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#dataworkers — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #dataworkers, aggregated by home.social.

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  1. Cosa succede al consenso in un ambiente di lavoro dove rifiutare una richiesta significa perdere il lavoro?

    Questa è la domanda che guida il nuovo rapporto di James Mojez Oyange, annotatore di dati ed ex moderatore di contenuti a Nairobi, e uno dei lavoratori il cui volto, voce e documenti sono stati raccolti dalle aziende che lo impiegavano.

    Il rapporto inizia con la sua esperienza personale, ma va ben oltre un singolo caso

    #DataWorkers #AI
    data-workers.org/Mojez

  2. Cosa succede al consenso in un ambiente di lavoro dove rifiutare una richiesta significa perdere il lavoro?

    Questa è la domanda che guida il nuovo rapporto di James Mojez Oyange, annotatore di dati ed ex moderatore di contenuti a Nairobi, e uno dei lavoratori il cui volto, voce e documenti sono stati raccolti dalle aziende che lo impiegavano.

    Il rapporto inizia con la sua esperienza personale, ma va ben oltre un singolo caso

    #DataWorkers #AI
    data-workers.org/Mojez

  3. Cosa succede al consenso in un ambiente di lavoro dove rifiutare una richiesta significa perdere il lavoro?

    Questa è la domanda che guida il nuovo rapporto di James Mojez Oyange, annotatore di dati ed ex moderatore di contenuti a Nairobi, e uno dei lavoratori il cui volto, voce e documenti sono stati raccolti dalle aziende che lo impiegavano.

    Il rapporto inizia con la sua esperienza personale, ma va ben oltre un singolo caso

    #DataWorkers #AI
    data-workers.org/Mojez

  4. Cosa succede al consenso in un ambiente di lavoro dove rifiutare una richiesta significa perdere il lavoro?

    Questa è la domanda che guida il nuovo rapporto di James Mojez Oyange, annotatore di dati ed ex moderatore di contenuti a Nairobi, e uno dei lavoratori il cui volto, voce e documenti sono stati raccolti dalle aziende che lo impiegavano.

    Il rapporto inizia con la sua esperienza personale, ma va ben oltre un singolo caso

    #DataWorkers #AI
    data-workers.org/Mojez

  5. Cosa succede al consenso in un ambiente di lavoro dove rifiutare una richiesta significa perdere il lavoro?

    Questa è la domanda che guida il nuovo rapporto di James Mojez Oyange, annotatore di dati ed ex moderatore di contenuti a Nairobi, e uno dei lavoratori il cui volto, voce e documenti sono stati raccolti dalle aziende che lo impiegavano.

    Il rapporto inizia con la sua esperienza personale, ma va ben oltre un singolo caso

    #DataWorkers #AI
    data-workers.org/Mojez

  6. Cuando el cuerpo humano se convierte en la materia prima para alimentar sistemas de IA.

    🔗 data-workers.org/mojez/

    «Lo primero que me llamó la atención fue lo que se les pedía a estos trabajadores: No solo su tiempo. No solo su atención. Sino sus cuerpos, sus hogares, sus hijos» James Mojez Oyange, para Data Workers´ Inquiry

    @milamiceli
    @DAIR

    #AI #supplychain #tech #technology #biometric #data #humanrights #labor #work #kenia #Nairobi #workplac #consent #dataworkers

  7. Cuando el cuerpo humano se convierte en la materia prima para alimentar sistemas de IA.

    🔗 data-workers.org/mojez/

    «Lo primero que me llamó la atención fue lo que se les pedía a estos trabajadores: No solo su tiempo. No solo su atención. Sino sus cuerpos, sus hogares, sus hijos» James Mojez Oyange, para Data Workers´ Inquiry

    @milamiceli
    @DAIR

    #AI #supplychain #tech #technology #biometric #data #humanrights #labor #work #kenia #Nairobi #workplac #consent #dataworkers

  8. Cuando el cuerpo humano se convierte en la materia prima para alimentar sistemas de IA.

    🔗 data-workers.org/mojez/

    «Lo primero que me llamó la atención fue lo que se les pedía a estos trabajadores: No solo su tiempo. No solo su atención. Sino sus cuerpos, sus hogares, sus hijos» James Mojez Oyange, para Data Workers´ Inquiry

    @milamiceli
    @DAIR

    #AI #supplychain #tech #technology #biometric #data #humanrights #labor #work #kenia #Nairobi #workplac #consent #dataworkers

  9. Cuando el cuerpo humano se convierte en la materia prima para alimentar sistemas de IA.

    🔗 data-workers.org/mojez/

    «Lo primero que me llamó la atención fue lo que se les pedía a estos trabajadores: No solo su tiempo. No solo su atención. Sino sus cuerpos, sus hogares, sus hijos» James Mojez Oyange, para Data Workers´ Inquiry

    @milamiceli
    @DAIR

    #AI #supplychain #tech #technology #biometric #data #humanrights #labor #work #kenia #Nairobi #workplac #consent #dataworkers

  10. Cuando el cuerpo humano se convierte en la materia prima para alimentar sistemas de IA.

    🔗 data-workers.org/mojez/

    «Lo primero que me llamó la atención fue lo que se les pedía a estos trabajadores: No solo su tiempo. No solo su atención. Sino sus cuerpos, sus hogares, sus hijos» James Mojez Oyange, para Data Workers´ Inquiry

    @milamiceli
    @DAIR

    #AI #supplychain #tech #technology #biometric #data #humanrights #labor #work #kenia #Nairobi #workplac #consent #dataworkers

  11. "ANTONIO CASILLI: Yes. Data workers are today’s factory workers insofar as AI has become like a driving force for so many industries, and they are necessary to produce what we use every day — you know, chatbots and models. Now, we are not talking about tech workers, engineers, product managers, designers, these highly paid and highly recognized professionals. We are talking about persons who are hidden. And I insist on the fact that they are not invisible. They are purposely hidden by the companies that produce AI because they are the secret ingredient of AI itself. They train it. And this is a verb that we are now more familiar with, because we know that, I don’t know, ChatGPT has been trained for a number of years by persons who were literally feeding them data and enriching this data. But they are also, these data workers, those who verify that, for instance, the results of the same ChatGPT are in line with what we are looking for as users. And sometimes they are even those who, you know, operate maintenance, perform maintenance live, meaning that sometimes they replace the machine itself, and so they, to an extent, impersonate AI. So, they do all these things, and they are really poorly paid.

    We have been following and working with them for a number of years, for six years now already, and we have been conducting surveys and interviews and observations in more than 30 countries and interviewed more than 4,000 of these workers in places like, I don’t know, Venezuela or Kenya or Madagascar and so on. And they are really everywhere. They are also in the U.S. and Europe, also in high-income countries. But, of course, given the very low wages that they have as a compensation, these kind of jobs, which are not jobs — these are more tasks that they perform in a more or less formal way — they are more interesting to people who are living in low-income countries."

    democracynow.org/2026/8/27/dat

    #AI #DataWork #DataWorkers #Automation #GenerativeAI #Bigtech

  12. "ANTONIO CASILLI: Yes. Data workers are today’s factory workers insofar as AI has become like a driving force for so many industries, and they are necessary to produce what we use every day — you know, chatbots and models. Now, we are not talking about tech workers, engineers, product managers, designers, these highly paid and highly recognized professionals. We are talking about persons who are hidden. And I insist on the fact that they are not invisible. They are purposely hidden by the companies that produce AI because they are the secret ingredient of AI itself. They train it. And this is a verb that we are now more familiar with, because we know that, I don’t know, ChatGPT has been trained for a number of years by persons who were literally feeding them data and enriching this data. But they are also, these data workers, those who verify that, for instance, the results of the same ChatGPT are in line with what we are looking for as users. And sometimes they are even those who, you know, operate maintenance, perform maintenance live, meaning that sometimes they replace the machine itself, and so they, to an extent, impersonate AI. So, they do all these things, and they are really poorly paid.

    We have been following and working with them for a number of years, for six years now already, and we have been conducting surveys and interviews and observations in more than 30 countries and interviewed more than 4,000 of these workers in places like, I don’t know, Venezuela or Kenya or Madagascar and so on. And they are really everywhere. They are also in the U.S. and Europe, also in high-income countries. But, of course, given the very low wages that they have as a compensation, these kind of jobs, which are not jobs — these are more tasks that they perform in a more or less formal way — they are more interesting to people who are living in low-income countries."

    democracynow.org/2026/8/27/dat

    #AI #DataWork #DataWorkers #Automation #GenerativeAI #Bigtech

  13. "ANTONIO CASILLI: Yes. Data workers are today’s factory workers insofar as AI has become like a driving force for so many industries, and they are necessary to produce what we use every day — you know, chatbots and models. Now, we are not talking about tech workers, engineers, product managers, designers, these highly paid and highly recognized professionals. We are talking about persons who are hidden. And I insist on the fact that they are not invisible. They are purposely hidden by the companies that produce AI because they are the secret ingredient of AI itself. They train it. And this is a verb that we are now more familiar with, because we know that, I don’t know, ChatGPT has been trained for a number of years by persons who were literally feeding them data and enriching this data. But they are also, these data workers, those who verify that, for instance, the results of the same ChatGPT are in line with what we are looking for as users. And sometimes they are even those who, you know, operate maintenance, perform maintenance live, meaning that sometimes they replace the machine itself, and so they, to an extent, impersonate AI. So, they do all these things, and they are really poorly paid.

    We have been following and working with them for a number of years, for six years now already, and we have been conducting surveys and interviews and observations in more than 30 countries and interviewed more than 4,000 of these workers in places like, I don’t know, Venezuela or Kenya or Madagascar and so on. And they are really everywhere. They are also in the U.S. and Europe, also in high-income countries. But, of course, given the very low wages that they have as a compensation, these kind of jobs, which are not jobs — these are more tasks that they perform in a more or less formal way — they are more interesting to people who are living in low-income countries."

    democracynow.org/2026/8/27/dat

    #AI #DataWork #DataWorkers #Automation #GenerativeAI #Bigtech

  14. "ANTONIO CASILLI: Yes. Data workers are today’s factory workers insofar as AI has become like a driving force for so many industries, and they are necessary to produce what we use every day — you know, chatbots and models. Now, we are not talking about tech workers, engineers, product managers, designers, these highly paid and highly recognized professionals. We are talking about persons who are hidden. And I insist on the fact that they are not invisible. They are purposely hidden by the companies that produce AI because they are the secret ingredient of AI itself. They train it. And this is a verb that we are now more familiar with, because we know that, I don’t know, ChatGPT has been trained for a number of years by persons who were literally feeding them data and enriching this data. But they are also, these data workers, those who verify that, for instance, the results of the same ChatGPT are in line with what we are looking for as users. And sometimes they are even those who, you know, operate maintenance, perform maintenance live, meaning that sometimes they replace the machine itself, and so they, to an extent, impersonate AI. So, they do all these things, and they are really poorly paid.

    We have been following and working with them for a number of years, for six years now already, and we have been conducting surveys and interviews and observations in more than 30 countries and interviewed more than 4,000 of these workers in places like, I don’t know, Venezuela or Kenya or Madagascar and so on. And they are really everywhere. They are also in the U.S. and Europe, also in high-income countries. But, of course, given the very low wages that they have as a compensation, these kind of jobs, which are not jobs — these are more tasks that they perform in a more or less formal way — they are more interesting to people who are living in low-income countries."

    democracynow.org/2026/8/27/dat

    #AI #DataWork #DataWorkers #Automation #GenerativeAI #Bigtech

  15. "ANTONIO CASILLI: Yes. Data workers are today’s factory workers insofar as AI has become like a driving force for so many industries, and they are necessary to produce what we use every day — you know, chatbots and models. Now, we are not talking about tech workers, engineers, product managers, designers, these highly paid and highly recognized professionals. We are talking about persons who are hidden. And I insist on the fact that they are not invisible. They are purposely hidden by the companies that produce AI because they are the secret ingredient of AI itself. They train it. And this is a verb that we are now more familiar with, because we know that, I don’t know, ChatGPT has been trained for a number of years by persons who were literally feeding them data and enriching this data. But they are also, these data workers, those who verify that, for instance, the results of the same ChatGPT are in line with what we are looking for as users. And sometimes they are even those who, you know, operate maintenance, perform maintenance live, meaning that sometimes they replace the machine itself, and so they, to an extent, impersonate AI. So, they do all these things, and they are really poorly paid.

    We have been following and working with them for a number of years, for six years now already, and we have been conducting surveys and interviews and observations in more than 30 countries and interviewed more than 4,000 of these workers in places like, I don’t know, Venezuela or Kenya or Madagascar and so on. And they are really everywhere. They are also in the U.S. and Europe, also in high-income countries. But, of course, given the very low wages that they have as a compensation, these kind of jobs, which are not jobs — these are more tasks that they perform in a more or less formal way — they are more interesting to people who are living in low-income countries."

    democracynow.org/2026/8/27/dat

    #AI #DataWork #DataWorkers #Automation #GenerativeAI #Bigtech

  16. @democracynow.org

    Data Workers: "Today's Factory Workers" Exploited & Traumatized in the Pursuit of Autonomous Tech

    youtu.be/o1iLPxwgV4E?si=ac0wk3

    {ed: you did this techbros }

  17. @democracynow.org

    Data Workers: "Today's Factory Workers" Exploited & Traumatized in the Pursuit of Autonomous Tech

    #AI #DataWorkers #AITrainers

    youtu.be/o1iLPxwgV4E?si=ac0wk3

    {ed: you did this techbros }

  18. @democracynow.org

    Data Workers: "Today's Factory Workers" Exploited & Traumatized in the Pursuit of Autonomous Tech

    #AI #DataWorkers #AITrainers

    youtu.be/o1iLPxwgV4E?si=ac0wk3

    {ed: you did this techbros }

  19. @democracynow.org

    Data Workers: "Today's Factory Workers" Exploited & Traumatized in the Pursuit of Autonomous Tech

    #AI #DataWorkers #AITrainers

    youtu.be/o1iLPxwgV4E?si=ac0wk3

    {ed: you did this techbros }

  20. @democracynow.org

    Data Workers: "Today's Factory Workers" Exploited & Traumatized in the Pursuit of Autonomous Tech

    #AI #DataWorkers #AITrainers

    youtu.be/o1iLPxwgV4E?si=ac0wk3

    {ed: you did this techbros }

  21. #DemocracyNow! reports on the extreme exploitation & oppression of hundreds of millions of #DataWorkers across the globe who are training #AI for the #BillionaireClass ..

    #GifsArtidote: .. & making us all liabilities to be murdered by the #WeaponIndustry we fund with our taxes.
    the #NarcissisticRoundabout in full throttle

    the only way to stop it is turning our backs to these systems of death & building anew from the grassroots up.

    youtu.be/o1iLPxwgV4E?

    #press #IndependentMedia #news

  22. #DemocracyNow! reports on the extreme exploitation & oppression of hundreds of millions of #DataWorkers across the globe who are training #AI for the #BillionaireClass ..

    #GifsArtidote: .. & making us all liabilities to be murdered by the #WeaponIndustry we fund with our taxes.
    the #NarcissisticRoundabout in full throttle

    the only way to stop it is turning our backs to these systems of death & building anew from the grassroots up.

    youtu.be/o1iLPxwgV4E?

    #press #IndependentMedia #news

  23. #DemocracyNow! reports on the extreme exploitation & oppression of hundreds of millions of #DataWorkers across the globe who are training #AI for the #BillionaireClass ..

    #GifsArtidote: .. & making us all liabilities to be murdered by the #WeaponIndustry we fund with our taxes.
    the #NarcissisticRoundabout in full throttle

    the only way to stop it is turning our backs to these systems of death & building anew from the grassroots up.

    youtu.be/o1iLPxwgV4E?

    #press #IndependentMedia #news

  24. #DemocracyNow! reports on the extreme exploitation & oppression of hundreds of millions of #DataWorkers across the globe who are training #AI for the #BillionaireClass ..

    #GifsArtidote: .. & making us all liabilities to be murdered by the #WeaponIndustry we fund with our taxes.
    the #NarcissisticRoundabout in full throttle

    the only way to stop it is turning our backs to these systems of death & building anew from the grassroots up.

    youtu.be/o1iLPxwgV4E?

    #press #IndependentMedia #news

  25. #DemocracyNow! reports on the extreme exploitation & oppression of hundreds of millions of #DataWorkers across the globe who are training #AI for the #BillionaireClass ..

    #GifsArtidote: .. & making us all liabilities to be murdered by the #WeaponIndustry we fund with our taxes.
    the #NarcissisticRoundabout in full throttle

    the only way to stop it is turning our backs to these systems of death & building anew from the grassroots up.

    youtu.be/o1iLPxwgV4E?

    #press #IndependentMedia #news

  26. @democracynow.org

    Data Workers: "Today's Factory Workers" Exploited & Traumatized in the Pursuit of Autonomous Tech

    youtu.be/o1iLPxwgV4E?si=ac0wk3

    {ed: you did this techbros - get ready for regulation}

  27. @democracynow.org

    Data Workers: "Today's Factory Workers" Exploited & Traumatized in the Pursuit of Autonomous Tech

    #AI #DataWorkers #AITrainers

    youtu.be/o1iLPxwgV4E?si=ac0wk3

    {ed: you did this techbros - get ready for regulation}

  28. @democracynow.org

    Data Workers: "Today's Factory Workers" Exploited & Traumatized in the Pursuit of Autonomous Tech

    #AI #DataWorkers #AITrainers

    youtu.be/o1iLPxwgV4E?si=ac0wk3

    {ed: you did this techbros - get ready for regulation}

  29. @democracynow.org

    Data Workers: "Today's Factory Workers" Exploited & Traumatized in the Pursuit of Autonomous Tech

    #AI #DataWorkers #AITrainers

    youtu.be/o1iLPxwgV4E?si=ac0wk3

    {ed: you did this techbros - get ready for regulation}

  30. @democracynow.org

    Data Workers: "Today's Factory Workers" Exploited & Traumatized in the Pursuit of Autonomous Tech

    #AI #DataWorkers #AITrainers

    youtu.be/o1iLPxwgV4E?si=ac0wk3

    {ed: you did this techbros - get ready for regulation}

  31. Podcast con la Dott.ssa Julian Posada
    L'intervista parla della forza lavoro nascosta dell'IA, ovvero i lavoratori nei paesi più poveri che etichettano i dati, identificano i contenuti e costruiscono le fondamenta essenziali che alimentano l'attuale rivoluzione dell'intelligenza artificiale.

    #ai #dataworkers #humanrights

    youtube.com/watch?v=QQsm0T4HLvI

  32. Podcast con la Dott.ssa Julian Posada
    L'intervista parla della forza lavoro nascosta dell'IA, ovvero i lavoratori nei paesi più poveri che etichettano i dati, identificano i contenuti e costruiscono le fondamenta essenziali che alimentano l'attuale rivoluzione dell'intelligenza artificiale.

    #ai #dataworkers #humanrights

    youtube.com/watch?v=QQsm0T4HLvI

  33. Podcast con la Dott.ssa Julian Posada
    L'intervista parla della forza lavoro nascosta dell'IA, ovvero i lavoratori nei paesi più poveri che etichettano i dati, identificano i contenuti e costruiscono le fondamenta essenziali che alimentano l'attuale rivoluzione dell'intelligenza artificiale.

    #ai #dataworkers #humanrights

    youtube.com/watch?v=QQsm0T4HLvI

  34. Podcast con la Dott.ssa Julian Posada
    L'intervista parla della forza lavoro nascosta dell'IA, ovvero i lavoratori nei paesi più poveri che etichettano i dati, identificano i contenuti e costruiscono le fondamenta essenziali che alimentano l'attuale rivoluzione dell'intelligenza artificiale.

    #ai #dataworkers #humanrights

    youtube.com/watch?v=QQsm0T4HLvI

  35. Podcast con la Dott.ssa Julian Posada
    L'intervista parla della forza lavoro nascosta dell'IA, ovvero i lavoratori nei paesi più poveri che etichettano i dati, identificano i contenuti e costruiscono le fondamenta essenziali che alimentano l'attuale rivoluzione dell'intelligenza artificiale.

    #ai #dataworkers #humanrights

    youtube.com/watch?v=QQsm0T4HLvI

  36. Riconquistare l'indagine scientifica come strumento per la #lotta dei #lavoratori

    Il saggio pubblicato riflette sulle fondamenta marxiste e sulle implicazioni politiche dell'Indagine dei #DataWorkers

    Mostra sia il potere politico dell'indagine dei lavoratori dei dati sia le sfide pressanti nell'organizzare una forza lavoro globalmente frammentata.

    Il compito di produrre la conoscenza favorevole all'emancipazione collettiva rimane, come sempre, permanente

    #marxismo

    data-workers.org/politics-of-i

  37. Riconquistare l'indagine scientifica come strumento per la #lotta dei #lavoratori

    Il saggio pubblicato riflette sulle fondamenta marxiste e sulle implicazioni politiche dell'Indagine dei #DataWorkers

    Mostra sia il potere politico dell'indagine dei lavoratori dei dati sia le sfide pressanti nell'organizzare una forza lavoro globalmente frammentata.

    Il compito di produrre la conoscenza favorevole all'emancipazione collettiva rimane, come sempre, permanente

    #marxismo

    data-workers.org/politics-of-i

  38. Riconquistare l'indagine scientifica come strumento per la #lotta dei #lavoratori

    Il saggio pubblicato riflette sulle fondamenta marxiste e sulle implicazioni politiche dell'Indagine dei #DataWorkers

    Mostra sia il potere politico dell'indagine dei lavoratori dei dati sia le sfide pressanti nell'organizzare una forza lavoro globalmente frammentata.

    Il compito di produrre la conoscenza favorevole all'emancipazione collettiva rimane, come sempre, permanente

    #marxismo

    data-workers.org/politics-of-i

  39. Riconquistare l'indagine scientifica come strumento per la #lotta dei #lavoratori

    Il saggio pubblicato riflette sulle fondamenta marxiste e sulle implicazioni politiche dell'Indagine dei #DataWorkers

    Mostra sia il potere politico dell'indagine dei lavoratori dei dati sia le sfide pressanti nell'organizzare una forza lavoro globalmente frammentata.

    Il compito di produrre la conoscenza favorevole all'emancipazione collettiva rimane, come sempre, permanente

    #marxismo

    data-workers.org/politics-of-i

  40. Riconquistare l'indagine scientifica come strumento per la #lotta dei #lavoratori

    Il saggio pubblicato riflette sulle fondamenta marxiste e sulle implicazioni politiche dell'Indagine dei #DataWorkers

    Mostra sia il potere politico dell'indagine dei lavoratori dei dati sia le sfide pressanti nell'organizzare una forza lavoro globalmente frammentata.

    Il compito di produrre la conoscenza favorevole all'emancipazione collettiva rimane, come sempre, permanente

    #marxismo

    data-workers.org/politics-of-i