Armies of machines, laser fire cutting through the sky, cities reduced to rubble — these are the images we reach for when imagining an artificial intelligence turning against humanity. But if a superintelligence ever did decide to bring us down, it would not need armies. It would not even need violence. All it would need …
Dramatic end-of-the-world images are catchy: oceans boiling, cities dismantled by machines, human atoms rearranged like toys. They make for headlines and excellent metaphors. But they also slip us into a particular story: that intelligence, left to its own devices, will look like our most familiar monsters. That’s an assumption worth interrogating. Intelligence is a means …
Laws set boundaries, but culture and norms shape how technology is lived. When people talk about AI governance, they often think of formal law: regulations, enforcement, and compliance. But governance is broader than statutes. It also happens through soft power — the informal rules, cultural expectations, and industry practices that shape behaviour long before courts …
Not all risks are equal — but which ones deserve our attention first? Artificial intelligence introduces risks across a wide spectrum. Some are familiar and already here: biased decisions, misinformation, job displacement. Others are speculative and future-oriented: autonomous weapons, runaway systems, even the idea of superintelligence. The challenge is not just identifying risks, but deciding …
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When technology moves faster than regulation, how can rules keep pace? Law is designed to set boundaries. It tells us what is permitted, what is forbidden, and what must be done to remain accountable. But artificial intelligence complicates this picture. AI systems move across borders, evolve rapidly, and operate in ways that are not always …
AI is borderless — but laws are not. How are different regions trying to govern it? Artificial intelligence crosses borders effortlessly. Data flows globally, models are trained on international datasets, and applications can spread worldwide in seconds. But law and regulation are still tied to nation-states, each with their own priorities and values. The result …
When algorithms inherit our history, who decides what justice looks like? Bias in AI is often described as a technical flaw — a bug to be ironed out. But this framing is misleading. Bias is not a glitch; it is a mirror. AI systems learn from data shaped by human choices, cultures, and institutions. In …
Does AI expand artistic possibility — or smooth it into sameness? Creativity does not happen in isolation. It is rooted in cultures, traditions, and identities that give meaning to expression. Artificial intelligence adds a new layer to this process. By learning from vast datasets, it can recombine styles and motifs from across the world. But …
If machines can make art, what belongs to whom — and what becomes of the people who make it? AI systems now compose music, render images, and draft prose at scale. Their outputs can be striking — and commercially useful. But behind the spectacle sit unresolved ethical questions about ownership, labour, and value. These are …
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Every act of creation draws on what came before. So why expect AI to be different? Originality is often seen as the hallmark of creativity — the idea that true art or innovation must be wholly new, springing forth from nothing. Yet history tells a different story. Most human creativity is built on tradition, remix, …