Всё начиналось с библиотеки six, что означает цифру 6 и является результатом умножения 2*3 (напомню что six это библиотека для написания кода одновременно совместимого для Python 2 и 3).
Но как обычно всегда найдется тот, кому не всё понравится и он напишет свой вариант) В итоге получаем небольшой ряд "числовых" библиотек примерно для одного и того же
https://pypi.org/project/six/
https://pypi.org/project/eight/
https://pypi.org/project/nine/
Выглядит забавно. Я решил проверить, есть ли другие библиотеки с числом в названии, хотя бы до 20. И вот что нашлось:
https://pypi.org/project/one/
https://pypi.org/project/two/
https://pypi.org/project/three/
four - свободно
https://pypi.org/project/five/
https://pypi.org/project/six/
https://pypi.org/project/seven/
https://pypi.org/project/eight/
https://pypi.org/project/nine/
ten - свободно
https://pypi.org/project/eleven/
https://pypi.org/project/twelve/
thirteen - свободно
fourteen - свободно
fifteen - свободно
https://pypi.org/project/sixteen/
seventeen - свободно
nineteen - свободно
twenty - свободно
Назначения у этих проектов, конечно, разные. Есть и заброшенные и популярные. Но места еще есть 😊 Занимаем пока свободно!
PS.
Всех уделал Em Fresh со своей линейкой Python-альбомов😁 (жмакнуть show more)
PPS. Всех читательниц моего канала поздравляю с праздником 🌼🥳💐
#offtop#libs#2to3
📖AI Risk Management Enters the Advertising Mainstream
The Interactive Advertising Bureau (IAB) has introduced its AI Governance and Risk Management Playbook to address the legal and ethical challenges AI brings to advertising. The document serves as a structured guide for brands, agencies, and publishers, focusing on practical AI use cases in marketing while outlining essential tools for risk assessment and mitigation.
By targeting the advertising sector specifically, the IAB is signaling that AI governance is no longer an abstract compliance topic but a business necessity. The playbook integrates regulatory awareness with operational guidance, giving industry stakeholders a framework to adopt AI responsibly without losing sight of legal exposure and consumer trust.
#AIGovernance#RiskManagement
🇺🇿Biznes va tadbirkorlik oliy maktabida “ISO 31000:2018 – Xavflarni boshqarish standartini joriy etish” mavzusida5 kunlik o‘quv kursi tashkil etildi
Biznes va tadbirkorlik oliy maktabi, “UzAssets” aksiyadorlik jamiyati, “O‘ztransgaz” aksiyadorlik jamiyati va “TÜV Austria”ning O‘zbekistondagi rasmiy hamkori, menejment tizimlarini sertifikatlash organi “CAC” hamkorligida “ISO 31000:2018 - Xavflarni boshqarish standartini joriy etish” mavzusida 5 kunlik o‘quv kursi bo‘lib o‘tdi.
Tadbirni, Biznes va tadbirkorlik oliy maktabi direktorining o‘rinbosari Xolbayev Baxrom Avazbayevich kirish so‘zi bilan ochib, kursning ahamiyati va ishtirokchilar uchun berishi mumkin bo‘lgan amaliy foydalari haqida so‘zlab berdi. O‘quv kurs ishtirokchilariga zamonaviy metod va yondashuvlarni amaliyotga joriy etish imkoni, shuningdek xavflarni tizimli ravishda aniqlash, baholash va boshqarish ko‘nikmalarini rivojlantirishga yordam berishi takidlab o‘tildi.
O‘quv kursini “TÜV Austria” xalqaro eksperti Farzaliev Zaur Qurbon o‘g‘li olib bordi. O‘quv kursi davomida ishtirokchilar ISO 31000:2018 xalqaro standartining asosiy tamoyillari, xavflarni aniqlash va baholash usullari, shuningdek ularni korporativ boshqaruv va ichki nazorat tizimlariga integratsiya qilishning amaliy jihatlari bilan tanishdilar.
Kurs davomida ishtirokchilar turli amaliyot misollari (case-study) orqali xavflarni baholash va boshqarish jarayonlarini amaliyotda qo‘llash ko‘nikmalarini mustahkamladilar. Shuningdek, ishtirokchilar savol-javob sessiyalarida faol ishtirok etdilar va sohaviy muammolarni hal qilish bo‘yicha mutaxassislardan batafsil tavsiyalar oldilar.
Mazkur o‘quv kursi davlat ishtirokidagi korxonalarda xavflarni boshqarish tizimlarini takomillashtirish, xalqaro standartlarni amaliyotga joriy qilish hamda boshqaruv kadrlarining kasbiy salohiyatini oshirishga qaratilgan muhim amaliy tadbir bo‘ldi.
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Davlat organlarida ichki nazorat tizimi va xavflarni boshqarish mavzusida mahorat darsi tashkil etildi
🇺🇿 Biznes va tadbirkorlik oliy maktabida magistratura mutaxassisliklari (MBA-Moliyа va Global menejment) tinglovchilari uchun “Davlat organlarida ichki nazorat tizimi va xavflarni boshqarish” mavzusida mahorat darsi bo‘lib o‘tdi.
Tadbirda iqtisofiyot fanlar doktori (DCs) Jabborov Azamat Alijonovich - Oʻzbekiston Respublikasi Iqtisodiyot va moliya vazirligining Davlat organlari ichki audit tuzilmalari faoliyatini rivojlantirish va muvofiqlashtirish boshqarmasi boshligʻi ma’ruzachi sifatida ishtirok etdi.
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📣Hurmatli professor-o‘qituvchilar, tinglovchilar va mehmonlar!
Sizlarni “Davlat organlarida ichki nazorat tizimi va xavflarni boshqarish” mavzusida mahorat darsiga taklif etamiz.
Mahorat darsida quyidagilarga alohida eʻtibor qaratiladi:
- ilgʻor xalqaro tajribada ichki nazorat tizimi;
- ichki nazorat komponentlari va tamoyillari;
- davlat organlarida xavflarni boshqarishning zaruriyati va ahamiyati;
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-davlat organlarida ichki nazorat tizimi va xavflarni boshqarish samaradorligini oshirish yoʻnalishlari.
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📍Manzil: Biznes va tadbirkorlik oliy maktabi. Toshkent shahri, Mirobod tumani, Mirobod koʻchasi, 25-uy. (5-qavat, 4-auditoriya)
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📖The International AI Safety Report Updated
The second update of the International AI Safety Report offers a clear message for both policymakers and industry leaders: current AI risk controls are advancing, but they remain uneven and vulnerable. The report highlights that governments, researchers, and private organizations are actively deploying responsible AI mechanisms, yet these safeguards can be bypassed by sophisticated actors and often perform inconsistently across real-world environments.
The report’s findings reinforce the need for continuous evaluation, cross-sector coordination, and a more disciplined alignment between safety intentions and deployment realities.
#AISafety#AIRegulation#Governance#RiskManagement
Bridging the AI Governance Gap: A Call to Action for Business Leaders
A recent report from Prove AI and Zogby Analytics highlights a critical gap in AI governance: 95% of companies have not yet implemented frameworks to manage AI risk effectively. This comes despite the fact that 96% of over 600 surveyed CEOs, CIOs, and CTOs from the US, UK, and Germany are already leveraging AI in their operations and plan to increase their AI budgets in the coming year. The top motivations include boosting productivity (82%) and operational efficiency (73%), yet data integrity and security concerns remain a significant barrier to broader adoption.
While business leaders acknowledge the strategic value of AI, they also understand the risks. The report reveals that 82% consider AI governance a pressing priority, with most aiming for implementation by summer 2025. The urgency is further driven by the evolving global AI regulatory landscape, such as the EU AI Act. Prove AI’s CEO, Mrinal Manohar, emphasizes that “the long-term efficacy of AI investments hinges on developing comprehensive AI governance strategies.”
The findings stress the importance of closing the governance gap. As companies ramp up their AI deployments, establishing clear frameworks will be essential for managing risks and ensuring responsible, sustainable growth.
#AI#Governance#RiskManagement#AICompliance
🌐📖OECD Issues Due Diligence Framework for Responsible AI
The Organisation for Economic Co-operation and Development has released a Due Diligence Guidance for Responsible AI report aimed at enterprises implementing the OECD standards on responsible business conduct and the OECD AI Principles. The guidance is designed to help companies proactively address adverse impacts arising from their deployed AI systems while supporting innovation, investment, and growth.
Beyond corporate compliance, the report positions due diligence as a governance mechanism to align technological deployment with risk accountability. It also seeks to promote policy coherence and, where possible, interoperability between OECD approaches and other national or international AI risk management frameworks.
#AIRegulation#ResponsibleAI#OECD#AIGovernance#RiskManagement#AIEthics
📖Agentic AI Risk Controls Highlighted in New CLTC Report
The Center for Long-Term Cybersecurity at University of California, Berkeley released a report on risk management tools for AI systems, emphasizing the need to assess agentic AI based on its autonomy and operational complexity. The analysis notes that platforms range from narrowly scoped single-agent systems to highly autonomous multi-agent architectures, requiring proportionate risk controls aligned with these characteristics.
A companion paper by the Center’s Artificial Intelligence Security Initiative examines “AI agents” capable of pursuing goals and taking actions with minimal human oversight through interaction with external environments and tools. The authors outline practices for identifying, analyzing, and mitigating risks specific to agentic AI, warning that increased autonomy introduces risks such as unintended goal pursuit, unauthorized privilege escalation, resource acquisition, self-replication, resistance to shutdown, and potential systemic harm.
#AIRegulation#AIGovernance#RiskManagement#AgenticAI#Cybersecurity
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🇬🇧UK DSIT Warns Businesses on AI Cybersecurity Risks
The UK Department for Science, Innovation and Technology (DSIT) issued an open letter warning businesses about the growing availability of AI models with cybersecurity vulnerability detection capabilities. The department stated that such systems create new risk exposures for organizations as these tools become more accessible.
DSIT referenced releases by Anthropic and OpenAI, as well as subsequent reviews by the AI Security Institute. The department noted that the UK “is not standing still in response to this threat,” but emphasized that government action alone will be insufficient. Business leaders were urged to adopt preventive measures to stay ahead of emerging model capabilities.
#AIRegulation#Cybersecurity#AISafety#UKpolicy#RiskManagement
NYDFS Issues Guidance on AI-Related Cybersecurity Risks
The New York Department of Financial Services (NYDFS) released guidance highlighting the rising cybersecurity risks associated with the use of artificial intelligence by its licensees, including insurers and virtual currency businesses. The guidance focuses on threats such as AI-enabled social engineering, where deepfakes and other AI tools are used to obtain sensitive information and bypass biometric security measures.
It also addresses the growing concern over AI-enhanced cyberattacks that increase the potency, scale, and speed of threats, as well as the risk of exposure or theft of vast amounts of nonpublic data. The guidance emphasizes the critical need for organizations to integrate AI-specific considerations into their existing risk assessments, third-party vendor management, and data management practices.
While the NYDFS guidance is aimed at businesses under its regulation, the outlined risks and mitigation strategies are applicable to any organization navigating the complexities of AI-related cybersecurity. With the proliferation of AI technology, businesses must prioritize not only the protection of personally identifiable information but also safeguard confidential business information like trade secrets, which can have a more significant impact if compromised. The guidance reinforces the importance of robust due diligence when working with third-party vendors that use or provide AI solutions, as well as the necessity of maintaining effective data inventory and minimization practices.
#Cybersecurity#AICompliance#NYDFS#RiskManagement#AIRegulation
❗️AI Becomes #2 Global Business Risk in Allianz Risk Barometer 2026
According to the 2026 report by Allianz, artificial intelligence has risen to #2 among global business risks, up from #10 in 2025. This is the largest increase recorded in the ranking’s history. AI is now ranked #2 in the Americas, Asia Pacific, and Africa and the Middle East, and #3 in Europe, placing it among the top three risks for companies of all sizes.
The report links this rapid rise to both the risks associated with AI systems and their broader societal, political, and economic implications. Since the launch of ChatGPT in 2022, AI deployment and automation have expanded significantly, with further applications in development.
AI risk is also closely connected to other major categories, including cybersecurity (the top-ranked risk) as well as political risks, macroeconomic developments, and regulatory changes.
#AIrisk#AIGovernance#AIRegulation#Cybersecurity#TechPolicy#RiskManagement