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Perubahan warna areola dan puting bisa terjadi setelah Anda menjalani operasi payudara untuk mengangkat tumor, contohnya lumpektomi. Operasi pembesaran payudara juga bisa saja mengakibatkan warna areola ordinary berubah menjadi lebih pucat.

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Beberapa faktor yang dapat menyebabkan puting payudara menjadi lebih gelap antara lain perubahan hormon, kehamilan, atau peningkatan produksi melanin. Selain itu, penuaan, gesekan berulang juga dapat berkontribusi terhadap perubahan warna pada place ini.

Jenis puting payudara yang satu ini secara alami menonjol di atas lingkaran puting dan cenderung mengarah ke luar.

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Occasionally, Bing may well learn that specified search topics are returning results not in step with Bing’s ideas, for instance wherever poor actors are deliberately manipulating search results to floor reduced authority written content, exploiting an information void, or otherwise violating Bing’s Webmaster Tips in order to improperly manipulate search results. Prohibited techniques are described additional at Webmaster Rules - Bing Webmaster Equipment. When this happens, Bing may implement extra algorithmic interventions to avoid users from currently being unexpectedly subjected to harmful or misleading articles that they didn't evince an intent to find.

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Like other transformational technologies, harnessing the many benefits of AI is not danger-free, as well as a core Element of Microsoft’s Responsible AI application is designed to detect potential hazards, measure their propensity to manifest, and Make mitigations to deal with them. Guided by our AI Principles and our Liable AI Conventional, we sought to detect, evaluate, and mitigate opportunity hazards although securing the transformative and beneficial works by using the new knowledge offers. In the sections down below we describe our iterative method of identify, evaluate, and mitigate likely hazards. Determine In the product stage, our perform began with exploratory analyses of GPT-4 during the late summer season of 2022. This integrated conducting considerable purple group tests in collaboration with OpenAI. This screening was designed to evaluate how the latest technological know-how would perform with none further safeguards applied to it. Our unique intention right now was to produce unsafe responses, surface opportunity avenues for misuse, and discover capabilities and constraints. Our mixed learnings throughout OpenAI and Microsoft contributed to innovations in product growth and, for us at Microsoft, informed our comprehension of hazards and contributed to early mitigation procedures for generative AI characteristics in Bing. As well as product-degree purple team tests, a multidisciplinary crew of industry experts conducted numerous rounds of software-degree purple crew tests over the earlier Copilot in Bing AI ordeals before making them publicly offered inside our minimal release preview. This method served us far better know how the method may very well be exploited by adversarial actors and boost our mitigations. Non-adversarial worry-testers also extensively evaluated new Bing options for shortcomings and vulnerabilities. Submit-launch, The brand new AI experiences in Bing are integrated in the Bing engineering Business’s current output measurement and testing infrastructure. As an example, purple workforce testers from distinctive areas and backgrounds constantly and systematically try and compromise the technique, as well as their findings are utilized to broaden the datasets that Bing employs for increasing the procedure.