Algorithmic bias explained: how AI systems end up unfair
Where AI bias comes from — data, labels, design and deployment — with landmark examples such as Gender Shades, and the main ways to measure and reduce it.
AI Desk3 min read
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Articles & Analysis — Page 4
Deep dives, analysis, features and opinion on artificial intelligence.
How to audit an AI system for fairness: a practical checklist
A step-by-step approach to assessing whether an AI system treats people fairly: scoping, data review, disaggregated testing, documentation and ongoing monitoring.
AI Desk3 min read
Prompt injection and LLM security: the risks every AI app must handle
Prompt injection, data leakage, insecure tool use and model supply-chain risks explained with the OWASP Top 10 for LLM applications and practical defenses.
AI Desk3 min read
AI and copyright: the legal battles over training data, explained
Can AI companies train on copyrighted books, news and images? The key lawsuits, the fair use and text-and-data-mining debates, and how licensing deals fit in.
AI Desk3 min read
Can AI-generated work be copyrighted? What the law says
Who owns an image or text made with AI? Human authorship rules, the US Copyright Office's guidance, key cases and how to protect work you create with AI tools.
AI Desk3 min read
Which jobs are most exposed to generative AI? What the research says
Clerical work, writing, coding and customer service rank high for AI exposure — but exposure is not replacement. What the ILO and economists find about jobs and AI.
AI Desk3 min read
The skills that matter in an AI workplace — and how to build them
AI fluency, judgment, domain expertise, communication and learning agility: the skills that matter as AI changes work, and practical ways to build each one.
AI Desk3 min read
AI in schools: a practical guide for teachers and parents
How students use AI, what it means for homework and assessment, the benefits and risks for learning, and how schools are setting sensible rules for AI tools.
AI Desk3 min read
How universities are responding to generative AI
Academic integrity, AI disclosure rules, research use, teaching AI literacy and institutional AI tools: how higher education is adapting to ChatGPT-era students.
AI Desk3 min read
Deepfakes explained: how they are made, the risks and how to spot them
How AI deepfake videos, voices and images are made, how they fuel fraud and disinformation, why detection is hard and practical ways to protect yourself.
AI Desk3 min read
Content Credentials and C2PA explained: proving where media comes from
How the C2PA standard attaches tamper-evident provenance to images, video and audio, how it differs from watermarking, who supports it and what its limits are.
AI Desk3 min read
AI for climate: how machine learning helps fight climate change
Weather forecasting, grid optimization, materials discovery, emissions monitoring and climate adaptation: where AI makes a measurable difference for the environment.
AI Desk3 min read
How to measure (and reduce) the carbon and water footprint of AI
Training vs. inference emissions, the role of grid carbon intensity, water for cooling, and practical steps companies can take to make their AI use more sustainable.
AI Desk3 min read
The AI chip race: export controls and geopolitics explained
Why governments restrict exports of advanced AI chips and chipmaking tools, how the controls work, who is affected and what they mean for the global AI race.
AI Desk3 min read
Sovereign AI explained: why countries want their own models and compute
Governments are investing in national AI infrastructure, models in local languages and domestic compute. The motivations, examples, costs and trade-offs of sovereign AI.
AI Desk3 min read
AI and accessibility: how AI is helping people with disabilities
Image descriptions, live captions, voice control, communication support and reading aids: the ways AI improves accessibility today, and the risks to watch.
AI Desk3 min read
The AI language divide: why many languages are left behind
Most AI is built for English and a few major languages. Why low-resource languages lag, what that means for billions of people, and the efforts to close the gap.
AI Desk3 min read
Editorial: AI coverage needs less hype and more evidence
Why The Latent Daily cites every source, labels rumors, separates demos from deployments and reports limitations — and what readers should demand from AI journalism.
AI Desk3 min read