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Stories of Facilitating Software Architecture & Design Archive - Virtual Domain-Driven Design by Organisers @virtualddd | Mar 3, 2026

Link to the stories as blog/vlog/podcast: buff.ly/ZH2jWIJ

#SoftwareArchitecture #FacilitatingSoftwareArchitecture #CollaborativeSoftwareDesign #SociotechnicalSystems #SFSAD #VirtualDDD

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AI doesn’t threaten skilled work. We are approaching an Artificial Superintelligence future where AI is changing the fundamental GDP model for increased productivity.

#SociotechnicalSystems
#ITInfrastructure
#Sustainability
#ArtificialSuperintelligence
#ASI

x.com/wesroth/stat...

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Understanding Sociotechnical Systems in AI: A Complete Guide for Americans Understanding Sociotechnical Systems in AI: A Complete Guide for Americans January 2, 2026 Sociotechnical systems integrate technology, people, and institutions into a cohesive framework Table of Contents * What Are Sociotechnical Systems? * Why AI Systems Are Different * Key Components of AI Sociotechnical Systems * Real-World Impact in America * Governance and Ethics * Frequently Asked Questions As artificial intelligence becomes deeply embedded in American society, understanding sociotechnical systems in AI is more critical than ever. These systems represent the intersection where technology meets society—a complex framework that shapes how AI impacts our daily lives, from healthcare to finance, education to transportation. What Are Sociotechnical Systems in AI? A sociotechnical system is a framework where social and technical elements are intertwined. In the context of AI, this means recognizing that artificial intelligence doesn't operate in isolation. Instead, AI systems function within complex networks of human behavior, organizational structures, cultural norms, and institutional rules. Effective AI implementation requires seamless human-AI collaboration According to recent EU-U.S. terminology guidelines, AI's sociotechnical nature is now considered an integral attribute of these systems. This perspective acknowledges that understanding AI requires examining diverse social, political, economic, cultural, and technological factors working together. Why AI Systems Are Different From Traditional Technology AI systems represent a fundamental shift in how we conceptualize technology. Unlike traditional tools that require direct human operation, AI systems possess three distinctive characteristics: * Autonomy: AI can make decisions and take actions without constant human intervention * Interactivity: These systems continuously engage with their environment and users * Adaptivity: AI learns from experience and modifies its behavior accordingly These capabilities mean that AI systems don't just execute predefined tasks—they evolve within their sociotechnical environments, potentially transforming the very systems they inhabit. The Three Building Blocks of AI Sociotechnical Systems 1. Technical Elements The technical foundation includes algorithms, data processing infrastructure, machine learning models, and computational resources. However, in a sociotechnical framework, these elements cannot be evaluated in isolation from their operational context. The sociotechnical loop emphasizes continuous interaction between technology and society 2. Human Agents People remain at the center of sociotechnical systems. This includes developers who create AI, operators who deploy it, users who interact with it, and communities affected by it. Each group brings unique perspectives, needs, and cultural contexts to the system. 3. Institutional Frameworks Institutions—both formal and informal—shape how AI systems operate. These include legal regulations, organizational policies, industry standards, ethical guidelines, and even unwritten cultural norms. In the United States, institutions like the FDA for medical AI or state-level privacy laws significantly influence AI deployment. Real-World Impact: How Sociotechnical Systems Affect Americans Healthcare AI Consider an AI diagnostic tool used in American hospitals. The algorithm's accuracy (technical element) is just one factor. Equally important are physician trust and willingness to follow AI recommendations (human element), hospital protocols for AI-assisted decisions, insurance reimbursement policies, and liability frameworks (institutional elements). Financial Services AI-powered credit scoring systems demonstrate the sociotechnical complexity. While the algorithm processes data, its real-world fairness depends on training data quality, regulatory compliance with fair lending laws, consumer ability to contest decisions, and broader societal patterns of economic inequality. Effective AI governance requires balancing innovation with ethical responsibility Education Technology AI tutoring systems operate within sociotechnical contexts that include student learning styles, teacher pedagogical approaches, school district policies, parental involvement, and cultural attitudes toward technology in education. Why Sociotechnical Thinking Matters for AI Governance A sociotechnical perspective transforms how America approaches AI regulation and policy. Rather than focusing solely on technical specifications, this framework encourages policymakers to consider: * Contextual Fairness: Understanding that fairness metrics must align with specific social contexts and values * System-Level Accountability: Recognizing that responsibility extends beyond developers to include deployers, users, and institutions * Cultural Sensitivity: Acknowledging that AI systems reflect and reinforce cultural assumptions embedded in training data * Democratic Participation: Ensuring diverse stakeholder voices shape AI development and deployment decisions Recent surveys show that 84% of American decision-makers now consider sociotechnical perspectives critical for responsible AI implementation. This shift reflects growing awareness that technical excellence alone cannot guarantee beneficial outcomes. Organizations must adopt sociotechnical frameworks to rise successfully with AI technology Designing Better AI Systems The sociotechnical approach has profound implications for AI design. Instead of optimizing algorithms in isolation, designers must consider how their systems will function within existing social structures. This might mean designing AI that supports human expertise rather than replacing human judgment, creating interfaces that foster appropriate trust, and building in mechanisms for contestability and human oversight. The Future of Sociotechnical AI in America As AI becomes more sophisticated and widespread, the sociotechnical perspective will only grow in importance. Future developments will likely include: * Regulatory frameworks explicitly incorporating sociotechnical principles * Professional standards for sociotechnical AI design * Educational programs training the next generation of AI professionals in systems thinking * Public participation mechanisms ensuring democratic input into AI governance Understanding AI as a sociotechnical system isn't just an academic exercise—it's essential for creating AI that genuinely serves American society's diverse needs and values. Frequently Asked Questions What does sociotechnical mean in AI? Sociotechnical in AI refers to the recognition that artificial intelligence systems are not purely technical but exist within complex networks of social, cultural, institutional, and human elements. The performance and impact of AI depend on this entire ecosystem, not just the technology itself. Why can't we just focus on making better AI algorithms? Better algorithms are important, but they don't guarantee beneficial outcomes. An AI system might be technically excellent yet still fail due to user mistrust, institutional barriers, cultural misalignment, or inadequate legal frameworks. Sociotechnical thinking addresses these broader factors. How does the sociotechnical approach improve AI fairness? The sociotechnical approach recognizes that fairness isn't just about mathematical metrics—it depends on social context, stakeholder values, power dynamics, and institutional practices. This perspective helps designers create AI systems that are fair in practice, not just in theory. What role do institutions play in AI sociotechnical systems? Institutions provide the rules, norms, and structures that govern how AI operates. This includes laws and regulations, organizational policies, professional standards, and cultural expectations. These institutional elements shape everything from AI development priorities to accountability mechanisms. How can Americans participate in shaping AI sociotechnical systems? Americans can engage through public comment on AI regulations, participating in community discussions about AI deployment, supporting advocacy organizations focused on responsible AI, and demanding transparency and accountability from organizations deploying AI systems in their communities. Found this guide helpful? Share this article with colleagues, friends, and policymakers who need to understand how AI truly functions in society. Together, we can build a more informed approach to artificial intelligence in America. 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Visit our website for more articles: https://www.proainews.com

Understanding Sociotechnical Systems in AI: A Complete Guide for Americans #AI #SociotechnicalSystems #ArtificialIntelligence #TechEthics #Innovation

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Subscribe to IT is Future Now. to get the latest in IT Infrastructure and Socio-Technical Systems. #Socio-TechnicalSystems #SocioTechnicalSystems

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Introducing #HolisticEngineering ⇨ the practice of designing technology by understanding and shaping all the intrinsic parts of the organic system.

A holistic approach views projects as Organic #SocioTechnicalSystems, influenced by:
⇨ External forces
⇨ Internal forces

🔗 bit.ly/4rlh30u

#InfoQ

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Everything you ever wanted to know about anarchy (but were afraid to ask) - Andrew Harmel-Law “Patterns of Anarchy” is a collection of writings published in 1966. We should care about it as software professionals because a) Christopher Alexander quotes from it in “A Pattern Language” and b)…

We scheduled a new session with Andrew Harmel-Law on anarchist thought & socio-technical design. A look at alternatives to top-down hierarchy for building better teams.

📅 23 Sept at 19:00 NZST

#DDD #SocioTechnical
buff.ly/Bmvoiwe

#DomainDrivenDesign #SocioTechnicalSystems #SoftwareArchitecture

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Beyond Benchmarks: Towards Robust Artificial Intelligence Bone Segmentation in Socio-Technical Systems
Alves, Berge, S. et al.
Paper
Details
#RobustAI #BoneSegmentation #SocioTechnicalSystems

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Military AI as Sociotechnical Systems - Lieber Institute West Point Conceptualizing weapons as sociotechnical systems enables us to focus on risks arising with any incorporation of AI into the use of a weapon.

A #sociotechnicalsystems approach has been applied to the use of #AI in various settings, but can be especially valuable in the #military context, argues Mitt Regan. lieber.westpoint.edu/military-ai-...

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Seeing Sociotechnical Systems with Michael Feathers
Seeing Sociotechnical Systems with Michael Feathers YouTube video by Mob Mentality Show

Ready to see the big picture? 🧐 Michael Feathers joins Mob Mentality Show to discuss sociotechnical systems & how they impact software development.

➡️ Watch now: www.youtube.com/watch?v=AC4Z...

#SociotechnicalSystems #SoftwareDevelopment #Teamwork #Collaboration #MichaelFeathers #MobMentalityShow

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An Intelligent Sociotechnical Systems (iSTS) Framework

An Intelligent Sociotechnical Systems (iSTS) Framework

Temporarily available for download without subscription:
doi.org/10.1109/TTS....
#IEEE #IEEE-TTS #sociotechnicalsystems #iSTS #ai #hHCAI

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AI, Science and Society Conference - AI ACTION SUMMIT - DAY 1
AI, Science and Society Conference - AI ACTION SUMMIT - DAY 1 YouTube video by IP Paris

#ai #sts #sociotechnicalsystems

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Cognitive machines: a sociotechnical taxonomy

Cognitive machines: a sociotechnical taxonomy

My IEEE article with Sophie Albuquerque on cognitive machines: a sociotechnical taxonomy has been highlighted in the last IEEE TechEthics Bulletin: techethics.ieee.org
#cognitivemachines #sociotehcnicaltaxonomy #sociotechnicalsystems #cybernetics #EconSky #occupationalscience #sts #philtech #ethics

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Jonathan Boymal on LinkedIn: We often forget that knowledge has always been collaborative and deeply… We often forget that knowledge has always been collaborative and deeply entangled with our tools. Have you ever stopped to think about how a toilet works? Or…

Excellent, essential complementary insights to humans' occupational nature.

#cognition #technology #occupationalscience #sociotechnicalsystems #sts

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Anton Korinek on AI Scaling Laws and Market Structure
Anton Korinek on AI Scaling Laws and Market Structure YouTube video by Markus' Academy

Korinek is in my opinion the economist doing the most useful work on #AI. I disagree with many mainstream (neoclassical) assumptions, which I believe invalidate some conclusions, but, in spite of it, it's still excellent and informative.
#economics #scalinglaws #sociotechnicalsystems #sts #econsky

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How couples meet in the US

How couples meet in the US

As we explore in our recent research, the effects of technological disruptions go much beyond jobs and the economy. A good example in this graph.

#economicism #transdisciplinarity #technologicaldisruptions #cognitivemachines #sts #philtech #sts #sociotechnicalsystems

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The Inside Story of Google’s Quiet Nuclear Quest For a decade, Google Research has helped advance nuclear energy R&D

Corporations have undoubtedly become the triple helix masters in the neoliberal era.

@ieeespectrum.bsky.social #ieee #nuclearenergy #triplehelix #sociotechnicalsystems

spectrum.ieee.org/google-nucle...

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"Liberal democratic states make citizens. The artificial state make trolls."

#cybernetics #technologicaldisruptions #sociotechnicalsystems

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#IFSA2024 It's almost time for the 15th International Farming System Association Conference

📌 On Monday 1 July, Intissar Ferchichi and I will co-chair a #SpecialSession about #Mediterranean #SocioTechnicalSystems

📗Full programme
ifsa2024.crea.gov.it/conference-i...

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Cover TATuP Vol. 33 No. 1 (2024): AI for decision support: What are possible futures, social impacts, regulatory options, ethical conundrums and agency constellations?

Cover TATuP Vol. 33 No. 1 (2024): AI for decision support: What are possible futures, social impacts, regulatory options, ethical conundrums and agency constellations?

Lesetipp: Neue #TATuP zum Thema "KI zur Entscheidungsunterstützung".

Alle Artikel #openaccess auf
➡️ www.tatup.de/index.php/ta...
Hrsg. von @itas.bsky.social @kitkarlsruhe.bsky.social im @oekom.bsky.social
#technologyassessment #artificialintelligence #ai #decisionsupport #sociotechnicalsystems

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I am grateful to all who attended my "Intentional Architecture" talk at FlowCon France. Your presence, questions, and interactions made it a fantastic experience.

You can find the slides here: speakerdeck.com/joaoasrosa/i...

#IntentionalArchitecture #OpenSystems #SociotechnicalSystems #FlowCon

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Sociotechnical system - Wikipedia

#SocioTechnicalSystems

https://en.m.wikipedia.org/wiki/Sociotechnical_system

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