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News & Resources

🤖 Your Daily AI Impact Joke

What's an AI startup's favorite type of funding?
Seed funding—because they want to grow exponentially, not sustainably! 🌱📈

📰 News

AI Data Centers Ignite Voter Backlash Ahead of 2026 Midterms
The proliferation of AI-powered data centers across America is emerging as a pivotal midterm election issue as local communities push back against their environmental impact and infrastructure strain, drawing White House attention to what was once a purely technical infrastructure question. 404 Media reports that Texas residents are mounting fierce resistance against a proposed 6,000-acre nuclear-powered datacenter, with members of the 806 Data Center Resistance declaring that communities are being told AI infrastructure "is inevitable"—but grassroots organizing is proving otherwise.

US-China AI Collaboration Deeper Than Headlines Suggest
Despite geopolitical tensions, American and Chinese researchers are collaborating more closely on AI than public rhetoric would suggest, with Wired's analysis of over 5,000 papers from NeurIPS using OpenAI's Codex revealing specific technical domains where cross-border scientific cooperation continues to flourish. This finding challenges narratives of complete technological decoupling and highlights how the scientific community maintains bridges even as governments erect barriers.

Wired Reveals AI Disinformation Swarms Threaten Democratic Systems
Advances in artificial intelligence are creating unprecedented opportunities for those seeking to spread disinformation at scale and speed that make detection virtually impossible, as automated content generation combines with sophisticated targeting to overwhelm information ecosystems. The investigation details how coordinated AI-powered campaigns can now operate 24/7 across multiple platforms simultaneously, adapting messaging in real-time based on engagement patterns—a capability that outpaces human fact-checkers and traditional content moderation systems.

States Prepare for AI Policy Showdown with Federal Government
Tech Policy Press reports that 2026 will be defined by the clash between Trump's executive order discouraging state AI laws and bipartisan state-level efforts to protect vulnerable populations from AI harms, with many states expected to continue advancing regulation despite potential legal challenges and federal funding pressure. Policy experts predict this will be the "year of enforcement and red lines," where governments must decide whether to prohibit applications like biometric mass surveillance and autonomous weapons or settle for voluntary industry codes of conduct.

Psychologists Rapidly Adopting AI While Raising Red Flags
NPR reports that 56% of psychologists now use AI tools—nearly double last year's 29%—primarily for administrative tasks like note-taking and scheduling that could reduce burnout and free time for patient care. However, over 60% simultaneously express deep concerns about data breaches, algorithmic bias, AI "hallucinations" generating false information, and broader societal impacts, underscoring the profession's ambivalence about technology transforming mental healthcare.

💼 Jobs, Jobs, Jobs

jobs.pcdn.global - Over 1,000 impact-focused career opportunities around the world at the intersection of tech and social change, including many remote positions across nonprofits, social enterprises, and mission-driven organizations.

👤 LinkedIn Profile to Follow

Dr. Joy Buolamwini - Founder, Algorithmic Justice League
AI researcher, poet of code, and author of bestselling "Unmasking AI" who exposed racial and gender bias in facial recognition systems from Microsoft, IBM, and Amazon. Her work catalyzed global policy changes and she now advises world leaders on reducing AI harms while championing algorithmic justice.

🎧 Today's Podcast Pick

Women Disrupting Tech - "Why Your AI Implementation Fails and How to Fix It with Sophia Zitman"
Episode 136 dives into why most AI projects fail—and it's not the technology. Sophia Zitman reveals the human factors that derail implementation, why resistance is often a signal rather than a blocker, and how AI can become an equalizer for women in tech when built the right way.

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