Posts by Melody Smith
The Missing Ingredient in the Race to AI
The race to artificial intelligence (AI) is often framed as a competition for faster models, bigger computing environments and more sophisticated algorithms. Organizations invest in machine learning platforms, large language models (LLMs) and automation tools, hoping to gain some advantage. Yet, one critical factor is often overlooked: data accountability. AI systems are only as trustworthy…
Read MoreAgentic AI and the Technologies Powering Its Future
Artificial intelligence (AI) is entering a new phase with the rise of agentic AI – systems capable of acting autonomously to achieve goals rather than simply responding to prompts. Unlike traditional AI models that wait for instructions, AI agents can plan tasks, make decisions, gather information and execute actions with minimal human intervention. This shift…
Read MoreResearch and Originality
Research is literally the foundation of scholarly communication. Every article, book chapter and conference paper builds upon the work of those who came before it. Yet this reliance on existing knowledge creates a delicate balance between legitimate research and plagiarism. Understanding where that line exists is essential for maintaining academic integrity. This interesting information came…
Read MoreQuality is Key for Responsible AI
Generative artificial intelligence (GenAI) is a subset of artificial intelligence (AI). It has moved quickly from experimentation to everyday use, reshaping how organizations create, analyze and communicate. At the center of this shift is data. The quality and oversight of that data now directly influence how reliable and responsible AI outputs can be. This makes…
Read MoreChasing Fairness in the Age of AI
Artificial intelligence (AI) and machine learning have transformed the modern world at an astonishing pace. They help doctors identify diseases earlier, enable businesses to operate more efficiently and make information more accessible than ever before. From personalized recommendations to scientific breakthroughs, these technologies offer enormous potential to improve lives and solve complex problems. This interesting…
Read MoreSemantic Search and the Preservation of Scholarly Intent
For decades, academic publishing has focused on creating authoritative, peer-reviewed content designed to advance knowledge. Yet, as discovery increasingly depends on artificial intelligence (AI) and semantic search systems, a new challenge has emerged: ensuring that scholarly intent survives machine interpretation. Semantic search differs from traditional keyword search by attempting to understand meaning rather than simply…
Read MoreFrom Keywords to “Wait, How Did It Know What I Meant?”
Search used to be pretty simple. You typed in a few words, crossed your fingers and hoped the internet handed you something useful instead of a recipe blog, a conspiracy theory and a broken GeoCities page from 1998. The Scholarly Kitchen brought this topic to our attention in their article, “Keywords Are Not Dead —…
Read MoreData Integrity: The Quiet Backbone of Cybersecurity
Cybersecurity conversations often focus on hackers, ransomware and firewalls; however, one of the most critical pieces of the puzzle receives far less attention: data integrity. In simple terms, data integrity ensures that information remains accurate, consistent and trustworthy throughout its lifecycle. Without it, even the most advanced cybersecurity defenses begin to crack. Security Boulevard brought…
Read MoreThe Many Roads Into Technology Careers
For years, technology careers carried a very specific stereotype: computer science degree, hoodie, coding since age twelve and a straight-line journey into Silicon Valley. Reality has always been far messier and far more interesting. Towards Data Science brought this topic to us in their article, “A Career in Data Is Not Always a Straight Line,…
Read MoreStewarding Knowledge in the Age of AI
Artificial intelligence (AI) is transforming how information is created, distributed and consumed. Research summaries can be generated in seconds. Articles can be drafted almost instantly. Search engines increasingly rely on AI-generated responses instead of directing readers to original sources. In the middle of this rapid acceleration, academic publishing faces a defining challenge: protecting quality, rigor…
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