willingly so much of what is anti-social behavior was apparently frowned upon even in that far future, but there’s room for so much more. It’s of course always important to pay attention to who decides what and when one misbehaves or when disobedience becomes accepted & when not. Of course there is a thin line, and there are those who want to skip and actively propagate opting out of the opting out. Body (non modification) extremists surely exist in that future that deem it sacrilegious to intervene or to dabble with ‘natural’ responses, while acting (on whole) quite egoistically and self-centered. In this galactic union – new forms of piratical freeports keep offshoring resources and escaping the central taxing authority, thus harboring non-mindfulness terrorism arising in response to a largely benefic mental & emotional tuning widely available. Even if coding bias into hardware based on white wetware bias is the main focus of Coded Bias, it ultimately supports a malleable wetware-hardware continuum that allows for modulation and even requires it.
Black-boxing of the operative logics of machine vision or acknowledging that machinic cognition or decisionality is essentially collaborative, not isolated, nor impervious to questioning, thus, cannot just settle for the human/nonhuman or creator/created, nonhuman/posthuman binaries. It feels very wrong, since it closes down our own sensitivity either to the same old repackaged as new, or to a newer wider & largely collaborative nonhuman ‘worldy sensiblity’ that is always risks being tipped towards whiteness and reactive toxicity if left unattended. Microsoft’s Tay 2016 chatbot that developed 24h a proclivity for hate speech is a test in case. It’s not just the simple powerful logic of trash in trash out, but of how easily this tipping point might be achieved today under trolling & targeted attacks. At the same time, one should never loose sight of other machinic bridges &conceptually as well as emotionally more progressive examples that developed as part of writing practices & modernist techniques such as automatic writing or Alan Turing’s automated Loveletter generator.
One cannot unbox anything in a straightforward way, since Shalini Kantayya’s diverse cast of protagonists and invited guests make clear that not even programmers or makers do not understand how the AI does what it does. One more thing cannot be remedied with just more data, simply more information. Even acknowledging that we can fully understand those internal processes, we can still feel trh results, see the hard facts and harsh reality whenever these AIs tend to ignore black and brown or female faces. AIs do need some deep unlearning in order to ‘re-educate'(not such a bad word) themselves and make sure they will not act out just the mathematical sums of the worst of the worst and select by default for the chosen few while deselecting everybody else.
Pushing the logic of this documentary, it is time to find out more about how decisions, ‘chance’, contingency may still be directed so as to redistribute luck on a more equal way in an increasingly unequal world economy. Economy is itself futurism served frozen & pre-cooked, and different debt ridden lives and widely different futures are being handed down, bent along pre-selected trajectories, trajectories that are being doctored (who cares if knowingly or unknowingly, intentionality is always ulterior anyway) actively make impossible the lives of a majority. A ‘pan-selectivity’ needs yo be developed that refuses yo be ‘gamed’ easily and influenced only by the influent few armed with predictive algorithms – at the tip of a capitalistic drive that actualizes every potential out there, no matter how horrific and brutal as long as it pays dividends.
Like probably any ideological formation – bias is not just invisible, it probably maybe impossible to completely eliminate, but this should not stop us trying to change it and actively imagine what’s to be done. Bias seems to work and act by being unspecified, invisibilized, left out of the loop. Again, like ideology, it is the missing mass that bends everything according to its set of preemptive expectations, almost like a constant enactment of a single, unilateral inner experience, making itself ubiquitous. Bias is not simply an apparently whimsical conceit, it is not just a pre-programmed part of the system, but something that needs to be enforced, hard-coded and programmed at every level of future decision making, at ever threshold of resistance.
Bias is made seemingly non-existent each time output and prediction is put at a premium. If if blaring, it feels like an itch you cannot scratch, because it starts to seem so intrinsic & para-systemic. Technology or AI is not neutral nor is inherently bad it gas been often said, and it is getting as bad or worse or as good as the whole context/environment allows it, or the drift promoting it keeps on pushing it, or as long as the coded ideals and values are what they are. Remember even if everything is being turned into ‘driver-less’-everything, it’s not less of driven- market economy.
We can not see it and measure it because its effects are measured on those who are made to matter less and less, on those ‘others’ that even the states, law or constitution does not seem to ‘notice’ or care for any longer. It is easier to wave bias aside, to bring undigested misconstructions on board and heap them on top of those being distributed the loosing lots, the bad seats(if any), and even if those stories just give you bad dreams, goosebumps, depression or severe need to disconnect from another’s catastrophic or already dystopian reality. So this necessitates different, collective and directed research approaches & coordinated effort to ‘black boxing’ so many current decisional processes. There’s also a different venue (not tackled in Coded Bias) – a sort of related QWERTY bias, of path dependencies whenever we have historically & incrementally built conventional (man-made) computational infrastructures. This ‘convention’ not only only stands in the way of more evolutionary – developmentally inclusive, unconventional approaches to computation & computing, but might leave out or blind us to other venues or other modes of problem solving existing or evolved (as those investigated by Andrew Adamatsky studying maze-solving slime molds). While most computation & research nowadays follows old & certainly well-tested arhitectures, it only builds upon existing & specific constraints – all too human ones we might add, moreover a very restrictive & biased account of what counts as ‘human’ (amply documented throughout Coded Bias), one that both engineering and coding seems to take as granted. ‘Worth’ – in a constantly devalorizing environment becomes constantly threatened, at the same time we should welcome the erosion of old, gendered biased and individualistic notions of singular genius(unmoved mover?) and farcical ‘great men’ through our plural AI – human interactions.
Coded Bias gets the highest marks in advocating for an A.I.X -research, attempting to build an explainable artificial intelligence, a research that should be aware of ‘artificial unintelligence'(Meredith Broussard), as well as to demands that humans hone their response-ability (Haraway), both allowing for aesthetic, epistemologic and ethical responsiveness whenever technological 21st upgrades and optimizations start pouring in.
You do not need to be a tech expert to advocate for algorithmic justice. These basic terms are a good foundation to inform your advocacy. For a more detailed breakdown of how facial recognition works, see the guide titled Facial Recognition Technologies: A Primer from the AJL. For more on surveillance, see the Community Control Over Police Surveillance: Technology 101 guide from the ACLU.
Algorithmic justice. Exposing the bias and harms from technical systems in order to safeguard the most marginalized and develop equitable, accountable, and just artificial intelligence.
Benchmark. Data set used to measure accuracy of an algorithm before it is released.
Bias. Implicit or explicit prejudices in favor of or against a person or groups of people.
Artificial intelligence (AI). The quest to give computers the ability to perform tasks that have, in the past, required human intelligence like decision making, visual perception, speech recognition, language translation, and more.
Big data. The mass collection of information about individuals who use personal technology, such as smartphones.
Biometric technology. Uses automated processes to recognize an individual through unique physical characteristics or behaviors
Black box. A system that can be viewed only through its inputs and outputs, not its internal process.
CCTV. Closed-circuit television cameras are used by institutions to record activity on and around their premises for security purposes.
Civil rights. A broad set of protections designed to prevent unfair treatment or discrimination in areas such as education, employment, housing, and more.
Code. The technical language used to write algorithms and other computer programs.
Data rights. Referring to the human right to privacy, confidentiality, and ethical use of personal information collected by governments or corporations through technology
Data set. The collection of data used to train an algorithm to make predictions.
Due process. The right not to be deprived of life, liberty, or property without proper legal proceedings, protected by the Fifth and Fourteenth Amendments to the US Constitution.
General Data Protection Regulation (GDPR). A data rights law in the European Union that requires technology users consent to how their data is collected and prohibits the sale of personal data.
Facial recognition. Technologies – a catchall phrase to describe a set of technologies that process imaging data to perform a range of tasks on human faces, including detecting a face, identifying a unique individual, and assessing demographic attributes like age and gender.
Machine learning. An approach to AI that provides systems the ability to learn patterns from data without being explicitly programmed.
Racism. The systematic discrimination of people of color based on their social classification of race, which disproportionately disadvantages Black and Indigenous people of color.
Recidivism risk assessment – Automated decision making system used in sentencing and probation to predict an individualâs risk of future criminal behavior based on a series of data inputs, such as zip code and past offenses.
Sexism. The systematic discrimination of women and girls based on their social categorization of sex, which intersects with racism for women and girls of color.
Social credit score. An AI system designed by the Communist Party of China that tracks and analyzes an individualâs data to assess their trustworthiness.
Surveillance. The invasive act of monitoring a population to influence its behavior, done by a government for law and order purposes or by corporations for commercial interests.
Value-added assessments. Algorithms used most commonly to evaluate teachers by measuring student performance data.
Voice recognition. An application of AI technology that interprets and carries out spoken commands and/or aims to identify an individual based on their speech patterns.
We live in the age of the algorithm. Increasingly, the decisions that affect our lives–where we go to school, whether we can get a job or a loan, how much we pay for health insurance–are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules. But as mathematician and data scientist Cathy O’Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they’re wrong. Most troubling, they reinforce discrimination–propping up the lucky, punishing the downtrodden, and undermining our democracy in the process.
The challenges to humanity posed by the digital future, the first detailed examination of the unprecedented form of power called “surveillance capitalism,” and the quest by powerful corporations to predict and control our behavior.
In this masterwork of original thinking and research, Shoshana Zuboff provides startling insights into the phenomenon that she has named surveillance capitalism. The stakes could not be higher: a global architecture of behavior modification threatens human nature in the twenty-first century just as industrial capitalism disfigured the natural world in the twentieth.
Zuboff vividly brings to life the consequences as surveillance capitalism advances from Silicon Valley into every economic sector. Vast wealth and power are accumulated in ominous new “behavioral futures markets,” where predictions about our behavior are bought and sold, and the production of goods and services is subordinated to a new “means of behavioral modification.”
The threat has shifted from a totalitarian Big Brother state to a ubiquitous digital architecture: a “Big Other” operating in the interests of surveillance capital. Here is the crucible of an unprecedented form of power marked by extreme concentrations of knowledge and free from democratic oversight. Zuboff’s comprehensive and moving analysis lays bare the threats to twenty-first century society: a controlled “hive” of total connection that seduces with promises of total certainty for maximum profit–at the expense of democracy, freedom, and our human future.
With little resistance from law or society, surveillance capitalism is on the verge of dominating the social order and shaping the digital future–if we let it.
A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right.
In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitallyâhiring, driving, paying bills, even choosing romantic partnersâthat we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technologyâand issues a warning that we should never assume that computers always get things right.
Making a case against technochauvinismâthe belief that technology is always the solutionâBroussard argues that it’s just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding âthe cyborg future is not coming any time soonâ; uses artificial intelligence to investigate why students can’t pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.
TimeSpace Warps 