Search Results
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Commons-based data governance
Part of the Deep Dive: AI Webinar Series Issues related to data governance (its openness, provenance, transparency) have traditionally been... |
October 14, 2023 | Page |
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Should OpenRAIL licenses be considered OS AI Licenses?
Part of the Deep Dive: AI Webinar Series Advances in AI have been enabled in-part thanks to open source (OS)... |
October 14, 2023 | Page |
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Data Cooperatives and Open Source AI
Data Cooperatives have been proposed as a possible remediation to the current power disparity between citizens/internet users from whom data... |
October 14, 2023 | Page |
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Preempting the Risks of Generative AI: Responsible Best Practices for Open-Source AI Initiatives
As artificial intelligence (AI) has proliferated across many industries and use cases, changing the way we work, interact and live... |
October 14, 2023 | Page |
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Covering your bases with IP Indemnity
Part of the Deep Dive: AI Webinar Series When working with LLM providers that don't have their models public (Anthropic,... |
October 14, 2023 | Page |
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Data privacy in AI
Part of the Deep Dive: AI Webinar Series Data privacy in AI is something everyone needs to plan for. As... |
October 14, 2023 | Page |
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Opening up ChatGPT: a case study in operationalizing openness in AI
Part of the Deep Dive: AI Webinar Series Openness in AI is necessarily a multidimensional and therefore graded notion. We... |
October 14, 2023 | Page |
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Open source AI between enablement, transparency and reproducibility
Part of the Deep Dive: AI Webinar Series Open source AI is a misnomer. AI, notably in the form of... |
October 14, 2023 | Page |
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Operationalising the SAFE-D principles for Open Source AI
Part of the Deep Dive: AI Webinar Series The SAFE-D principles (Leslie, 2019) were developed at the Alan Turing Institute,... |
October 14, 2023 | Page |
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Should we use open source licenses for ML/AI models?
Part of the Deep Dive: AI Webinar Series Open source AI models are exponentially increasing in number and the variety... |
October 14, 2023 | Page |
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Copyright — Right Answer for Open Source Code, Wrong Answer for Open Source AI?
Part of the Deep Dive: AI Webinar Series Open source has always found its legal foundation primarily in copyright. Although... |
October 14, 2023 | Page |
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Fairness & Responsibility in LLM-based Recommendation Systems: Ensuring Ethical Use of AI Technology
Part of the Deep Dive: AI Webinar Series The advent of Large Language Models (LLMs) has opened a new chapter... |
October 14, 2023 | Page |
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Perspectives on Open Source Regulation in the upcoming EU AI Act
Part of the Deep Dive: AI Webinar Series This presentation will delve into the legal perspectives surrounding the upcoming EU... |
October 14, 2023 | Page |
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Federated Learning: A Paradigm Shift for Secure and Private Data Analysis
Part of the Deep Dive: AI Webinar Series IntroductionThere are situations where data relevant to a machine learning problem are... |
October 14, 2023 | Page |
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The Ideology of FOSS and AI: What “Open” means relating to platforms and black box systems
Part of the Deep Dive: AI Webinar Series The initial conception of Free and Open Source Software was developed during... |
October 14, 2023 | Page |
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Challenges welcoming AI in openly-developed open source projects
Part of the Deep Dive: AI Webinar Series Openly-developed open source projects are projects that are developed in a decentralized... |
October 14, 2023 | Page |
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Data is the key to Open Source AI
Part of the Deep Dive: Data Governance Webinar Series Video transcript Speaker: Stefano Maffulli, Executive Director, Open Source Initiative (OSI)... |
October 6, 2025 | Page |
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A data pathway to building public AI
Part of the Deep Dive: Data Governance Webinar Series In my talk, I will focus on how public AI goals can be... |
October 7, 2025 | Page |
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Governments as data providers for AI
Part of the Deep Dive: Data Governance Webinar Series Government intervention in the AI ecosystem is typically disregarded as heavy-handed regulation that... |
October 7, 2025 | Page |
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Copycats and the Commons: Governing Open Data for Trustworthy AI
Part of the Deep Dive: Data Governance Webinar Series The proliferation of open data on Community-Contributed Platforms (CCPs) is often championed as... |
October 7, 2025 | Page |
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Sovereign by Design: A Blueprint for Federated, Consent-Based AI Systems
Part of the Deep Dive: Data Governance Webinar Series Open source AI is often praised for transparency and scale—but too often overlooks... |
October 7, 2025 | Page |
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Trends and Insights of China Open Source Ecosystem in AI Era
Part of the Deep Dive: Data Governance Webinar Series China’s open source ecosystem is entering a period of rapid growth, driven by... |
October 7, 2025 | Page |
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New licensing initiatives for AI training data
Part of the Deep Dive: Data Governance Webinar Series This talk will build on ongoing work by the Centre for Internet and... |
October 7, 2025 | Page |
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How Data Provenance Powers Trustworthy AI
Part of the Deep Dive: Data Governance Webinar Series Today’s AI models depend on an invisible supply chain: the data they’re trained... |
October 7, 2025 | Page |
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The CLeAR Documentation Framework for AI Transparency: Recommendations for Practitioners
Part of the Deep Dive: Data Governance Webinar Series As AI systems become more widespread, so does the need for easy to... |
October 7, 2025 | Page |
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Anticipatory Bias Governance in AIED: From Reactive Detection to Proactive Design
Part of the Deep Dive: Data Governance Webinar Series Current data governance frameworks for Artificial Intelligence in Education (AIED) treat algorithmic fairness... |
October 7, 2025 | Page |
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What should open source AI aspire to be?
Part of the Deep Dive: Data Governance Webinar Series The discourse around open source AI typically considers openness and transparency a key... |
October 7, 2025 | Page |
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Building Public Data for LLMs
Part of the Deep Dive: Data Governance Webinar Series As the capabilities and influence of large language models (LLMs) continue to expand,... |
October 7, 2025 | Page |
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A new paradigm for publishing library collections: Institutional Books 1.0, a 242B token dataset
Part of the Deep Dive: Data Governance Webinar Series Data plays a critical role in the AI ecosystem, so much so that... |
October 7, 2025 | Page |
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Beyond Extraction: Building Community-Centered Speech Data
Part of the Deep Dive: Data Governance Webinar Series With the advent of deep learning, speech recognition models like Open AI’s Whisper... |
October 7, 2025 | Page |
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Saving What’s Ours: The Data Rescue Project and the Fight for Public Data
Part of the Deep Dive: Data Governance Webinar Series The Data Rescue Project (DRP) emerged as a collaborative effort to protect and... |
October 7, 2025 | Page |
