The Critical Rise of Explainable AI
Explainable AI has moved from academic sub-field to commercial imperative as regulators, enterprise buyers and courts all demand that AI justify its outputs. Here is what that shift means in
9 articles
Explainable AI has moved from academic sub-field to commercial imperative as regulators, enterprise buyers and courts all demand that AI justify its outputs. Here is what that shift means in
Generative AI in creative industries reached $4.06bn in 2025, growing at 32.3% annually. Stuart Kerr examines why 2025 is the year the tipping point arrived for music, gaming, and enterprise.
Artificial intelligence is transforming archaeology from satellite survey to ancient script decipherment, accelerating discovery while demanding careful human oversight at every stage.
AI climate tools like AlphaEarth offer powerful environmental monitoring capabilities, but without Indigenous data sovereignty frameworks they risk replicating extractive colonial patterns.
Google DeepMind's AlphaEarth maps Earth at 10-metre resolution with 24% lower error rates. Its applications extend from climate monitoring to disaster response, infrastructure siting, and beyond.
Artificial intelligence is reshaping agriculture through precision farming, robotic harvesting, and climate adaptation tools that could determine whether the world can feed itself.
AI pet technology ranges from genuinely useful veterinary diagnostics to products whose scientific basis is far weaker than their marketing suggests. Here is how to tell the difference.
Machine learning is finding buried sites, reassembling shattered artefacts, and reading damaged manuscripts. AI is transforming what is possible in archaeology and cultural heritage.
AI-powered brain-computer interfaces are restoring speech and movement to paralysed patients. Here is the current state of the technology and what it means for human-machine interaction.