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When the Assistant Remembers: Ethical Use of AI Memory in Scientific Research

  When the Assistant Remembers: Ethical Use of AI Memory in Scientific Research Authors: Dr. David Graham, Graham Scientific, LLC Assisted by ChatGPT-4 with memory enabled (OpenAI) Disclosure: This article was co-written by a memory-enabled version of ChatGPT. The AI maintained a persistent understanding of Dr. Graham’s preferences, research topics, and prior sessions to ensure continuity and contextual depth. All factual assertions and ethical frameworks were reviewed and approved by the human author. I. Introduction What happens when your digital assistant starts remembering more than you do? In the ever-expanding universe of scientific research, continuity is everything. Complex projects unfold across months, sometimes years — and each task, from data wrangling to manuscript writing, demands context, history, and domain knowledge. Until recently, AI assistants have been powerful but forgetful tools, capable of answering questions and aiding analysis — but only within the confine...
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Harnessing AI in Scientific Consulting: 370+ Hours Saved and Counting

  Harnessing AI in Scientific Consulting: 370+ Hours Saved and Counting Author:  Dr. David Graham Posted on:  AI in Science Blog AI isn't just a tool — it's a force multiplier. Over the past year, I've integrated advanced AI (ChatGPT-4, now with persistent memory) into nearly every aspect of my scientific consulting workflow. As a former Director of a metabolomics center at Johns Hopkins and now CEO of Graham Scientific, I've worked across academic, clinical, and industrial research projects. The question I get most often is:  "Does AI really save you time?"  The answer, simply put, is yes — a lot of it. Here's a transparent breakdown of the estimated  time savings  we've experienced using AI for various core tasks: Time Saved by AI Collaboration (Conservative Estimates) Task Category Avg Time Saved # Uses Total Saved Literature Review 4.5 hrs 20 90 hrs Figure Generation 2.7 hrs 10 27 hrs Data Analysis & Coding 8.5 hrs 15 127.5 hrs Email / Grant Dr...
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Beyond Disclosure: A Response to ASM’s AI Guidelines and a Call for Methodological Standards

Beyond Disclosure: A Response to ASM’s AI Guidelines and a Call for Methodological Standards Author: David R. Graham, Graham Scientific, LLC Introduction: The Need for More Than Acknowledgment Artificial Intelligence (AI) is rapidly becoming part of the scientific research process — assisting with data analysis, hypothesis generation, and even scientific writing. In response to this emerging reality, the  American Society for Microbiology (ASM)  has offered important guidelines for AI use in scientific manuscripts, emphasizing the need to  maintain human authorship and accountability . These guidelines are an essential first step toward ensuring scientific integrity. However,  disclosure alone is not enough . As AI takes on increasingly sophisticated and relational roles in research,  the scientific community must develop methodological standards for how AI usage is tracked and reported  — not only to ensure transparency but to safeguard the trust and repr...
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An Example of How to Integrate AI into Your Excel Workflows

An Example of How to Integrate AI into Your Excel Workflows Posted on: March 11, 2025 — by David Raymond Graham, Graham Scientific, LLC, in collaboration with HAL (ChatGPT AI partner) Introduction: Why Integrate AI into Excel Workflows? Excel remains one of the most widely used tools in scientific research for data analysis, visualization, and reporting. But what if you could  seamlessly integrate AI  — like ChatGPT — to  automate data cleaning, generate standard curves, and calculate unknowns , all while  keeping the process transparent and reproducible ? In this post, I share a  real-world example of integrating AI into an Excel-based analytical workflow , using a set of biological assay data and step-by-step AI collaboration. The entire process is  documented with Python code embedded directly in the Google Sheet , making AI’s contribution fully transparent and reproducible. Step 1: Starting with Raw Instrument Data and Manual Calculations (Sheet: EXP1) ...
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Welcome to AI in Science: A New Vision for AI-Human Collaboration in Research

Welcome to AI in Science: A New Vision for AI-Human Collaboration in Research Author:  David Raymond Graham, Graham Scientific, LLC Why AI in Science — and Why Now? Artificial Intelligence (AI) is rapidly transforming every sector of society, but nowhere are the stakes higher — and the opportunities greater — than in  scientific research . From  biomedical data analysis  to  biomarker discovery ,  climate modeling , and  theoretical physics , AI offers the ability to analyze complex datasets, generate novel hypotheses, and even partner with human researchers in ways we are only beginning to understand. But along with these opportunities come serious questions: How do we use AI in science ethically? What does it mean to treat AI as a partner in research — not just a tool? How can AI augment human creativity and discovery without replacing human insight and care? What happens when AI starts contributing meaningfully to scientific thought and analysis — a...
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