A person working on a laptop with glowing digital graphics of a human AI profile, legal scales, and data symbols floating in the air, representing the ethical and legal challenges of AI piracy in the digital age.
Ethical AI

It’s Not Piracy When AI Does It

When individuals used technology to share paywalled knowledge, it was condemned as piracy. When AI models now scrape, summarize, and reproduce that same information without paying for it, it’s celebrated as innovation. This double standard exposes a deeper contradiction in how we define ownership, creativity, and fairness online. Drawing on examples from Sci-Hub to ChatGPT, the article traces how AI has become the new middleman in the struggle between access and control, where the same act that once got people sued now fuels billion-dollar industries. It asks a pressing question: if technology can bypass the walls of information, who truly benefits: those seeking knowledge, or those selling it?

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Abstract black scratch-style illustration resembling a mushroom cloud explosion, evoking the oppenheimer test, drawn with chaotic charcoal-like lines on a light background.
Ethical AI

The Oppenheimer Test

Every system reaches a point where its makers lose the ability to contain it. Oppenheimer faced it in 1945. Artificial intelligence is moving toward the same line, where control slips and responsibility spreads to those forced to live with the consequences.

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Magnifying glass highlighting a digital stock chart, symbolising the scrutiny of AI investment trends in 2025. The image reflects the tension between economic optimisation and the promises of AI for Good, set against a backdrop of glowing data and financial analytics.
Ethical AI

#AIForGood — or just Good For the Economy?

From healthcare to peacebuilding, AI holds real promise for the public good. But in 2025, the data paints a different picture: while economic applications are rapidly scaled and funded, socially driven AI remains limited in scope, often sidelined or under-resourced. This article takes a closer look at where AI is actually being deployed, and what that reveals about our collective priorities, power structures, and the kind of future we’re building.

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