“Reconstructing the economy by rediscovering the value of knowledge” an interview with Bernard Stiegler [translation]

Bernard Stiegler being interviewed

In this short interview published inLibérationin March 2017, Bernard Stiegler reprises his argument for a contributory income, as is being trialled in the Plaine-Commune experiment. This is more or less the same argument and ideas presented in previous interviews I’ve translated, such as the Humanité interview, in which Stiegler attempts to provide the answer (albeit rather sweeping) to an incredibly gloomy prognosis of unemployment through full automation and peniary for the majority and with it the ever increasing loss of knowledge. Stiegler’ solution is the economic recognition of the value of work that currently is not captured economically. The device to achieve this is the contributory income, which unlike the Universal Basic Income seems to have a vague set of conditions attached.

The main idea here is Stiegler’s interesting distinction between what you get paid for and what you *do* – your employment [emploi] and your work [travail] – which gets to the heart of a whole host of debates (some that are quite long-running) around what we do that is or is not ‘work’ and how/whether or not it gets economically valued. It also builds on longstanding discussion about knowledge and care as a therapeutic relation [with each other, society, technology and so on] by Stiegler [see, for example, the Disbelief and Discredit series]. I think this may be useful for some of the critical attention to the gig economy and the ways in which people are responding to the current bout of automation anxiety/ ‘rise of the robots’ hand-wringing.

What is interesting to me about this interview is how little it moves on from Stiegler’s past articulations of this argument. There’s some sweeping generalisations about the extent and impact of automation based on questionable and contested sources (which I think does a disservice to Stiegler’s intellectual project). It is curious that the contributory income is still talked about in such vague terms. It is supposedly an active experiment in Plaine-Commune, so surely there’s a little more detail that could be elaborated? It would be interesting to see some more detailed discussion about this [sorry if I’ve missed it somewhere!].

The principle basis of the contributory income seems to be a fairly institutional (and as far as I can tell – peculiarly French) state programme for supporting workers in the creative industries. As in previous written work and interviews, Stiegler uses the idea of the “intermittents” or “intermittents du spectacle” to signify the idea of work that is subsidised through some form of state administered allowance, such as unemployment benefit. In France people working in the performing arts are entitled to claim for social security benefits designed for people without regular employment [as per the definition provided by Larousse online.]

So, here’s a fairly quick translation of the interview. As usual clarifications or queries about terms are in [square brackets]. I welcome comments or corrections!

Bernard Stiegler: “Reconstructing the economy by rediscovering the value of knowledge”

The philosopher Bernard Stiegler determines a difference between employment, which today is largely proletarianised, and work, which transforms the world through knowledge, and thus cultivates wealth.

Philosopher, Director of the Institute of Research and Innovation (IRI) of the Georges-Pompidou centre and founder of the Ars Industrialis association, Bernard Stiegler has for several years concerned himself with the effects of automation and robotisation. He has notably published The Automatic Society 1: The Future of Work (Fayard 2015) and In Disruption: How not to go mad?(Les liens qui libèrent, 2016). Today he is deeply engaged with a project which beings together nine towns in the Plaine-Commune territory, in Seine-Saint-Denis, to develop and experiment with a “contributive income” which would fund activities that go unrecognised but are useful to the community.

Amazon intends to gain a foothold in the groceries sector with cashier-less convenience stores, like in Seattle. Is automation destined to destroy jobs?

For 47% of jobs in the US, the response from the Massachusetts Institute of Technology is potentially “yes”. The remaining 53% cannot be automated because they are professional roles. They are not proletarianised: they are valued for their knowledge, which gives a capacity for initiative. What makes a profession is what is not reducible to computation, or rather reducible to the processing of data by algorithms. Not all jobs can therefore be automated. But this does not mean they are entirely removed from the processes of automation: everyone will be integrated into automatisms.

For you “employment” and “work” are not the same thing…

For two hundred and fifty years the model of industrial employment has been proletarianised employment, which has continued to grow. At first it was only manual workers, today it has largely exceeded the tertiary sector and affects nearly every task. More and more functions of supervision and even analysis have been proletarianised, for example by ‘big data’, doctors have been proletarianised – which means they are performing less and less of their profession. Proletarianised employment is sublimated by closed and immovable system. Work, on the contrary, transforms the world. So there is employment that does not produce work in this sense, rather the reverse: there is work outside of employment.

The big question for tomorrow is that of the link between automatisms, work outside of employment, and the new types of employment that enable the valroisation of work. The aim of contributive income is precisely to enable the reorganisation of the wealth produced by work in all its forms and cultivate, using the time freed up by automation, the forms of knowledge that the economy will increasingly demand in the anthropocene, this era in which the human has become a major geological factor. It is a case of surpassing the limits through an economy founded on the deproletarianisation of employment.

Optimistic discussions would like automation to free individuals, by eliminating arduous, alienating jobs. But today, it is mostly perceived as a threat…

It is a threat as long as we do not put in place the macroeconomic evolution required by deproletarianisation. The macroeconomy in which we have lived since the conservative revolution is a surreptitious, hypocritical and contradictory transformation of the Keynesian macroeconomics established in 1933. Contradictory because employment remains the central function of redistribution, whereas its reduction, and that of wages, drives the system as a whole towards insolvency.

Employment can no longer be the model for the redistribution of value. And this can no longer be limited to the relationship between use value and exchange value. Use value has become a value of usury, that is to say a disposable value that “trashes” the world – goods become waste, as do people, societies and cultures. The old American Way of Life no longer works: which is why Trump was elected… However if employment is destroyed it is necessary to redistribute not only purchasing power but also purchasing knowledge by reorganising all alternative employment and work.

In what way?

We must rebuild the economy by restoring value to knowledge. Proletarianised employment will disappear with full automation. We must create new kinds of employment, what we call irregular employment [emplois intermittents]. They will constitute intermittent periods in which instances of work that are not instances of employment are economically valued. The work itself will be remunerated by a contributory income allocated under conditions of intermittent employment, as is already the case in the creative industries.

In Intermittents et précaires [something like ~ Intermittent and precarious workers] Antonella Corsani and Maurizio Lazzarato that irregular workers in the creative industries [intermittents du spectacle] work mostly when they are not employed: employment is foremost a moment of implementing the knowledge that they cultivate outside of employment. We must encourage the winning back of knowledge, in every area [of work]. This implies on the one hand to evolve the relationship between individuals and education systems as well as professional associations lifelong learning and so on.

And, on the other hand, to precisely distinguish between information and knowledge. Automated systems have transformed knowledge into information. But this is only dead knowledge. To overcome the anthropocene we must resuscitate knowledge by inteligently practising information – through alternative periods of work and employment. Only in this way can we re-stabilise the economy, where the problems induced by climate change, for example, are only just beginning, and where vital constraint [contrainte vitale] is going to be exercised more and more as a criterion of value. It is a long term objective… But today, what should we do? Nobody can pull a rabbit out of their hat to solve the problem. We must therefore experiment. This is what we are doing with the Plaine-Commune project in Seine-Saint-Denis, which in particular aims to gradually introduce a contributory income according to the model of irregular work [l’intermittence]. With the support of the Fondation de France, we are working with residents in partnership with the Établissement public territorial [something like a unitary authority area?], Orange, Dassault Systèmes and the Maison des sciences de l’homme Paris-Nord [a local Higher Education Institution]–and through them the universities Paris 8 and Paris 13– in dialogue with small and medium enterprises, associations, cooperatives and mutual associations [les acteurs de l’économie sociale et solidaire], artists, cultural institutions. It’s a ten-year project.

Reblog> Good Data: Call for Proposals for Theory on Demand edited book

My Cayla Doll

From the Institute of Network Cultures:

Good Data: Call for Proposals for an INC Theory on Demand edited book

Editors: Angela Daly (Queensland University of Technology), Kate Devitt (Queensland University of Technology) & Monique Mann (Queensland University of Technology).

In recent years, there has been an exponential increase in the collection, aggregation and automated analysis of information by government and private actors, and in response to this there has been a significant critique regarding what could be termed ‘bad’ data practices in the globalised digital economy. These include the mass gathering of data about individuals, in opaque, unethical and at times illegal ways, and the increased use of that data in unaccountable and potentially discriminatory forms of algorithmic decision-making by both state agencies and private companies. Issues of data ethics and data justice are only likely to increase in importance given the totalizing datafication of society and the introduction of new technologies such as artificial intelligence and automation.

In order to paint an alternative, more optimistic but still pragmatic picture of the datafied future, this open access edited collection will examine and propose what could be termed ‘good’ and ‘ethical’ data practices, underpinned by values and principles such as (but not limited to):

  • privacy/regulation/information security by design
  • due process rights
  • procedural legitimacy
  • the protection of individual and collective autonomy
  • digital sovereignty
  • digital anti-discrimination
  • data and intersectionality
  • ethical labour practices
  • environmental sustainability.

Chapters should be short contributions (2500-5000 words) which can take differing forms, for example:

  • Manifestos for Good Data
  • Position papers
  • Traditional academic chapters

Chapters can be theoretical takes or provocations on what Good Data is or should be, or can be case studies of particular Good Data projects and initiatives e.g. Indigenous data sovereignty initiatives, data cooperatives etc. Chapters can also be critiques of initiatives/movements which claim to be ethical but in fact fall short. All chapters, including academic ones, should be written in an accessible way and avoid the excessive use of jargon, etc. Academic chapters will be peer-reviewed. Other contributions will be editor-reviewed.

We encourage contributions from throughout the world and from different disciplinary perspectives: philosophy, media and communications, cultural studies, STS, law, criminology, information systems, computer science etc.

Proposals for chapters (up to 250 words) should be sent to Kayleigh Hodgkinson Murphy (kayleigh.murphy@qut.edu.au) by Friday 15 December 2017. Please include a brief biography (academic/practitioner) and signal what kind of chapter you are proposing (manifesto/academic chapter, etc).

If you have an idea for a chapter and want to discuss it before submitting a proposal, please contact Angela Daly (angela.daly@qut.edu.au) as soon as possible. We may be able to pair, for example, practitioners with academic authors on request.

Decisions on proposals will be made by mid-January 2017, with a first full draft of chapters to be submitted by 31 March 2018. We anticipate the book will be finalized and launched in late 2018, as part of the Institute of Network Cultures’ Theory on Demand series.

Great opportunity > Internship with the Social Media Collective (Microsoft)


Via Nancy Baym:

Call for applications! 2018 summer internship, MSR Social Media Collective


Microsoft Research New England (MSRNE) is looking for advanced PhD students to join the Social Media Collective (SMC) for its 12-week Internship program. The Social Media Collective (in New England, we are Nancy Baym, Tarleton Gillespie, and Mary Gray, with current postdocs Dan Greene and Dylan Mulvin) bring together empirical and critical perspectives to understand the political and cultural dynamics that underpin social media technologies. Learn more about us here.

MSRNE internships are 12-week paid stays in our lab in Cambridge, Massachusetts. During their stay, SMC interns are expected to devise and execute their own research project, distinct from the focus of their dissertation (see the project requirements below). The expected outcome is a draft of a publishable scholarly paper for an academic journal or conference of the intern’s choosing. Our goal is to help the intern advance their own career; interns are strongly encouraged to work towards a creative outcome that will help them on the academic job market.

The ideal candidate may be trained in any number of disciplines (including anthropology, communication, information studies, media studies, sociology, science and technology studies, or a related field), but should have a strong social scientific or humanistic methodological, analytical, and theoretical foundation, be interested in questions related to media or communication technologies and society or culture, and be interested in working in a highly interdisciplinary environment that includes computer scientists, mathematicians, and economists.

Primary mentors for this year will be Nancy Baym and Tarleton Gillespie, with additional guidance offered by other members of the SMC. We are looking for applicants working in one or more of the following areas:

  1. Personal relationships and digital media
  2. Audiences and the shifting landscapes of producer/consumer relations
  3. Affective, immaterial, and other frameworks for understanding digital labor
  4. How platforms, through their design and policies, shape public discourse
  5. The politics of algorithms, metrics, and big data for a computational culture
  6. The interactional dynamics, cultural understanding, or public impact of AI chatbots or intelligent agents

Interns are also expected to give short presentations on their project, contribute to the SMC blog, attend the weekly lab colloquia, and contribute to the life of the community through weekly lunches with fellow PhD interns and the broader lab community. There are also natural opportunities for collaboration with SMC researchers and visitors, and with others currently working at MSRNE, including computer scientists, economists, and mathematicians. PhD interns are expected to be on-site for the duration of their internship.

Applicants must have advanced to candidacy in their PhD program by the time they start their internship. (Unfortunately, there are no opportunities for Master’s students or early PhD students at this time). Applicants from historically marginalized communities, underrepresented in higher education, and students from universities outside of the United States are encouraged to apply.


The Social Media Collective is comprised of full-time researchers, postdocs, visiting faculty, Ph.D. interns, and research assistants. Current projects in New England include:

  • How does the use of social media affect relationships between artists and audiences in creative industries, and what does that tell us about the future of work? (Nancy Baym)
  • How are social media platforms, through their algorithmic design and user policies, taking up the role of custodians of public discourse? (Tarleton Gillespie)
  • What are the cultural, political, and economic implications of crowdsourcing as a new form of semi-automated, globally-distributed digital labor? (Mary L. Gray)
  • How do public institutions like schools and libraries prepare workers for the information economy, and how are they changed in the process? (Dan Greene)
  • How are media standards made, and what do their histories tell us about the kinds of things we can represent? (Dylan Mulvin)

SMC PhD interns may also have the opportunity to connect with our sister Social Media Collective members in New York City. Related projects in New York City include:

  • What are the politics, ethics, and policy implications of artificial intelligence and data science? (Kate Crawford, MSR-NYC)
  • What are the social and cultural issues arising from data-centric technological development? (danah boyd, Data & Society Research Institute)

For more information about the Social Media Collective, and a list of past interns, visit the About page of our blog. For a complete list of all permanent researchers and current postdocs based at the New England lab, see: http://research.microsoft.com/en-us/labs/newengland/people/bios.aspx

Read more.

‘Pax Technica’ Talking Politics, Naughton & Howard

Nest - artwork by Jakub Geltner

This episode of the ‘Talking Politics‘ podcast is a conversation between LRB journalist John Naughton and the Oxford Internet Institute’s Professor Phillip Howard ranging over a number of issues but largely circling around the political issues that may emerge from ‘Internets of Things’ (the plural is important in the argument) that are discussed in Howard’s book ‘Pax Technica‘. Worth a listen if you have time…

One of the slightly throw away bits of the conversation, which didn’t concern the tech, that interested me was when Howard comments on the kind of book Pax Technica is – a ‘popular’ rather than ‘scholarly’ book and how that had led to a sense of dismissal by some. It seems nuts (to me, anyway) when we’re all supposed to be engaging in ‘impact’, ‘knowledge exchange’ and so on that opting to write a £17 paperback that opens out debate, instead of a £80+ ‘scholarly’ hardback, is frowned upon. I mean I understand some of the reasons why but still…

UK Government ramping up ‘robotic process automation’

Still from George Lucas' THX1138

Quite by chance I stumbled across the twitter coverage of a UK Authority event entitled “Return of the Bots” yesterday. There were a range of speakers it seems, from public and private sectors. An interesting element was the snippets about the increasing use of process automation by the UK Government.

Here’s some of the tweets I ‘favourited’ for further investigation (below). I hadn’t quite appreciated where government had got to. It would be interesting to look into the rationale both central and local government are using for RPA – I assume it is cost-driven(?). I hope to follow up some of  this…

Reblog> (video): Gillian Rose – Tweeting the Smart City

Smart City visualisation

Via The Programmable City.

Seminar 2 (video): Gillian Rose – Tweeting the Smart City

We are delighted to share the video of our second seminar in our 2017/18 series, entitled Tweeting the Smart City: The Affective Enactments of the Smart City on Social Media given by Professor Gillian Rose from Oxford University on the 26th October 2017 and co-hosted with the Geography Department at Maynooth University.Abstract
Digital technologies of various kinds are now the means through which many cities are made visible and their spatialities negotiated. From casual snaps shared on Instagram to elaborate photo-realistic visualisations, digital technologies for making, distributing and viewing cities are more and more pervasive. This talk will explore some of the implications of that digital mediation of urban spaces. What forms of urban life are being made visible in these digitally mediated cities, and how? Through what configurations of temporality, spatiality and embodiment? And how should that picturing be theorised? Drawing on recent work on the visualisation of so-called ‘smart cities’ on social media, the lecture will suggest the scale and pervasiveness of digital imagery now means that notions of ‘representation’ have to be rethought. Cities and their inhabitants are increasingly mediated through a febrile cloud of streaming image files; as well as representing cities, this cloud also operationalises particular, affective ways of being urban. The lecture will explore some of the implications of this shift for both theory and method as well as critique.

John Danaher interview – Robot Sex: Social and Ethical Implications

Gigolo Jane and Gigolo Joe robots in the film A.I.

Via Philosophical Disquisitions.

Through the wonders of the modern technology, myself and Adam Ford sat down for an extended video chat about the new book Robot Sex: Social and Ethical Implications (MIT Press, 2017). You can watch the full thing above or on youtube. Topics covered include:

  • Why did I start writing about this topic?
  • Sex work and technological unemployment
  • Can you have sex with a robot?
  • Is there a case to be made for the use of sex robots?
  • The Campaign Against Sex Robots
  • The possibility of valuable, loving relationships between humans and robots
  • Sexbots as a social experiment

Be sure to check out Adam’s other videos and support his work.

Reblog> Robots: ethical or unethical?

Twiki the robot from Buck Rogers

From Peter-Paul Verbeek.


To highlight the relevance of the UNESCO World Commission on the Ethics of Scientific Knowledge and Technology (COMEST) and to present its recent report on the ethics of robotics, the Permanent Delegation of the Kingdom of the Netherlands to UNESCO will organize a lunch debate on “Robots: ethical or unethical?” during the 39th General Conference, on Friday 10 November 2017, in Room X from 13:00 to 14:15.

The session will be opened by H.E. Ambassador Lionel Veer and Ms Nada Al-Nashif, Assistant Director-General for Social and Human Sciences, and will be moderated by Prof. Peter-Paul Verbeek, COMEST member and philosopher.

The issues addressed will be the following:

· What change caused by robots can we expect? Presented by Prof. Vanessa Evers, University of Twente

· Which are the ethical dilemmas? Presented by Prof. Mark Coeckelbergh, University of Vienna

· How can we ensure that innovation is ethical? Presented by Prof. Peter-Paul Verbeek, University of Twente (COMEST member)

The presentations will be followed by an interactive debate with the audience and by a reflection on the role of UNESCO and the COMEST on these issues.

The unapologetic ‘rockstar of regeneration’

A bike café

Thinking back to Jason Luger’s engaging blogpost about ‘the comeuppance’  of Florida’s evolution of his “creative class” thesis, this interview in the grauniad with Florida is sort of interesting to read… ‘Everything is gentrification now’: but Richard Florida isn’t sorry.

“I’m not sorry,” he barks, sitting in a hotel lobby in Mayfair, wearing a leather jacket and black T-shirt. “I will not apologise. I do not regret anything.”