In this issue, we look at efforts by Big Tech and the Trump Administration to disrupt European democracy, and explore Amazon’s latest move to consolidate control over online retail and advertising.
Read MoreSenior EU Fellow Cori Crider expressed how after the AI summit in Paris, Europe must avoid succumbing to Trump's influence and should assert its independence, rejecting appeasement toward the US and Big Tech, which threaten its political and economic sovereignty.
Read MoreEurope director Max von Thun co-wrote a piece alongside fellow Michelle Nie discussing French AI Action Summit must address Big Tech's control over AI infrastructure and policy to ensure AI aligns with the public interest and independent regulation.
Read MoreCJL director Courtney Radsch argues that AI companies should obtain explicit consent from rights holders before using their content for training AI models, emphasizing the need to respect copyright laws and protect creators' rights.
Read MoreCJL director Courtney Radsch talks about explicit user consent being essential in the AI data collection process to protect individual privacy and autonomy.
Read MoreEurope director Max von Thun and CJL director Courtney Radsch along with EU Tech Policy Fellow Michelle Nie published an expert brief on how artificial intelligence is becoming increasingly monopolized by Big Tech firms due to high entry barriers and anticompetitive practices, posing risks to competition, privacy, security, innovation, and the environment. They prescribe a set of robust policy interventions to address the problems.
Read MoreThe Open Markets Institute shares deep regrets that the European Commission chose not to intervene in Nvidia’s acquisition of Run:ai.
Read MoreThe Open Markets Institute, alongside eight partner organizations, has made a detailed submission to the European Commission, urging it to fully investigate U.S. chipmaker Nvidia’s planned acquisition of workload management startup Run:ai.
Read MoreCJL director Courtney Radsch evaluates how AI collaborations can restructure the media landscape, offering opportunities for publishers while challenging smaller outlets to adapt.
Read MoreSenior reporter Karina Montoya explores the expanding intersection of antitrust issues and AI in journalism, shining a light on the need for local coverage on how AI hinders competition and harms labor rights.
Read MoreSenior legal analyst Daniel Hanley and Europe director Max von Thun co-author an article warning that the monopolization of AI by a few powerful corporations threatens innovation and democracy, urging immediate action to regulate and democratize the technology for the public good.
Read MoreA recap of some of our important pieces from this year's body of work on AI.
Read MoreEurope director Max von Thon urges the EU’s next Competition Commissioner to take bold action against corporate monopolies, especially in digital markets, and to establish a clear vision for fostering fair competition and innovation.
Read MoreIn this issue, we look at the lessons of the U.S. presidential election, and some next steps. We also explore how the EU’s AI strategy might concentrate even more power in the hands of Big Tech.
Read MoreIn The Washington Monthly, Dr. Courtney C. Radsch argues that the survival of artificial intelligence hinges on high-quality, human-generated content and data, which means and that journalists, artists, content creators, and analysts, have more leverage to be fairly compensated for their work than they might realize.
Read MoreA report from Open Markets Institute and Mozilla lays out a roadmap for governments and regulators to take immediate steps to ensure that artificial intelligence (AI) remains a competitive and innovative field, rather than being dominated by a few tech giants.
Read MoreThe Open Markets Institute and Mozilla published a comprehensive report titled "Stop Big Tech from Becoming Big AI: A Roadmap for Using Competition Policy to Keep Artificial Intelligence Open for All.”
Read MoreCJL director Courtney Radsch gives insight on the continuous consolidation of AI within Big Tech companies are edging dangerously close to irreversible damage to developmental building blocks of generative AI.
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