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Applied AI in HR
The risk of bias in recruiting: Why AI is only as fair as its application—and why "scoring AI" is something completely different from decision support
AI in recruiting is not automatically objective—on the contrary, bias can scale massively through scoring models. How AI is used is crucial. Why decision support is fairer than rankings—and how ki:seido structures applications without evaluating candidates.
Jan 284 min read
AI in Recruiting: What the EU AI Act Means in Practice – and What It Doesn’t
The EU AI Act introduces a binding legal framework for using AI in recruiting. AI systems that influence candidate selection or profiling are typically classified as high-risk and subject to strict requirements. This article explains which recruiting tools are affected, what obligations companies must meet, and how AI can still be used responsibly and effectively in HR processes.
Jan 214 min read
The 5 Most Common Mistakes in Application Screening - and Why They Are Systemic
Why good recruiting often fails at the application screening stage.
The five most common mistakes — and how structured processes significantly improve decision quality.
Jan 143 min read
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