AI, data, metrics. masurements

Antikythera 50BC  about


see also > digital commercial currencies- big tech, crypto, webAI – algorithms, intelligence – innovation technology, big tech

AI – intelligence – IQ <to be merged

AI, data, metrics

  • AI
  • data/ metrics/ stats – social science
  • AI/surveillance/targets/performance
  • ALT socio eco metrics/ ESG
  • data/accounting

blog.lse.ac.uk 11-2022 Book Review: The Surprisingly Imprecise History of Measurement | Impact of Social Sciences – In this cross-post, Christie Aschwanden reviews James Vincent’s Beyond Measure, The Hidden History of Measurement, finding a book which highlights the social complexity and limits to measurement, whilst at the same time opening up new ways of knowing the world.


> AI / faulty system / surveillance

theguardiann.com 15-2-2022 The innocent have paid a high price for the Post Office scandal. The guilty have not – It was the word of hundreds of Post Office workers against a faulty computer system. Guess who was believed? Marina Hyde

…”…let’s do the brief summary: between 2000 and 2014, 736 subpostmasters and postmistresses were prosecuted of theft, fraud and false accounting in the branches of the Post Office they ran. Their lives – and the lives of thousands of others – were torn apart. They were financially ruined, put out of work, locally shunned, driven into poor health and addiction, saw their marriages destroyed. Some – from a 19-year-old woman to mothers of young children to all manner of others – were imprisoned for many months. At least 33 victims of the scandal are now dead; at least four reportedly took their own lives. But … they had done nothing wrong. They had done nothing wrong. The blame in fact lay with Horizon, a faulty computer system designed by Fujitsu and imposed on their branches by Post Office management. It is currently being described as the most widespread miscarriage of justice in British history. …

Today, technology is deferred to even in the face of human tragedy far more than it was 20 years ago. Spool onward in the timeline and you will find more and more examples of ways in which technology was deemed to know best. In 2015, it emerged that in one three-year period, 2,380 sick and disabled people had died shortly after being declared “fit for work” by a computerised test, and having their sickness benefits withdrawn. Today, bereaved parents are told that nothing can be done about the algorithms that pushed their teenage children remorselessly in the direction of content they believe ultimately contributed to them taking their own lives, even as a Facebook whistleblower recently said that firm was “unwilling to accept even little slivers of profit being sacrificed for safety”. At the time the Post Office scandal began unfolding, Facebook wasn’t even a glint in Mark Zuckerberg’s eye; now, many technology firms are more powerful than nation states. At the time, Little Britain’s Carol Beer worked as a bank teller or holiday rep; now, computer-says-no culture runs the world.”


academia.pdf  11/2021  A Note on AI and the Ideology of Creativity  by Michael Betancourt

Figure 1

academia.edu/   2021  Should I Be Scared of Artificial Intelligence? Mohammad Mushfequr Rahman


guardian 2022 When it is successfully deployed against a target, Pegasus can be used to hack into any mobile phone and intercept phone conversations, read text messages, or view a user’s photographs. It can also be used as a remote listening device, because a government user of the spyware can use it to remotely turn a mobile phone recorder on and off.


academia.edu   2021  Artificial General Intelligence and Creative Economy  Konstantinos I Kotis


ft.com 9/11/2021 We need to talk about techie tunnel vision  Gillian Tett

AI, data, metrics, big tech,

wired.co.uk   6/2021   It’s time to ditch Chrome – As well as collecting your data, Chrome also gives Google a huge amount of control over how the web works  by Kate  O’Flaherty

Despite a poor reputation for privacy, Google’s Chrome browser continues to dominate. The web browser has around 65 per cent market share and two billion people are regularly using it. Its closest competitor, Apple’s Safari, lags far behind with under 20 per cent market share. That’s a lot of power, even before you consider Chrome’s data collection practices.


economics data

medium.com   2020    Is data nonrivalrous?    Will Rinehart

Charles I. Jones and Christopher Tonetti  ” … are upfront in their goals in that the “paper develops a theoretical framework to study the economics of data.” Continuing, they write, “the starting point for our analysis is the observation that data is nonrival. That is, at a technological level, data is infinitely usable.”
The concept of rivalrous goods was first laid out by Vincent Ostrom and Elinor Ostrom in a book chapter titled, “Public Goods and Public Choices.” Previous to this work, economists like Samuelson and Musgrave emphasized exclusion. …   However, the model falls apart if there is no scale effect associated with this transferred data, such that “each firm learns only from its own consumers.” …  For Jones and Tonetti, data is understood to be a radically non-specific asset where massive data sets easily yield more output. This model primitive is important. If firms are unlikely to learn productive insights from the data of others, then “there is no scale effect associated with data” and policy regimes to expand data access through property rights would be nullified. In practice, data doesn’t transfer easily. …    This paper from Jones and Tonetti exemplifies the cutting edge of economic research in information. Like all research, however, it needs contextualization. The way data rivalry is defined and is then made into a model fails to capture the complexity of the real world. As such, attentive readers should be skeptical of the authors’ policy prescriptions. Data transferability is complex and public policy proposals need to take into account that complexity by avoiding simple models of a complex world.


data/metrics/stats social science


academia.edu/pdf  2021  Computational Thinking and Social Science Education  Seema Shukla Ojha

“Computational thinking is one of the biggest buzzwords in education nowadays. It has even been called the 5th C of 21st-century skills. The reason for its emerging popularity is that it is engaging. If given an opportunity, we all would like to play with a data set rather than listening to someone telling us about the data set. Computational thinking as a term was popularized in 2006 by Jeanette Wing and became linked with twenty-first-century skills. Wing argued that computational thinking is “everywhere” and “for everyone.” Computational thinking is said to be an approach in which one breaks down problems into distinct parts, looks for similarities, identifes the relevant information and opportunities for simplifcation, and creates a plan fora solution. This broad problem-solving technique includes the following four elements:

  •  Decomposition -Breaking down problems into smaller sections.•
  •  Pattern recognition -Examining the problem for patterns, or similarities to previously solved problems
  •  Abstraction -Generalization of a problem — focus on the big picture and what’s im-portant•
  •  Algorithms -Solving problems through step by step instructions.

While applying above mentioned four elements of computational thinking to social sci-ence education, these were found to be highly technical, not relevant to social science, whichhas specic disciplinary needs across its multiple curricular contexts: history, geography,economics, and more (Hammond, Oltman & Manfra 2020). This led some scholars to selectand adapt a list of computational thinking skills mentioned below for social science purposes(Hammond, Oltman & Manfra 2020)

The above-mentioned formulation of “Data, Patterns, Rules and Questions” (DPR-Q) wascreated as a method for integrating computational thinking into social studies education.In simple words, we can understand that computational thinking is a set of problem-solving strategies that is intended, but not required, to take advantage of computers. Compu-tational thinking is not that dierent from critical thinking. Computational thinking is simplywaytoprocessinformationusinghigher-orderorcriticalthinking,saysJulieOltman. Whetherit is taught in coding class or social studies, the framework is the same: look at the providedinformation, narrow it down to the most valuable data, and patterns and identify themes…”…


lithub.com  10/3/2021  Is Data the Western World’s New Religion?  Tim Harford in Conversation with Andrew Keen


ft.com 12.2021  The Great Post Office Scandal — a shameful story of justice denied  by Rory Ceilan-Jones

data error, Nick Wallis - Post Office scandal FT 12 2021

goodreads.com  1999   How to Lie with Statistics  by Darrell Huff  –  This book introduces the reader to the niceties of samples (random or stratified random), averages (mean, median or modal), errors (probable, standard or unintentional), graphs, indexes and other tools of democratic persuasion.


AI / surveillance/ targets/ performance


https://www.independent.co.uk/life-style/gadgets-and-tech/ai-artificial-intelligence-maths-deepmind-b1967817.html


ft.com 10/2021 Surveillance  Darren Byler, C Shepherd


theguardian.com  2019  Shoshana Zuboff: ‘Surveillance capitalism is an assault on human autonomy’
What began as advertising is now a threat to freedom and democracy argues the author and scholar. Time to wake up – and fight for a different digital future

shoshanazuboff.com Surveillance Capitalism. Media. Featured Videos · Podcasts & Radio · Reviews & Features · Praise · Awards and Honors.

academic.oup.com 2019 In her new book on Surveillance Capitalism, Harvard Business School emeritus professor Shoshana Zuboff introduces us to a new wave of … by D Tober 

antipodeonline.org/pdf 2019 In this essay I distil the core tenants of Zuboff’s theory of surveillance capitalism, before offering some critical reflections on both the significance and… – by Whitehead.

amazon.co.uk In her groundbreaking new work The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power Shoshana Zuboff exposes the …

blogs.lse.ac.uk 2019  In The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power, Shoshana Zuboff offers a comprehensive …

goodreads.com 2019 In The Age of Surveillance CapitalismShoshanna Zuboff argues relentlessly that the rise of Google, Facebook, etc. has done something terribly wrong to society …

harvard.edu 2019 In her new book, “The Age of Surveillance Capitalism,” HBS Professor emerita Shoshana Zuboff outlines her belief that surveillance …

journals.sagepub.com 2021 — Zuboff believes that the problem with surveillance capitalism is surveillance, not capitalism. This is because surveillance makes possible three … by P Grosvenor ·

publicaffairsbooks.com The challenges to humanity posed by the digital future, the first detailed examination of the unprecedented form of power called “surveillance capitalism,” …

the-orb.org 2019 A Zucking Nightmare – by Alexandre Leskanich

The Age of Surveillance Capitalism:
The Fight for a Human Future at the New Frontier of Power
Shoshana Zuboff, Profile Books, 2019

Democracy Hacked:
Political Turmoil and Information Warfare in the Digital Age
Martin Moore, Oneworld Books, 2018

Think of Big Brother today and you might think of Mark Zuckerberg. Of course, you’d rather not, but he intrudes nonetheless, his features puckered in a benevolent smile, his metallic autotune emitting bursts of banality as he garners advertising revenue off the back of people’s social insecurities. A canny businessman, ‘Zuck’ hopes that the language of connection, of collective endeavour, of combined effort, speaks to his possession of a heightened social conscience. That’s even more necessary these days, as Facebook becomes an effective machine for the dissemination of political propaganda. The network’s central user-illusion – that it exists entirely to help you – is lately maintained through assurances penned by Zuckerberg himself. ‘Are we building the world we all want?’ he pondered two years ago in a public relations missive entitled ‘Building Global Community’. Even after all he’s done for us, he still wants to help us ‘come together’ to harness ‘people’s intrinsic goodness aggregated across our community.’ He’s not in it for himself, folks, he’s in it for the world. That people are not always particularly good, that aggregating goodness means aggregating an awful lot of bad as well, and that we evidently don’t all want the same world, escapes serious consideration.

Earlier this year, he was at it again with another oxymoron, his ‘privacy-focused vision for social networking’. Cue the same turgid prose, the same barely intelligible content. Zuckerberg’s prosaic, heavily-calculated statements bear out Orwell’s reminder that language is ‘an instrument which we shape for our own purposes.’ Regrettably, in pursuit of his own ends the writer becomes ‘almost indifferent as to whether his words mean anything or not.’ Sure enough, despite signs of contrition, Zuckerberg’s forays into crisis-management have reiterated the surface tenets of Zuckism: ‘inclusion’, ‘spreading prosperity and freedom’, ‘promoting peace and understanding’. The more vacuous the rhetoric, the more comprehensive the image of fatherly beneficence. Cloaked in the guise of a guru, Zuckerberg guides us towards the light of deeper connection. The opportunistic dorm-room tinkering with the bros back in 2004 led to the realisation that the human need for connection, for social validation, for recognition, could be harnessed for profit with the right advertising model. But it had to be couched in the language of lofty aims, clothed in the garb of a righteous ideal.

Suddenly, the economic will to power driving the desire to corner the market of human attention and cynically re-purpose it for ready cash is presented in the noble verbiage of ‘coming together as a global community.’ That’s where all the guff about Facebook ‘bringing us closer together’ comes from: ‘connection’ becomes the rationale transcending gritty questions of morality or politics – foregoing any consideration of its efficacy as a way to achieve the change the world actually requires. That Facebook helps dismantle any collective understanding of the world we live in, and conspicuously fails to promote a shared conception of one ‘we all want’, is assiduously sidestepped.

Zuckerberg wants two incompatible things: a world in which he can continue to be Mark Zuckerberg, billionaire founder of the money- making behemoth known as Facebook, while simultaneously helping people ‘see a more complete picture, not just alternative perspectives’ of the world mediated through it. These are mutually exclusive aims. For one thing, because the world does change no ‘complete picture’ of it is possible. For another, thanks to Facebook’s professed desire to change the world through connecting people, the opinions it enables them to indiscriminately trumpet into the ether diminishes understanding of the world common to everyone.

Overwhelmed by information of indeterminate value, ‘understanding’ dwindles into confusion as the virtual and the actual chaotically converge. Yet although acknowledging that the ‘diversity of ideas’ and their proliferation afforded through social media fragments ‘our shared sense of reality’, Zuckerberg insists that ‘by increasing the diversity of our ideas and strengthening our common understanding, our community [Facebook] can have the greatest positive impact on the world.’ That a diversity of ideas, desirable in principle, is inimical to common understanding in practice, only temporarily registers.

The most comprehensive attempt yet made to conceptualise the new, Zuckified reality emerges in Shoshana Zuboff’s The Age of Surveillance Capitalism, which grew out of a 2015 Journal of Information Technology article called ‘Big other: surveillance capitalism and the prospects of an information civilization.’ A professor emerita at Harvard Business School whose work has previously examined the impact of information technology in the workplace, Zuboff expands the key arguments of that article in exhaustive detail to illuminate an unprecedented system of surveillance, one which rests upon the collection of data about your online activities in order to predict and modify your future behaviour. Holding us spell-bound, the attention merchants of the digital age compile vast databanks of information about us that can be sold or traded in what she calls ‘behavioural futures markets’. Hence human experience (now that much of it plays out online) is being expropriated to serve a new form of capitalism that departs from the organic reciprocities of earlier, industrial iterations. In its departure from relations based upon the economic exchange of goods and services, surveillance capitalism’s ‘radical indifference’ to the individuals it mines for information stems from the fact that it doesn’t actually ‘rely on people as consumers’, but rather as ‘users’ who become re-mouldable ‘sources of raw material.’ Even the digital products people individually purchase become ‘hosts for surveillance capitalism’s parasitic operations.’

Zuboff’s timely book highlights that the shift to digital surveillance has become one of the defining features of contemporary culture. In 2006 the BBC reported on Britain’s thriving ‘surveillance society’, with its millions of CCTV cameras and pervasive ‘dataveillance’ tracking our financial transactions. Certainly, the longstanding anxiety about state surveillance conducted in secret still endures as widespread monitoring of telecommunications by security agencies continues. Now more than ever, the privacy and freedom citizens enjoy emerge as temporary privileges rather than inalienable rights, easily revoked with the right equipment. But our iconography of surveillance is becoming outdated – encapsulated in the hidden microphones, concealed cameras, roving police patrols and George Smiley-style tradecraft of the analogue age. Now, with the digital surveillance of people’s browsing habits, with every click recorded for posterity, there’s evidently extraordinary scope for the manipulation of behaviour. Transforming people into sources of data has sparked a race to design ever more intrusive applications so that their users can be fully ‘automated’. Marketed as convenient, time-saving devices, ‘smart’ gadgets (including Alexa, Fitbit and Amazon Echo) accrue more and more data about us, enabling corporations to better shape the behavioural path of our future selves.

Traditionally, surveillance has largely been about keeping people in check. The idea of being constantly watched emerged to spectacular effect in theism, with God able to observe the slightest variations in human thinking, and hence capable of convicting people of thought-crime: ‘neither is there any creature that is not manifest in his sight’ (Hebrews 4:13); ‘his eyes behold, his eyelids try, the children of men’ (Psalms 11:4). This proved useful in moderating moral behaviour, making some people better able to maintain power and control over others. But a world lacking a permanent transcendental authority has still made surveillance a ubiquitous, inescapable feature of daily life, an ordinary consequence of doing practically anything.

Similarly, proposing that round-the-clock supervision could constrain action, philosopher Jeremy Bentham’s panopticon was a cunning piece of prison-engineering designed to achieve the maximal visibility of its incarcerated inmates in the hope that their behaviour would, under conditions of total scrutiny, conform to the social standards of the age. Today tech companies don’t much care what you do or think, so long as they can manipulate it to profitable effect. Once hooked up to the internet, the maturation of society into a click-driven soup of ‘unsocial sociability’ – Kant’s term for the antagonism our simultaneous need and distaste for social concord incurs – merely portends the further exploitation of its members as lucrative revenue streams. Whether or not they are morally improved as a result is entirely moot. As Zuboff remarks, the aim is ‘not to impose behavioural norms, such as conformity and obedience, but rather to produce behaviour that reliably, definitively, and certainly leads to desired commercial results.’ Hence the ‘ubiquitous computing’ on which surveillance capitalism relies aims for, and necessitates:

the everywhere, always-on instrumentation, datafication, connection, communication, and computation of all things, animate and inanimate, and all processes – natural, human, physiological, chemical, machine, administrative, vehicular, financial. Real-world activity is continuously rendered from phones, cars, streets, homes, shops, bodies, trees, buildings, airports, and cities back to the digital realm, where it finds new life as data ready for transformation into predictions.

As Zuboff emphasises, it’s all about ‘predicting us, without actually caring what we do or what is done to us.’ What follows is the banality of equivalence – from the point of view of surveillance capitalism, every click is as good as any other. The crucial discovery that the ‘behavioural surplus’ produced as a by-product of user interactions could be commercialised soon supplanted Google’s early business model, in which only the behavioural data needed for service improvements was ‘reinvested in the user experience’. Google worked out, to pioneering success, that they could deduce users’ interests from online behaviour, and then use the data they collected to tailor online experience by targeting users’ with ads to suit those interests.

Astoundingly, its access to that data made it possible ‘to know what a particular individual in a particular time and place was thinking, feeling, and doing.’ Hoping to capitalise, Facebook accordingly took the extraction and exploitation of data to new levels, enticing people to share personal information with attractive features like the ability to contact friends and ‘like’ content, and in doing so to actively participate in their own instrumentalisation.

This ‘digital dispossession’ occurs with each morsel of human behaviour that becomes datafied and commodified: we’re constructing searchable lives in which everything we’ve ever done becomes a usable resource for someone else. Although it required the pre-existence of an ‘internet of things’, Zuboff reiterates that surveillance capitalism is neither a ‘necessary expression of information capitalism’, nor ‘an inherent result of digital technology’, but a deliberate commercial construct. It is ‘a logic that imbues technology and commands it into action.’ Although often framed as inevitable outcroppings of information technology, Google and Facebook merely reflect the economic imperatives of their developers, not irreversible steps in a determinate process of technological advancement. Technology doesn’t have agency, but the way it is designed increasingly dictates what users will do or think: people can implement it to alter desires for their own ends, to try and pre-empt human behaviour so completely that nothing we do is ever unanticipated. However, the ability to use technology in this way depends upon significant asymmetries in knowledge and power to begin with.

In Discipline and Punish: Birth of the Prison, Michel Foucault describes the shift from sovereign power to the disciplinary power of social institutions, which wielded knowledge to reach new heights of behavioural refinement in the twentieth century. Yet Gilles Deleuze, in his prescient ‘Postscript on the societies of control’, articulates a transition away from ‘disciplinary societies’ with their regimented ‘environments of enclosure’ (the family, the school, the hospital) to outright ‘societies of control’. Here the corporation can universally modulate human behaviour to suit commercial objectives. Now, ‘one is never finished with anything’, since ‘the man of control is undulatory, in orbit, in a continuous network.’ This form of capitalism, rather than existing for production, primarily wants to ‘sell services’ and ‘buy products.’ Control is ‘short-term and of rapid rates of turnover, yet also continuous and without limit.’

Surveillance capitalism, whose primary product is data, is the society of control nearly perfected: the continuous tracking of, and complete access to, the behaviour of billions, whose experiences can be extracted to feed the logic of what Zuboff calls ‘instrumentarian power’. The latest boon to the aspiring autocrat of the future is facial recognition technology, a gizmo capable of identifying you whether you like it or not. Capitulation to all this doesn’t even require coercion: it’s designed in such a way that people are glad of their chains, willing to forego control of their data in return for the addictive, ‘free’ services and information online platforms provide – particularly the ability to curate an online existence accessible everywhere, at every moment.

Yet the technologies that reconstitute our social behaviour are not neutral, benign aids to self- development. Not only do they hamper the actualisation of a life not hijacked by corporate interests, but, as Martin Moore, a senior research fellow in the Policy Institute at King’s College London points out in his pithy book, Democracy Hacked, they can be used to the detriment of the very democratic ideals the surveillance capitalists claim to promote, and that their platforms facilitate. As democratic politics lurches from one unforeseen mess to another, we observe that our ‘open’ and ‘connected’ world is concurrently a world in which more and more happens. Consequently, the volume of online information of dubious provenance is exhausting our already over-strained attention-spans, which are becoming ever narrower: ‘Twitter storms’ now trend, apparently, for under 12 hours, down from an average of 17.5 hours back in 2013. More information means less ability to process it (let alone investigate its accuracy), leading to more frenzied browsing to find new attention-grabbing content.

Moore pinpoints what he calls an ‘unsustainable discrepancy between our capacity to represent ourselves and the ways in which we are represented in democratic politics.’ Depending on how governments respond to the political disruption the digital platforms enable, he anticipates the splintering of democracy down three potential pathways. One possibility is the emergence of ‘platform democracy’, in which unregulated digital platforms will accrue even more power, becoming ‘gateways not just to commercial services, but to public services like healthcare, education and transport.’ Instead of a jackboot stamping on a human face forever, imagine an enormous ‘like’ button constantly cajoling us to click it. In the second scenario, ‘surveillance democracy’, the state will accord itself greater powers of influence over the lives of citizens, directing their behaviour in ways it desires (one might point to the British government’s forthcoming requirement that individuals verify their age before being granted access to pornography). The third option echoes Zuboff’s plea to defend ‘the sanctity of the individual’: Moore suggests that if we’re to create a future ‘digital democracy’ less susceptible to perversion by malign interests, we’re going to need ‘a digital sphere that is less centralized, digital civic spaces and public services that do not rely on personal data tracking and ad tech, and a digital democracy that starts … with citizens at its centre.’ This is a nice aspiration, but as Moore’s own book shows, the obstacles to its realisation have already emerged. In this instance, knowledge has arrived too late – Google and Facebook have grown into transnational corporations defying the capacity of our antiquated legal and ethical apparatus to administer them.

But we must try. One place we could start, as Elizabeth Warren has set out as part of her pitch for the US presidency, is to curb the power of the big tech companies by breaking them up, with the expectation that, once faced with more competition, they’ll be incentivised to protect our privacy. It’s a typically technocratic solution that even if implemented will leave bigger questions about the legitimacy of the new online landscape unanswered. Worryingly, the loss of faith in representative democracy, abetted by the rise of social media, has exposed just how epistemically ill-equipped we are to understand what we truly want, let alone who we can trust to achieve it. Always fragile, now the complexity of digital life actively conspires against democracy as a viable ideal, since decision-making increasingly depends upon a level of technical knowledge and expertise we have neither the time nor opportunity to obtain.

Fundamentally, democracy is vulnerable because we are overwhelmingly reliant on other people for knowledge. We know what we do largely because we have sought out informants in whom we place our trust. But with our attention increasingly temporary, we’re easily fooled: if we like how they sound and how they make us feel, they’ve got us, regardless of their reliability. So in facilitating the dispersal of fake news and propaganda, in giving a voice to every dissembling charlatan, huckster or authoritarian hoping to attain power, tech platforms degrade our capacity to discern which informants are credible. Lacking a shared standard of either truth or falsehood on which any consensus about what counts as knowledge relies, and hence unable to distinguish knowledge from its appearance, or important information from irrelevant rubbish, what’s left is the reversion of politics to group- think, with its simple soundbites and strawmen. This condition of amplified ignorance leaves us vulnerable to unscrupulous shysters, for whom the key to success is the subordination of truth to psychology and the politics of emotion.

With people presented as dehumanised drones, their sense of reality mediated through algorithms, the numbing sense of catastrophe Zuboff induces results in a vision of life digitally dominated. But there’s another side to it, to which she pays insufficient attention. What of the new possibilities for individual and collective agency social media affords, or the means of expression and solidarity it offers the dispossessed? These capacities are not merely illusory: political movements (from the Arab Spring, to Black Lives Matter, to Extinction Rebellion) have discovered in digital platforms the means to rally and organise support with remarkable speed and frequency. Moreover, why should people keep outsourcing knowledge to, and reposing authority in, a political class that appears to care very little about them? That has, over the last forty years, failed to realise the promises of future happiness and wellbeing they keep extending? That has allowed, even enabled, a tiny proportion of the global population to commandeer the wealth of nations? Indeed, why shouldn’t citizens, thanks to the unprecedented tools the digital age offers, bypass their political representatives altogether and reason in their own voices? Wouldn’t this even imply that the big tech companies have enabled what representative democracy has by design always stifled, namely the power of people to reason and decide for themselves?

If only it were that simple. Kant thought that only the free exercise of public reason could lead to enlightenment, but now here we are, with people everywhere exercising their right to free expression, with little in the way of enlightenment to show for it. It’s become clear that reasoning is not enough: we can reason all we like, but if we don’t know very much the gap between reasoning and reality will only widen. Without knowledge of verifiable quality, reason will betray us. Events in 2016 showed that there’s a startling mismatch between what people know and the gravity of what they’re called upon to decide – so far as the Brexit debacle goes, it remains more than a little disturbing that so many were opposed to something about which they knew so little (including the fantasising politicians who orchestrated the Leave campaign). The unwelcome reality is that an amplified ability to reason publicly turns out to be perfectly compatible with the growth of hatred, ignorance, disinformation and political instability. How to address this dilemma while cleaving to ideals of autonomy and free speech will be one of the central tasks of the future. Still, knowledge will only get you so far, and facts don’t tell you what to do with them. In the end, the constant difficulty is how to judge, given the limited knowledge we have, what we ought to do.

Zuboff is undeniably right:

It is not OK for every move, emotion, utterance, and desire to be catalogued, manipulated, and then used to surreptitiously herd us through the future tense for the sake of someone else’s profit.

Now that we know the system we’re being nudged to serve, what’s at stake, she insists, is nothing less than the ‘human expectation of sovereignty over one’s own life.’ Quite so, but in what does this sovereignty consist? Through what political system is it best attained? These questions continue to test our capacity to answer as the world shifts to a new stage on which the constant battle over the control of ideas will be fought.

ALEXANDRE LESKANICH is a copy-editor at Evental Aesthetics, and reads for a PhD in Comparative Literature and Culture at Royal Holloway, University of London, focusing on climatic crisis and historical consciousness.


theguardian.com   26/10/2021     ‘Conditioning an entire society’: the rise of biometric data technology – The use of our bodies to unlock access to services raises concerns about the trade-off between convenience and privacy  …”Experts are concerned that biometric data systems are not only flawed in some cases, but are increasingly entering our lives under the radar, with limited public knowledge or understanding…”…


theguardian.com/  2/0121 Home schooling: ‘I’m a maths lecturer – and I had to get my children to teach me’
Many parents struggle with home schooling in lockdown. But how are three experts in maths, English and science faring?    Kit Yates,


ALT socio eco metrics/ ESG etc

Read or downlod PDF here   2014  “Towards an operational measurement of socio-ecological performance” by Sigrid Stagl, Claudia Kettner, Angela Köppl

Abstract
Questioning GDP as dominant indicator for economic performance has become commonplace. For economists economic policy always aims for a broader array of goals (like income, employment, price stability, trade balance) alongside income, with income being the priority objective. The Stiglitz-SenFitoussi Commission argued for extending and adapting key variables of macroeconomic analysis. International organisations such as the EC, OECD, Eurostat and UN have proposed extended arrays of macroeconomic indicators (see ‘Beyond GDP’, ‘Compendium of wellbeing indicators’, ‘GDP and Beyond’, ‘Green Economy’, ‘Green Growth’, ‘Measuring Progress of Societies’). Despite these high profile efforts, few wellbeing and environmental variables are in use in macroeconomic models. The reasons for the low uptake of socio-ecological indicators in macroeconomic models range from path dependencies in modelling, technical limitations, indicator lists being long and unworkable, choices of indicators appearing ad hoc and poor data availability. In this paper we review key approaches and identify a limited list of candidate variables and – as much as possible – offer data sources.


academia.edu/ read or download   2007 ENVIRONMENTAL ACCOUNTING SUSTAINABLE DEVELOPMENT INDICATORS  –  Alessandra La Notte

  • Sustainability Indicators and Ecosystem and Land use Accounting,
  • Environmental Accounting and Reporting at Micro Level,
  • Accounting of Environmental Activities,
  • Material, Energy and Carbon Accounting,
  • Measurement of Decoupling, National Accounts’ Adjustment, Damage Valuation,
  • Population Census 2010 as a Tool for Environmental Policy

medium.com/    2016 Maslow’s Hierarchy of Needs vs. The Max Neef Model of Human Scale development by Neha Khandelwal

the-max-neef-model-of-human-scale-development

data / accounting


economist.com/    2020  The economic crisis will expose a decade’s worth of corporate fraud
Downturns are accounting crooks’ worst enemy

… “Non-GAAP adjustments have spread like wildfire through corporate accounts, making it harder to discern what numbers reflect a firm’s true financial position. The average number of non-gaap measures used in filings by companies in the s&p 500 index has increased from 2.5 to 7.5 in the past 20 years, according to pwc, a consultancy. In credit agreements analysed by Zion Research Group, the definition of ebitda ranges from 75 words to over 2,200. gaap is far from perfect, but some of the divergence from it has clearly been designed to pull wool over investors’ eyes. One study found that non-gaap profits were, on average, 15% higher than gaap profits.

Playing around with earnings and revenue-recognition metrics is this generation’s equivalent of dotcoms using bots and other tricks to boost “eyeballs” 20 years ago, says Jules Kroll of k2 Intelligence, the doyen of corporate sleuths. “When an area is hot to the point of overheated, there is a growing temptation to juice the numbers.” In an ominous sign, SoftBank, a Japanese technology conglomerate which bet big on WeWork and dozens of other startups, said this week that it expects an operating loss of ¥1.4trn ($12.5bn) in its last fiscal year.

Besides exposing old schemes, the pandemic is likely to give rise to new ones. When economic survival is threatened, the line separating what is acceptable and unacceptable when booking revenues or making market disclosures can be blurred. Mr Kroll reckons that “amid such massive dislocation, some will inevitably cheat.”

Bruce Dorris, head of the Association of Certified Fraud Examiners, the world’s largest anti-fraud outfit, says the effects of covid-19 look like “a perfect storm for fraud”. It may engender everything from iffy accounting to stimulus-linked scams as thousands of firms—including bogus applicants—hustle for help. One fraud investigator points to private-equity-owned firms as potential targets. “There are lots of them, they are highly leveraged and they may not qualify for bail-outs because they have deep-pocketed sponsors,” he says. That increases the temptation to resort to unseemly practices. The ebbing tide is likely to reveal plenty of corporate nudity. That will not stop some businesses from taking up naturism. “