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Why ‘open’ AI systems are actually closed, and why this matters
7 references·4 citing·46 second hop
Why ‘open’ AI systems are actually closed, and why this matters (2024)Why ‘open’ AI systems are actually closed…The uncontroversial ‘thingness’ of AI (2023)The uncontroversial ‘thingnes…The Gradient of Generative AI Release: Methods and Considerations (2023)The Gradient of Generative AI…Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators (2023)Opening up ChatGPT: Tracking …Dislocated accountabilities in the “AI supply chain”: Modularity and developers’ notions of responsibility (2023)Dislocated accountabilities i…The steep cost of capture (2021)The steep cost of captureThe great Transformer: Examining the role of large language models in the political economy of AI (2021)The great Transformer: Examin…Coding Freedom (2013)Coding FreedomTowards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling (2025)Towards AI Accountability Inf…Surfacing citizens’ policy perspectives at scale in the age of large language models (2025)Surfacing citizens’ policy pe…Missed opportunities in AI regulation: lessons from Canada’s AI and data act (2025)Missed opportunities in AI re…"Ownership, Not Just Happy Talk": Co-Designing a Participatory Large Language Model for Journalism (2025)"Ownership, Not Just Happy Ta…The age of surveillance capitalism: the fight for a human future at the new frontier of power (2019)GPT-3: Its Nature, Scope, Limits, and Consequences (2020)Race after technology. Abolitionist tools for the new Jim Code (2020)Big AI: Cloud infrastructure dependence and the industrialisation of artificial intelligence (2024)Pathways for Design Research on Artificial Intelligence (2024)Why and how is the power of Big Tech increasing in the policy process? The case of generative AI (2024)On the Opportunities and Risks of Foundation Models (2021)Can HR adapt to the paradoxes of artificial intelligence? (2022)AI Empire: Unraveling the interlocking systems of oppression in generative AI's global order (2023)Semantics derived automatically from language corpora contain human-like biases (2017)Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions that Shape Social Media (2019)Democratising AI: Multiple Meanings, Goals, and Methods (2023)Black-Box Access is Insufficient for Rigorous AI Audits (2024)Visibility into AI Agents (2024)Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective (1988)We Have Never Been Modern (1994)Artificial intelligence in government: Concepts, standards, and a unified framework (2023)The Presentation of Self in Everyday Life (2023)An elemental ethics for artificial intelligence: water as resistance within AI’s value chain (2024)Overcoming barriers and seizing opportunities in the innovative adoption of next-generation digital technologies (2024)On Bullshit (2005)How open science helps researchers succeed (2016)Model Cards for Model Reporting (2019)Beyond Discrimination: Generative AI Applications and Ethical Challenges in Forensic Psychiatry (2024)Rethinking open source generative AI: open washing and the EU AI Act (2024)Navigating LLM ethics: advancements, challenges, and future directions (2025)Science and the Modern World (2000)What's wrong with a one-world world? (2015)Machine Learners (2017)AI as super-controversy: Eliciting AI and society controversies with an extended expert community in the UK (2024)Reclaiming artificial intelligence accounts: A plea for a participatory turn in artificial intelligence inquiries (2024)Strong and weak AI narratives: an analytical framework (2024)Transforming Qualitative Data: Description, Analysis, and Interpretation (1994)The Ethnography of Infrastructure (1999)The Discovery of Grounded Theory (2017)A comprehensive survey and classification of evaluation criteria for trustworthy artificial intelligence (2024)Law and the Emerging Political Economy of Algorithmic Audits (2024)Trust and transparency in AI: industry voices on data, ethics, and compliance (2025)Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (2018)Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass (2019)A Ladder Of Citizen Participation (1969)Automating the News (2019)Participatory action research (2023)Algorithmic affordances for productive resistance (2018)A Framework for Digital Marketing Research: Investigating the Four Cultural Eras of Digital Marketing (2019)Noncognitive Microfoundations: Understanding Dynamic Capabilities as Idiosyncractically Refined Sensitivities and Predispositions (2019)
this work references cited by second hop

References

  • 2013Coding Freedom459 cited
  • 2023The uncontroversial ‘thingness’ of AI226 cited
  • 2021The great Transformer: Examining the role of large language models in the political economy of AI191 cited
  • 2021The steep cost of capture165 cited
  • 2023Dislocated accountabilities in the “AI supply chain”: Modularity and developers’ notions of responsibility119 cited
  • 2023Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators111 cited
  • 2023The Gradient of Generative AI Release: Methods and Considerations90 cited

Cited by

  • 2025Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling49 cited
  • 2025"Ownership, Not Just Happy Talk": Co-Designing a Participatory Large Language Model for Journalism16 cited
  • 2025Missed opportunities in AI regulation: lessons from Canada’s AI and data act14 cited
  • 2025Surfacing citizens’ policy perspectives at scale in the age of large language models2 cited

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