Ideas

When judging morality, should we prioritize **intentions/duty** or **outcomes/results**? It introduces two influential philosophers as representatives of these approaches. * **Immanuel Kant (deontology):** An action is moral when it is done from **duty** and follows rational, universal principles (the **categorical imperative**). Certain acts—like lying—are wrong regardless of the consequences; you can’t do a wrong thing for a right reason. * **John Stuart Mill (utilitarian consequentialism):** The morality of an action is determined by its **effects**, specifically how much **happiness/well-being** it produces. Mill argues that some pleasures are “higher” than others, and that good intentions don’t redeem harmful outcomes. ## Discussion Questions 1. **The lying dilemma:** A murderer comes to your door and asks if your friend is hiding inside. Kant would say you must not lie. 2. **Can good intentions rescue a bad outcome?** 3. **The organ harvest problem:** A surgeon has five patients dying of organ failure and one healthy patient in for a checkup. Killing the one to harvest organs would save five lives, and the math works out for the utilitarian. Why does this feel so deeply wrong? Is that feeling a point in Kant's favor, or just a bias we should overcome? 4. **Do rules need exceptions?** Kant insists moral rules must be universal, with no exceptions. But most of us can imagine extreme scenarios where any rule seems like it should bend. Does the need for exceptions fatally undermine deontology, or is the strength of the system precisely that it refuses to bend? 5. **Who gets to calculate the consequences?** Utilitarianism asks us to maximize good outcomes, but we're notoriously bad at predicting consequences. If we can't reliably know the results of our actions, is it practical to base our entire moral system on outcomes? Does this uncertainty push us back toward rules and principles? 6. **Everyday morality:** Think about a real moral decision you've made recently, even a small one. Did you reason more like a Kantian (what's the right thing to do in principle?) or more like a utilitarian (what will produce the best result?)? Do most people naturally lean one way? 7. **Justice vs. the greater good:** A town can prevent a deadly plague by sacrificing one innocent person. The greater good is clearly served. But is it just? Can an action be morally right and deeply unjust at the same time? 8. **The big synthesis question:** Are these two systems actually opposed, or do they often arrive at the same answers by different paths? Is it possible that we need both: rules to guide us in the moment and consequences to evaluate systems and policies over time?

FREE event [https://www.ccad.edu/chroma](https://www.ccad.edu/chroma) Friday, May 15, 3–7 p.m. CCAD campus, 60 Cleveland Ave, Columbus, OH Join Columbus College of Art & Design for *2025* *Chroma: Best of CCAD*, our annual campuswide exhibition showcasing outstanding student work from across the college’s academic programs. This faculty-juried show features select work from CCAD students of all class years, and is a can’t-miss end-of-year campus celebration recognizing their tremendous achievements. It’ll be a night of fun and entertainment, with interactive games, animation and film screenings, art symposiums, poetry and prose readings, and more (along with some of the best local food trucks). *Chroma* is free and open to all. Many exhibitions including... **Game Art & Design:** **DSB, first floor, Welcome Center lobby and Room 115**

Customer identity resolution becomes increasingly complex as organizations scale across multiple systems, regions, and data formats. Traditional rule-based approaches often fail to keep up with data variability, require constant manual tuning, and struggle with real-time processing needs. This session presents a practical approach to building a scalable identity resolution pipeline using AWS services and modern AI techniques. The architecture combines data ingestion through Amazon S3 and AWS Glue, transformation pipelines using Spark on EMR, and machine learning models deployed via SageMaker for entity matching and standardization. Graph-based relationship modeling is implemented using Amazon Neptune to improve resolution accuracy by incorporating household and shared attribute context. We will walk through how machine learning models can be used for name and address normalization, how intelligent blocking strategies improve matching efficiency, and how feedback loops can be introduced to continuously improve accuracy. The session also highlights how serverless components such as AWS Lambda can be used for orchestration and real-time processing. **SPEAKER BIO** Mosaic Syed is a Senior Data Engineering and Cloud Solutions Architect with over 20 years of experience designing and delivering scalable, secure, and high-performance data solutions across global enterprise environments. https://www.linkedin.com/in/mosaic-basha-syed-92300856 **CALL FOR SPEAKERS** Learn more: [https://www.awscolumbus.com/get-involved/](https://www.awscolumbus.com/get-involved/) **THANK YOU** *VEEAM* for hosting our meetup! To learn more about *Veeam*, please visit their website: [https://www.veeam.com/](https://www.veeam.com/) **DIRECTIONS** 8800 Lyra Dr #450 · Columbus, OH go to 4th floor. **Want to sponsor the pizza and/or bar tab?** Please contact me if you would like to sponsor this meetup's pizza and/or bar tab: angelo@mandato.com

**Session 01 - Lightroom Classic Fundamentals and Catalog Management** **Session 02 - Lightroom Classic Library Module Part 01** **Session 03 - Lightroom Classic Library Module Part 02** **Session 04 - Lightroom Classic Develop Module Part 01** **Session 05 - Lightroom Classic Develop Module Part 02** **Session 06 - Lightroom Classic Export Operations** **Session 07 - Lightroom Classic Print, Book, and Slide Modules** **Session 08 - Lightroom Classic Troubleshooting and Optimizing**

Sleep in on Sundays. When you've had your fill of pajama-time, roll out and have some tasty brunch with your fellow Humanists!