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Изходен канал @clockstackwheels · Post #1237 · преди 27 дни

В 2023 году мы с коллегой сделали доклад на DotNext по DDD и архитектуре систем. И там, в числе прочего, показали, что устройство сложного проекта, спроектированного по определённым правилам, может иметь фрактальную структуру. Но мысль эту особо не развивали. В 2024 году Влад Хононов — автор одной из самых известных книг по DDD — сделал доклад на DotNext по теме «Фрактальная геометрия в проектировании систем». Разумеется, он никаким образом на нашу идею не опирался, а работал над своей системой уже несколько лет к моменту доклада. У него там прям интересные научные обоснования, более серьёзный теоретический фундамент с введением новых понятий и принципов. Но факт близости хода мысли приятен. Типа, мы с коллегой делали систему, которая показала те же свойства, что и системы крутого эксперта в архитектуре. Прям рекомендую доклад по второй ссылке всем, кто работает в компаниях, где по какому-то странному недосмотру есть архитектура, борьба с техдолгом и попытки не допустить превращения кода в лапшу с высоким зацеплением. #dev@clockstackwheels

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AI & Law

@ai_and_law · Post #352 · 15.07.2024 г., 07:04

Key Institutions Enforcing the EU AI Act Freshfields Bruckhaus Deringer has outlined the main institutions responsible for enforcing the EU AI Act. At the EU level, the European Commission, through the AI Office, has exclusive powers over general-purpose AI (GPAI), overseeing compliance, coordinating cross-border investigations, and overruling national decisions when necessary. National market surveillance authorities manage other aspects, with extensive powers for surveillance, investigation, and enforcement. The European Artificial Intelligence Board advises on consistent application, supported by a scientific panel that issues alerts on systemic risks. The European Data Protection Supervisor also plays a role in enforcement. #AIAct#AICompliance

AI & Law

@ai_and_law · Post #627 · 04.08.2025 г., 07:04

📖Companies Partner on AI Law Platform to Help Scale Common Governance Practices To address the growing complexity of AI regulation, Luminos.AI and ZwillGen have launched the "ZwillGen Law Library", a new platform designed to automate legal risk assessments and benchmark compliance with frameworks such as the EU AI Act and the Colorado AI Act. The tool also enables technical testing of AI models for bias and deidentification risk. This partnership signals a shift from fragmented legal interpretation to scalable, embedded governance infrastructure. #AI#AICompliance#AIGovernance

AI & Law

@ai_and_law · Post #480 · 09.01.2025 г., 08:04

🇪🇺A Collaborative Milestone: Second Draft of General-Purpose AI Code of Practice The second draft of the General-Purpose AI Code of Practice has been unveiled, reflecting extensive collaboration among nearly 1,000 stakeholders, including EU Member State representatives and international observers. This draft incorporates insights from November 2024 Working Group meetings, interactive polls, and 354 written submissions on the first draft. AI model providers also contributed through dedicated workshops, ensuring that industry perspectives were well-integrated. The Code offers a roadmap for general-purpose AI model providers to align with the AI Act, focusing on compliance throughout a model's lifecycle. Its importance is underscored by the impending regulations effective August 2, 2025, particularly for newly released models. The next steps include Working Group meetings in January 2025 to address technical risk mitigation, transparency, governance, and copyright rules. A third draft is anticipated by mid-February 2025, marking a critical step toward operationalizing AI governance. #AIRegulation#AICompliance#AIGovernance

AI & Law

@ai_and_law · Post #445 · 18.11.2024 г., 07:04

The EU Drafts the Future: First General-Purpose AI Code of Practice Released The EU has unveiled the first draft of its "General-Purpose AI Code of Practice". This foundational document, developed by the European AI Office and independent expert groups, aims to provide actionable guidance for providers of general-purpose AI models. Key takeaways include a focus on systemic risk assessment, transparency in training datasets, and detailed compliance procedures aligned with the forthcoming AI Act. This draft is open for feedback and marks a critical step in establishing operational measures and KPIs for responsible AI deployment. As outlined in Article 56(2) of the AI Act, the code addresses systemic risk mitigation, proportionality in risk management, and adapting to market and technological changes. While not final, this initiative sets a precedent for harmonizing AI governance in Europe and beyond. #AICompliance#EUAIAct#AIRegulation

AI & Law

@ai_and_law · Post #429 · 28.10.2024 г., 08:04

Shoosmiths & Enzai's Strategic Alliance Present New AI Compliance Solution In an era of rapid AI adoption and evolving regulations, UK law firm Shoosmiths and AI governance platform Enzai have teamed up to launch "AI Comply". This new platform is designed to help businesses navigate the complex landscape of AI regulations, blending Enzai’s advanced AI governance workflows with legal guidance from Shoosmiths. It offers a comprehensive solution to the growing compliance challenges faced by businesses using AI technologies. Ryan Donnelly, CEO of Enzai, emphasized that AI Comply combines legal expertise with AI governance, making it a powerful tool that allows companies to innovate confidently while meeting regulatory requirements. As part of Shoosmiths’ connected services arm, Eight, AI Comply reflects a commitment to legal innovation and helping clients navigate AI-related challenges. According to Shoosmiths’ upcoming Litigation Risk Report, over 80% of general counsels expect AI-related disputes to pose a significant risk in the coming year—making AI Comply a timely and strategic tool for mitigating these risks. #AICompliance#AIRegulation#LegalTech#AIGovernance

AI & Law

@ai_and_law · Post #712 · 28.11.2025 г., 08:04

🇺🇸Khan v. Figma The Khan v. Figma lawsuit highlights a core governance challenge in the AI era: whether companies can unilaterally repurpose user-generated content for model training after years of promising not to. The complaint alleges that Figma, long positioned as a trusted cloud-based environment for design collaboration, quietly switched on “Content Training” for large segments of its user base in 2024, enabling the company to train generative-AI models on proprietary creative assets, trade secrets, and commercially sensitive material. For a platform whose value depends on users uploading IP-protected content, the shift represents a fundamental break in expectations. The case underscores a deeper structural pressure: as AI competitiveness becomes a valuation driver, even non-AI-native platforms may be incentivized to tap their data reservoirs, regardless of earlier contractual commitments. #AI#IntellectualProperty#AICompliance#AIEthics

AI & Law

@ai_and_law · Post #409 · 02.10.2024 г., 07:04

U.S. Department of Justice Issues AI Compliance Guidelines: What Corporate Leaders Need to Know The U.S. Department of Justice (DoJ) has expanded its Evaluation of Corporate Compliance Programs (ECCP) to include the use of artificial intelligence (page four of the ECCP document here). This means companies deploying AI technologies must assess their potential for harm and ensure compliance or face significant legal consequences. Compliance officers now have a new challenge—ensuring their AI systems do not facilitate criminal activities or lead to unintended legal violations. Among the questions DoJ prosecutors will ask during investigations are: How does the company assess AI's impact on compliance with criminal laws? What steps are being taken to mitigate misuse by insiders? Companies are expected to monitor and test AI applications to prevent breaches, with the clear message that accountability lies with the company, not the AI. For corporate leaders, the takeaway is simple: AI governance and compliance are no longer optional—they're critical for avoiding legal pitfalls. #AICompliance#AIRegulation#EthicsInAI#LegalTech

AI & Law

@ai_and_law · Post #372 · 12.08.2024 г., 07:04

OpenAI Supports EU AI Act to Ensure Safe and Trustworthy AI OpenAI has released a preliminary overview of the EU AI Act, recognizing it as a critical regulatory framework for AI development, deployment, and usage across Europe. The Act emphasizes safety and the protection of health, safety, and fundamental rights, aligning with OpenAI’s mission to develop and deploy safe AI for humanity's benefit. Committed to compliance, OpenAI is engaging in various technical efforts, such as model evaluations under its Preparedness Framework, internal and external red-teaming, post-deployment monitoring, and participation in Bug Bounty and Cybersecurity Grant Programs. These initiatives aim to enhance the security and safety of AI models. OpenAI will collaborate closely with the EU AI Office and other authorities, providing expertise and preparing technical documentation for downstream providers to support the Act’s implementation and objectives. #AIAct#OpenAI#AICompliance#AIGovernance#AIRegulation

AI & Law

@ai_and_law · Post #655 · 11.09.2025 г., 07:04

🇺🇸FTC Targets Workado for Misleading AI Accuracy Claims The U.S. Federal Trade Commission has taken action against AI company Workado for allegedly making false and unsupported claims about its AI Content Detector. Workado advertised its tool as being 98% accurate in identifying whether text was generated by AI or written by a human. Independent testing revealed a stark contrast: the tool achieved only 53% accuracy on general-purpose content, far below the company's claims. The FTC's order underscores growing regulatory attention on transparency and accountability in AI marketing practices. #AIRegulation#FTC#AICompliance#AIEthics

AI & Law

@ai_and_law · Post #286 · 16.04.2024 г., 07:04

US Federal Agencies Issue Joint Statement on Automated Systems On April 3, 2024, several US federal agencies released a joint statement on the Enforcement of Civil Rights, Fair Competition, Consumer Protection, and Equal Opportunity Laws in Automated Systems. Signatories include leaders from the EEOC, Consumer Financial Protection Bureau, Department of Justice, Federal Trade Commission, Department of Education, Department of Health and Human Services, Department of Homeland Security, Department of Housing and Urban Development, and Department of Labor. The statement underscores the commitment of federal agencies to enforce legal protections applicable to automated systems, defined as software and algorithmic processes, including AI, used to automate workflows and decision-making. Emphasizing the dual objectives of monitoring automated tools' evolution and fostering responsible innovation, agencies reaffirm the relevance of existing laws to automated systems. They stress their role in ensuring compliance with these laws during system development. This follows previous efforts by the EEOC and other agencies to address discrimination and bias in automated systems. The expanded participation in this year's statement reflects the government's heightened focus on regulating automated systems and enforcing relevant laws. The statement emphasizes that AI and automated systems fall under existing laws, dispelling the notion that their "black box" nature exempts them from compliance. It identifies potential sources of unlawful discrimination or bias, including skewed training data, lack of transparency, and inadequate consideration of social context during design and use. Compliance with existing and AI-specific laws is paramount for fostering trust and safe AI innovation, as highlighted in the joint statement. #automatedsystems#AI#AIcompliance

AI & Law

@ai_and_law · Post #581 · 30.05.2025 г., 07:04

🇪🇺AI Literacy Is Now a Legal Requirement in the EU: How it Works? As of February 2, 2025, Article 4 of the EU AI Act is in force—and with it, a new legal obligation: AI literacy is no longer optional. Providers and deployers of AI systems must ensure that their personnel, and anyone handling AI systems on their behalf, have sufficient understanding of how these systems function, what risks they carry, and how they interact with the people affected by them. The European AI Office has just released detailed Q&A guidance to clarify what this means in practice. It addresses the definition of “AI literacy,” how to assess adequate knowledge levels based on staff education, experience, and use context, and how enforcement will be handled. This is a significant compliance shift—especially for companies deploying AI in sensitive sectors. Training and governance functions will now need to be legally auditable. #AIAct#AILiteracy#AICompliance#AIGovernance

AI & Law

@ai_and_law · Post #401 · 20.09.2024 г., 07:04

China Tightens Control Over AI-Generated Content China's Cyberspace Administration has introduced a draft regulation that will require digital platforms to clearly label all AI-generated content. This new regime would mandate visible logos and metadata embedded in texts, images, videos, and audio files created by AI. In some cases, audio content must include voice prompts identifying AI-generation, while videos would display notifications at key points. The proposed rules aim to tighten control over AI-generated material by ensuring accountability. Platforms will also be required to analyze and label any suspicious content that lacks metadata. This move underscores China’s broader vision for stringent regulation of AI technologies and user-generated content, with significant penalties for non-compliance. #AIRegulation#AICompliance#ChinaTech#AIGovernance

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