Hub News
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Susan Aaronson’s paper on the governance of data for LLMs was published by CIGI on March 18.
Aaronson’s op-ed with Dhanaraj Thakur of CDT was published by CIGI on March 21.
Aaronson spoke on AI systems at Penn State Law School on March 23.
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Digital Trade and Data Governance News
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The European Union’s Digital Markets Act went into effect on March 7. The DMA is a potentially groundbreaking regulation which aims to foster competition and enhance user choice by mandating [major US tech] companies to open their platforms to competitors.
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On March 25, the EU then launched DMA non-compliance investigations against Alphabet/Google, Apple, and Meta, focusing on practices that may restrict open digital markets. Violations could lead to fines up to 20% of global turnover.
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China's Cyberspace Administration issued new rules to ease and regulate the export of data that doesn't contain personal or “important data,” simplifying the process for foreign companies (though questions remain about what constitutes “important data”).
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China introduced guidelines to phase out Intel and AMD chips from government computers and sideline Microsoft's Windows, in an effort to boost its semiconductor industry and reduce reliance on foreign tech.
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The FTC proposed enforcement actions against Avast, X-Mode, and InMarket for their invasive practices of collecting and misusing sensitive consumer data.
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Midjourney accused Stability AI employees of data scraping which led to a service outage, and banned them indefinitely from using the platform.
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Artificial Intelligence News
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All 193 member states of UNESCO voted to adopt the first-ever global agreement on the Ethics of Artificial Intelligence, setting universal standards to tackle challenges like bias, privacy, and surveillance while promoting the ethical development of AI to benefit humanity and safeguard human rights.
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Leading AI scientists from the West and China united to declare that preventing AI-related existential threats demands global cooperation akin to cold war nuclear deterrence strategies, emphasizing the need for international collaboration to establish “red lines” in AI development, such as bans on AI-enabled bioweapons and cyber attacks.
- Singapore's Personal Data Protection Commission issued new Advisory Guidelines for the ethical use of personal data in AI recommendation and decision systems.
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Researchers and a French government-backed group unveiled the largest AI training dataset of public domain text, while the nonprofit Fairly Trained has certified its first ethically created large language model, challenging the necessity of using copyrighted content in AI development and highlighting the potential for responsibly sourced data practices.
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The Collective Intelligence Project's “A Roadmap to Democratic AI” outlines a strategy for embedding democracy in AI by 2030, focusing on enhancing collective intelligence, ensuring inclusive governance, and reorganizing AI development to prioritize the public interest.
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Open Future’s latest white paper introduces a commons-based governance model for AI datasets, proposing six principles to manage this data as a public good while avoiding commercial capture.
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Connected by Data's database catalogs global initiatives in participatory data governance, illustrating diverse methods for engaging communities in decision-making about data use, sharing, and collection.
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Automakers, including General Motors, Honda, Kia, and Hyundai, are sharing consumers’ driving data with insurance companies, often without explicit consent, leading to privacy concerns and increased insurance rates for unsuspecting drivers.
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The Data Tank proposes a Social License framework for ethical data re-use in developing countries, focusing on public engagement to address agency imbalances and foster trust.
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In a November 2023 TED Talk, Divya Siddarth discussed how AI and democracy can complement each other and advocated for technology that advances with democratic principles.
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