Digital Curation Authority

This cluster tracks how institutions are racing to make AI accountable, secure, and trustworthy through new governance frameworks, audit standards, and infrastructure controls. Industry groups and regulators are updating IT audit models, operationalizing sector-specific AI governance (like FINOS), and launching alliances for digital trust and digital sovereignty. At the same time, organizations are tightening risk management for tools like Copilot, exploring human oversight for agentic AI, and confronting threats such as deepfake-driven fraud. Underneath it all is a broader debate about how AI reshapes power among governments, companies, civil society, and individuals—and what evidence-based governance looks like in practice.

This cluster tracks how museums, artists, and cultural institutions are reimagining art for a digital, data-driven era. From digital placemaking in modern museums to MASS MoCA’s “Technologies of Relation,” creators are exploring how technology changes how we gather, feel, and connect. The Harlem Fine Arts Show foregrounds “Art for Technology,” while research on “machine biographies” examines predictive identities and digital human twins. Together, these pieces highlight a shift from static collections to interactive, speculative spaces where culture, code, and community collide.

This cluster explores how AI—especially agents and generative tools—is rapidly transforming creative, design, and knowledge work, from UX and industrial design to enterprise analysis. It spans macro forecasts about AI crossing the frontier of human knowledge and the looming “AI cliff,” to practical topics like responsible AI UX, hybrid human–machine intelligence, building custom agent skills, and deploying agents safely inside engineering systems. Comparative research on designers in China and the UK, startup funding for agent infrastructure, and debates over which uniquely human capabilities AI cannot replace all converge on one question: where and how humans create value in an AI-saturated workplace.

This cluster explores how AI is transforming knowledge management from multiple angles: enterprise RAG systems, digital preservation, and personal note-taking workflows. It highlights tools like Authority Engine and GitNexus, advanced RAG evaluation for production knowledge systems, and KM perspectives on preparing for agentic AI. The posts also examine a shift toward self-hosted, privacy-preserving tools such as SilverBullet and frameworks from the Digital Preservation Coalition and Preservica. Together they show a move from static document storage to dynamic, AI-augmented knowledge ecosystems that organizations and individuals must now learn to design, govern, and trust.

This cluster tracks how control over what we see, read, and hear is shifting between human curators and algorithmic systems. From theoretical models of ‘apt curation’ in education to new digital libraries, catalogs, and AI-music platforms, institutions and creators are redesigning how cultural and scholarly content is selected and surfaced. At the same time, podcasts and commentary probe the authority of recommendation algorithms that increasingly mediate our access to knowledge and art. Together, these pieces highlight a struggle over expertise, transparency, and trust in the age of platform-driven discovery.

This cluster explores how digital platforms shape what we can know and trust, from Wikipedia and search engines allegedly distorting sensitive topics to Google sunsetting products that users relied on. It covers efforts to manage misinformation in large language models, strengthen researcher identity via ORCID, and uphold editorial standards as a way to retain reader confidence. Other pieces highlight anxieties over bots, censorship, and viral social accounts, and argue for reclaiming a more human-centered, accountable digital commons. Together, they trace a broader struggle to rebuild authenticity and reliability in an ecosystem dominated by powerful intermediaries.