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Analysis of Trump's policies: Evidence suggests a convergence of factors where a deliberate project of targeted societal restructuring and a system of pervasive self-enrichment are the primary drivers
This potent combination, in turn, creates the dangerous social and economic preconditions that align with historical patterns of manufacturing consent for war.
Key Takeaways from Day 1 of the AI For Developing Countries (AIFOD) Summit — Opportunities and Insights for Scholarly Publishers
For scholarly publishers, the message is clear: engage now in the co-creation of the AI future with emerging economies—or risk being sidelined in the next chapter of global knowledge production.
Oracle’s $1 billion commitment may boost the Netherlands’ digital capabilities and economic competitiveness. The country risks trading long-term autonomy for short-term convenience.
Digital sovereignty demands more than local data centers—it requires legal, political, and infrastructural control over the tools that underpin national security, democratic governance & innovation.
Dr. Wendy O’Brien: If we continue investing everything—from land and water to trust and dignity—into AI without a plan for equitable returns, we may amplify inequality, not overcome it.
But if we act wisely, collaboratively, and ethically, AI can still be a tool for shared prosperity. Let us choose that path.
By reclaiming control over data, infrastructure, and AI innovation, the Netherlands and the EU are trying to prevent a future where European knowledge and data fuel foreign monopolies.
The road to sovereignty is long and complex, but the first steps have been taken. For Europe, Groningen may yet prove to be the birthplace of a new kind of independence.
AI need not come at the cost of human creativity. But for this future to materialize, it must be built on respect, transparency, and shared value.
The balance struck today—between access and control, innovation and integrity—will define the legitimacy of tomorrow’s AI ecosystem.
Cloudflare’s "Beyond the Checklist" makes a compelling case for why compliance must evolve from a static list of obligations into a dynamic system of trust, adaptability, and governance.
Whether through platform integration, responsible AI frameworks or continuous risk assessment, the future of AI compliance will belong to those who see regulation not as constraint, but as opportunity
The European Parliament’s study is a crucial contribution that avoids techno-utopianism and legal inertia alike.
By reaffirming the human-centric foundations of copyright, introducing proportionate safeguards, and proposing a path toward statutory remuneration, the report offers a balanced and actionable vision.
The EU’s Code of Practice for GPAI models is a blueprint for how democratic societies can steer the development of AI technologies toward accountability, legality, and human-centricity.
Its success hinges on adoption, enforcement, and adaptation—and all stakeholders have a role to play in that unfolding story.