I have long wondered why "big data" and AI are bringing back the worst kind of science from the late 19th and early 20th century, namely eugenics (assuming "intelligence" is bred, rather than acquired), physiognomy (linking measurements of the body to mental/social…
…characteristics) and behaviorism (postulating that external observation, rather than introspection is key to understanding human beings). Slowly, I think I start to understand. What connects these approaches is that they all side-step questions of consciousness.
For none of these approaches, what people think, how they view the world and themselves, are important.
And if we assume that computers have no consciousness, and cannot model it, it's pretty clear that computer scientists will gravitate (or reinvent) approaches to understanding human beings that do not involve the assumption that human consciousness is a relevant factor.
While I would not argue that these approaches never have any value, to generalize the irrelevance of human consciousness is certainly going to generate ugly realities (technocratic authoritarianism) and profound human suffering.

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More from @stalfel

7 Mar
1/ This paper by @salome_viljoen_ is one of the best, and most substantial, pieces I know of on how to think of data politically.
papers.ssrn.com/sol3/papers.cf…
2/ By now, many people are aware that the current model of nearly unchecked data extraction by large companies is terrible, for many reasons, not the least in terms of concentration of power and wealth. But what do about it?
3/ The critiques fall in two categories, “proprietarian” and “dignitarian”. The first group argues that we are under techno-feudalism where people are dependent and not paid for what is essentially theirs, either their own data or the work that does into producing data.
Read 11 tweets
23 Feb
Australia's proposed "media code" bill is a terrible solution to a very real problem and offers no template for Europe. In a nutshell. It proposes that media platforms, such as Google and FB, pay news orgs whose content is acessed through their platform. 1/
Sounds good? There are real problems. First, there is a very narrow definition of what media orgs are. Mainly concentrated corporate media (and the Guardian). Likely main beneficiary. Sky/Fox. Likely losers, small, local, and innovative media companies. 2/
Second, it makes the news media directly dependent on social media, creating an incentive to "optimize" their content for this toxic environment. In effect, it fuses the two environments, with social media dominating. 3/
Read 7 tweets
25 Nov 20
1/ So, I read @adriandaub “What Tech Calls Thinking”, a book I was predisposed to like, not just because I’m interesting in the topic (a cultural critique of tech), but also it caters directly to people like me who believe in the value of higher eduction and critical thinking Image
@adriandaub 2/ And how does tech, that is Silicon Valley, think? Basically, like bumbling undergrads who grab trivialized versions of serious concepts, which they misinterpret to provide their privileged and parochial experiences with faux drama (dropping out! disruption!) and universalism.
@adriandaub 3/ Fair enough, but is that really all? Unless you read the book closely, you might miss that most tech entrepreneurs were engineering rather than humanities students. Has perhaps the culture of engineering (or economics or law) also shaped their thinking?
Read 9 tweets
16 Nov 20
1/ So, I read “Blockchain Chicken Farm" by @xrw . It’s one of the best books I read this year, not just because its starting point (the countryside) is counter-intuitive for a “metronormative” person like me, but also because it’s much more than simply a book about tech. Image
@xrw 2/ It’s a reflection on the transformation of social and natural life under digital capitalism, full of off-hand remarks such as: The “right to privacy is not an individualistic one of secrets and stories, but a social one that requires us to lead with trust in our daily lives.”
@xrw 3/ @xrw is sharply critical of how the drive for optimization and scale underlying the transformation of the Chinese country-side is driving a ‘race to the bottom.’ Yet, the past of back-breaking poverty offers no reason for nostalgia, they (the author is non-binary) are also ...
Read 8 tweets
11 Nov 20
So, ich habe das neue Buch von @Viktor_MS gelesen. In a nutshell: Nicht Rechenleistung, nicht Algorithmen, nicht Data Scientists, nicht Risikokapital sind knapp, sondern der Zugang zu Daten. Die grossen Firmen (in USA und China) haben alle Modelle entwickelt, (1/5) Image
@Viktor_MS durch die sie immer mehr Daten sammeln, so dass ihr Konkurrenzvorteil immer grösser wird und sie de-facto Monopolstatus erreichen. Europa kommt dabei immer mehr ins Hintertreffen, Innovation wird abgewürgt, eine neue Form des Kolonialmus entsteht. (2/5)
@Viktor_MS Datenschutz ist ein untaugliches Mittel dagegen. Was würde helfen: Europa muss Konzerne zwingen, ihre Daten offen zu legen, so dass alle darauf zurück greifen können. Monopole werden aufgebrochen, die Hürden für Innovation radikal gesenkt. (3/5)
Read 6 tweets
2 May 20
While we continue to talk about #Tracing apps, we are missing out in what happens on the level of infrastructure.

I see three things:

1) Amazon and other "just-in.time" services are becoming essential infrastructure. Thus consolidating their (near monopoly) power.
2) Social media companies are consolidating their central role shaping public discourse. How? Content moderation is expanded, and, as the lock-down keeps workers at home, and the rest is focused on Covid-19 stuff, more & more is being automated, further reducing accountability.
3) Big data companies (e.g. Palantir) are moving into public sector infrastructures, providing data-analytics services. Not only do they gain access to vast amounts of data, but their logic of differential treatment (rather than universal service) will become even more dominant.
Read 4 tweets

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