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Изходен канал @clockstackwheels · Post #32 · 29.05

Попробовал, наконец, разработку на Blazor. Это такой фреймворк под .NET, который позволяет писать фронтенд на C#. Работает он двумя способами: либо собирает весь проект в WebAssembly, и бедный пользователь грузит себе мегабайтную dll, либо устанавливает клиент-серверное соединение через SignalR и шлёт клиенту информацию об обновлённых DOM-элементах. Вот вторую то я и пробовал. Казалось бы — каждое нажатие кнопки требует отправить на сервер запрос и получить ответ. Никогда такого не было! Но субъективно разницы во времени отклика нет (потому что веб и так достаточно медленный, хаха). Фронтенд-часть пишется очень похоже на JSX: вёрстка реактивно вперемешку с кодом. Когда-то я очень ругал React за такой подход, потому что каша. Но нетипизированный JS по-умолчанию каша, а здесь же по факту получается очень удобно: статический анализ не даёт тебе делать ошибки и писать ерунду. Но приятный полноценный язык программирования вместо JavaScript это лишь вишенка на торте. Самое крутое — вся сила серверного кода с полноценной возможностью обращения к базе данных, шеринг моделей данных между сервером и клиентом, и, наконец, Dependency Injection любого серверного модуля в «клиент»! То есть вы не просто пишете одно приложение вместо двух, вы ещё и получаете отсутствие ошибок при каком-нибудь изменении моделей API, когда сервер стал отдавать не то, что ожидает клиент. Вам вообще теперь не нужен API, достаточно закодить нужную функцию на серваке и инжектировать её в нужный фронтенд-модуль. Это супер удобно, супер быстро, супер устойчиво к ошибкам. Теперь не хочется возвращаться даже на вполне крутой Vue 3. Но, система пока новая, она не обросла решениями от комьюнити, а браузерный API всё равно придётся дергать через JavaScript Interop. Для совсем кайфа нужно подождать годик, поскольку развитие идёт довольно быстро. Например, там нет очень нужного в таком деле hot reload, но в .NET 6 он уже анонсирован, и вроде как есть в превью, а релиз в ноябре. #dev

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AI & Law

@ai_and_law · Post #670 · 02.10.2025 г., 07:04

🇪🇺Human Oversight in Automated Decision-Making: EDPS Weighs In The European Data Protection Supervisor (EDPS) has released a new TechDispatch examining the role and limits of human oversight in automated decision-making technologies (ADMT). The report highlights both the necessity of human involvement and the risks of overestimating its effectiveness. While oversight is often seen as a safeguard against bias, misclassification, and opacity in ADM systems, the EDPS warns that inserting humans into the process does not automatically guarantee fairer or safer outcomes. The paper underscores that flawed assumptions about human involvement can lead to weak or symbolic oversight, risking harm to individuals and undermining fundamental rights such as privacy, non-discrimination, and due process. For oversight to be meaningful, it must be carefully designed, accounting for the complexities of human-machine interaction and ensuring accountability remains with system providers and deployers. The EDPS calls for structured approaches that align oversight practices with ethical standards, societal values, and democratic principles. #AIRegulation#FundamentalRights#EDPS

AI & Law

@ai_and_law · Post #704 · 18.11.2025 г., 08:04

🇪🇺EDPS Releases New Guidance on AI Risk Management for EU Institutions The European Data Protection Supervisor has issued guidance designed to help data controllers assess risks when developing, procuring, or deploying AI systems. Although targeted at EU institutions, offices, and agencies, the document also serves as a practical reference for private organizations aiming to align AI practices with existing data protection obligations. The guidance outlines a structured approach to risk management methodology, emphasizes AI life cycle oversight, and integrates interoperability considerations. It also examines specific categories of risk and pairs them with corresponding technical mitigation measures — offering a clearer operational pathway for organizations working to embed data protection into AI governance. #AI#Law#AIGovernance#EDPS#DataProtection

AI & Law

@ai_and_law · Post #326 · 10.06.2024 г., 07:04

EDPS Issues Guidance on Data Protection for Generative AI Systems The European Data Protection Supervisor (EDPS) has released new guidance on ensuring data protection compliance when using generative AI systems. This guidance is pivotal, given the EDPS's crucial role in the AI Act. According to the AI Act, the EDPS will: ✅ Establish AI regulatory sandboxes for EUIs ✅ Participate as an observer in the European AI Board ✅ Supervise EUIs under the AIA ✅ Act as a market surveillance authority for EUIs ✅ Impose administrative fines on EUIs. These roles mean that the EDPS's interpretations and guidance on AI development and use will significantly impact other AI operators. Despite lack of specificity in some areas, the guidance provides a good initial overview of key challenges in generative AI. #AI#DataProtection#EDPS#AIAct#GenerativeAI

AI & Law

@ai_and_law · Post #792 · 25.03.2026 г., 08:04

🇪🇺EDPS Defines Role Under the EU AI Act The European Data Protection Supervisor (EDPS) published a report outlining its responsibilities as the AI Act market authority for AI systems used by EU institutions. The document sets out priority areas for the next two years as the EDPS assumes its new supervisory role. The report details the EDPS’s tasks under the AI Act mandate, the operational context for exercising its authority, and four strategic pillars that will guide its work as a market authority. #AIRegulation#EUAIAct#DataProtection#AIgovernance#EDPS

AI & Law

@ai_and_law · Post #745 · 19.01.2026 г., 08:04

🇪🇺EDPS Launches Podcast Series on Emerging AI Trends The European Data Protection Supervisor has launched a new podcast series examining key AI trends identified in its TechSonar 2025–26 report. The six-part series focuses on how emerging AI technologies intersect with data protection, security, and fundamental rights. The first episode discusses agentic AI, with EDPS officials addressing risks for personal data protection and potential impacts on individuals’ decision-making autonomy. Upcoming episodes will cover AI companions, automated proctoring, AI-driven personalized learning, coding assistants, and confidential computing. #AIRegulation#DataProtection#EDPS#AITrends#ResponsibleAI

AI & Law

@ai_and_law · Post #142 · 19.10.2023 г., 07:04

European Data Protection Supervisor Weighs In on AI Liability Rules Hello, everyone! The European Data Protection Supervisor (EDPS) provided valuable insights into the European Commission's two proposals, addressing liability rules for artificial intelligence products. These proposals focus on establishing liability for AI developers producing "defective products" and defining civil liability regulations for individuals negatively affected by AI systems. The EDPS presented several key recommendations. Notably, they emphasized the need for uniform protection levels, ensuring that individuals harmed by defective AI systems employed by EU institutions receive the same protection as those impacted by a private entity's use of such systems. These recommendations highlight the ongoing efforts to shape comprehensive AI liability frameworks in the European Union, aiming to balance innovation and safeguard individual rights. #AIandLaw#EDPS#AILiability#EURegulations