Posts Tagged ‘Generative AI’
Findability in the Age of AI Starts with a Strong Taxonomy
Artificial intelligence (AI) can search vast collections of information in seconds, interpret natural language and surface connections people might otherwise miss. But even the smartest AI tools can struggle when an organization’s information is inconsistent, poorly described or difficult to access. This interesting topic came from Hedden Information Management in their article, “Generative AI and…
Read MoreAI Needs Better Data. Better Data Needs Governance.
Artificial intelligence (AI) can draft reports, identify patterns, predict demand and answer questions in seconds. But speed and sophistication cannot compensate for unreliable information. Feed an AI system outdated records, inconsistent definitions or incomplete data, and the results can be impressively wrong. Before organizations invest in smarter technology, they need to establish whether their data…
Read MoreGenerative AI: Same Technology, Different Alarm Bells
My news feed recently delivered a perfect illustration of our relationship with generative artificial intelligence (GenAI): one headline announcing a school moratorium, immediately followed by another celebrating a major media partnership. Apparently, even the algorithm enjoys irony. New York City announced a one-year moratorium on student-facing GenAI from 2-K through eighth grade, while retaining exceptions,…
Read MoreGenerative AI in Gaming
Generative artificial intelligence has entered the gaming industry like a mysterious treasure chest: potentially useful, occasionally alarming and probably worth checking for traps. On the plus side, it helps developers brainstorm ideas, write code and build prototypes. GDC’s 2026 industry survey found that 36% of respondents used generative AI at work, with research and brainstorming…
Read MoreArtificial Intelligence, Artificial Thought and Real Expertise
Artificial intelligence (AI) can draft an article, analyze data and produce an answer before we finish our coffee. But generating something that sounds thoughtful does not automatically make it accurate, meaningful or even wise. The Scholarly Kitchen brought this topic to our attention in their article, “The Representation Is Not the Scholarship.” “Artificial thought” is…
Read MoreWhy Ontology Matters More Than Ever
Artificial intelligence (AI) can write reports, summarize meetings and answer questions with impressive confidence. What it cannot reliably do on its own is determine exactly what your organization means by every word it uses. When “partner” means five different things across three departments, even sophisticated AI has a problem. It may simply deliver that problem…
Read MoreAuthenticity, Influence and Faith in the Age of AI
Pope Leo XIV’s appeal to protect human art raises a question that reaches beyond museums: What makes an expression authentic? Tech Crunch brought this interesting news to our attention in their article, “Pope Leo XIV is not a fan of AI-generated art.“ That distinction invites reflection on the relationship between creation and experience. A painting…
Read MoreIt’s Probably Your Data
When an artificial intelligence (AI) initiative underperforms, the model is often the first thing blamed. Maybe the algorithm isn’t sophisticated enough. Maybe the platform is wrong. Maybe the organization needs a newer, more powerful model. This interesting and important topic came to us from CIO in their article, “Your AI model isn’t the problem. Your…
Read MoreAI and Unstructured Data: Finding Meaning in the Mess
Organizations have never lacked data. The bigger problem has been figuring out what to do with all of it, especially the information that doesn’t fit neatly into rows and columns. This interesting and important topic came to us from CDO Magazine in their article, “Why AI Changes Unstructured Data: Data X-Ray’s Kyle DuPont on Metadata…
Read MorePeer Review in the Age of AI: Is It Time for an Upgrade?
For generations, peer review has been a cornerstone of scholarly publishing. Before research enters the academic record, experts evaluate its methodology, evidence, originality and conclusions. The system is imperfect, but its purpose remains essential: protecting the credibility and integrity of scholarship. The Scholarly Kitchen brought this interesting topic to our attention in their article,”Guest Post…
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