France Belanger

Will consumers ever adopt electric vehicles (EV)? With the #Rivian manufacturing plant construction on hold, and consumer adoption and EV infrastructure not quite there, Prof. Alok Saboo (Dept. of Marketing) explores the opportunities and costs involved. https://t.gsu.edu/44nPWGJ #TheStateWay #Research #RobinsonTake #ElectricVehicles #ElectricCars

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📘 Just published a new commentary in Distance Education with co-authors Sean Hickey and Fan Xu exploring the integration of generative Artificial Intelligence chatbots into online learning. This reflection raises important questions about AI's capabilities and limitations in educational settings. 🤔 The use of AI in education demands a deep understanding not only of its potential to enhance learning but also of the ethical and social concerns it raises. ✍🏼 Through the article, we detail the design principles and strategies necessary for developing effective AI-powered online learning experiences. 🌐 As we look to the future, it's imperative to consider how these technologies are implemented responsibly. 🔗 https://lnkd.in/gnFNQViR #AIinEducation #OnlineLearning #EducationalTechnology #EthicsInAI #DistanceEducation

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As the #ICIS2024 deadline approaches, I thought sharing an IS Classic on Information Systems as a reference discipline + the MISQ Insider interview with Richard Baskerville and Michael Myers felt about right. The article: https://lnkd.in/eE27nA43 The insider interview: https://lnkd.in/epE6wrhT The citation: Baskerville, R. L., & Myers, M. D. (2002). Information systems as a reference discipline. MIS Quarterly, 1-14. The abstract: The conventional wisdom amongst information systems (IS) researchers is that information systems is an applied discipline drawing upon other, more fundamental, reference disciplines. These reference disciplines are seen as having foundational value for IS. We believe that it is time to question the conventional wisdom. We agree that many disciplines are relevant for IS researchers, but we suggest a re-think of the idea of “reference disciplines” for IS. In a sense, IS has come of age. Perhaps the time has come for IS to become a reference discipline for others. #misq #bangkok2024 #ais

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Jerry Seinfeld | Duke's 2024 Commencement Address Source: https://lnkd.in/gR9upH6Q #funny #commencement #address #jerryseinfeld #lifelessons #worthwatching Highlights: I will give you my three real keys to life. They are number one. Bust your ass. Number two. Pay attention. Number three. Fall in love. 1. Number one. You obviously already know. Whatever you're doing, I don't care if it's your job, your hobby, your relationship. Getting a reservation at M Sushi. Make an effort. Just pure stupid. No real idea what I'm doing here effort. Effort always yields a positive value. Even if the outcome of the effort is absolute failure of the desired result. This is a rule of life. Just swing the bat and pray is not a bad approach to a lot of things. 2. Number two. Pay attention. If you're in a small submersible that looks like a giant kazoo and going to visit the Titanic seven miles down at the bottom of the ocean, and the captain of the vessel is using a Gameboy controller. Pay attention to that. What are you checking out down there? Oh, I see what happened. This ship sank. Now I understand why it never made it into port. If the fish where you are have eyes like Shelley Duvall and a bendy straw with a work blade hanging off their head, you do not belong there. If the fish are going, I can't see a goddamn thing. You won't either. 3. Number three, fall in love. It's easy to fall in love with people. I suggest falling in love with anything and everything. Every chance you get. Fall in love with your coffee, your sneakers, your blue zone parking space. I've had a lot of fun in life. Falling in love with stupid, meaningless physical objects. But the object I love the most is the clear barrel BIC pen, $1.29 for a box of ten. I can fall in love with a car turn signal switch that has a nice feel to it. A pizza crust that collapses with just the right amount of pressure. I have truly spent my life focusing on the smallest things imaginable, completely oblivious to all the big issues of living. Find something where you love the good parts and don't mind the bad parts too much. The torture you're comfortable with. This is the golden path to victory in life. Work. Exercise. Relationships. ... About work, You know how they always say nobody ever looks back on their life and wishes they spent more time at the office? Well, why? Why don't they? Guess what? Depends on the job. If you took a stupid job that you find out you hate and you don't leave, that's your fault. Don't blame work. Work is wonderful. I definitely will not be looking back on my life wishing I worked less. If that's not how you feel at work. Quit. On your lunch break. Disappear. Make people go. What happened to that guy? I don't know, he said he was getting something to eat. Never came back.

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As my colleagues and I detail in a pair of just-released policy briefs, a “sociotechnical” approach means viewing society and technology together as one coherent system. This perspective recognizes that the performance, effectiveness, and downstream consequences of technologies derive neither from technical design nor social dynamics in the abstract, but from the real-world interplay between the two. It also encourages multidisciplinary expertise—not just that of hard-science technologists—to measure and evaluate AI’s impacts. https://lnkd.in/gemEgMAw

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We at Northwestern University Computer Science Department were delighted to host shafi goldwasser, winner of the ACM, Association for Computing Machinery Turing Award, and Director of the Simons Institute for the Theory of Computing here on Friday May 10. She also shared with us the sad story that Jim Simons, mathematician and founder of Renaissance Technologies LLC passed away yesterday at the age of 86. Rest in peace Jim. Read more about Jim Simons here - https://lnkd.in/gPXrM6n8 #simons #acm Here talk was about "Trust, Backdoor Vulnerabilities and Possible Mitigations". Abstract: Cryptographic tools and models enable to trust the use of technology platforms controlled by worst case computationally bounded adversaries. In this talk I will use cryptographic modeling and tools to view trust dilemmas in various phases of the machine learning pipelines. We will touch on privacy in the training stage, verification of properties of machine learning models, and the possibility of achieving robustness in presence of backdoors.

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How does artificial intelligence affect your day-to-day life and where does it stand in Washington state? UW ECE alumnus and Affiliate Professor Jai Jaisimha (Ph.D. ‘96) and Professor Hwang, Jenq-Neng recently addressed these questions with the Bellingham Herald. Although generative AI is relatively new, a type of artificial intelligence known as machine learning has been around for decades. It’s been used to calculate credit card scores, address public health issues and monitor natural resources. Learn more via the link below. #UWECE https://lnkd.in/gDKjiXjE

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Finding the right use cases is key to utilizing #AI effectively. 

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AI is here to stay. In higher education, I hope we can embrace the tools to "supercharge" our pedagogy and our students' learning. Rather than an unsavory crutch, how can we teach critical thinking, information literacy and the beauty of science with AI as our partner and not our pallid replacements? What do you think? Thanks, HETL for the post. International HETL Association #studentlearning #highereducation #faculty #generativeAI https://lnkd.in/gg_qYnfK

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Interesting discussion of tools for Higher Education with over 100 specific resources! Talk about information overload! Need to ask AI which are best for the uses desired!! https://lnkd.in/ee85YVGV

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This edited book aims to cover the cloud management and framework. It discusses how cloud computing framework can be integrated with fog computing, edge computing, deep learning and IOT. This book is primarily aimed at graduates and researchers to understand the echo system of cloud technology for agriculture and healthcare. https://lnkd.in/dHFXC7AW

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Adapting our research and regulatory processes to keep pace with GenAI technologies is crucial. Our participation in the Federation of American Scientists policy sprint is an attempt to provide a framework for legislators to use to expedite high quality research for instructional programs using GenAI. Failure to do so exposes students to ineffective or harmful educational tools, exacerbates inequities, and hinders our ability to prepare students for success. The rapid advancement of GenAI offers unprecedented opportunities for personalized learning and support, but the slow pace of traditional research and evaluation processes poses significant risks. To address this, we propose three key actions: 1. Establish the GenAI in Education Research Accelerator Program (GenAiRA) to expedite efficacy research on GenAI-powered tools. 2. Adapt IES research processes to allow for rapid assessment of GenAI technologies. 3. Create a GenAI Education Research and Innovation Consortium to foster collaboration among schools, researchers, and EdTech developers. Implementing these recommendations will ensure GenAI tools are safe, effective, and equitable, helping to close learning gaps and improve outcomes for all students. Cc: coauthors: Anastasia Betts, Ph.D. Diana Hughes, MFA Erin Lenihan, M.Ed. Age of Learning, EDSAFE AI Alliance #policy #innovation #education #evidence Policy paper in comments.

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I recently completed a course, Generative AI Prompt Literacy, offered by the University of Michigan-Flint at absolutely no cost! The course provided an excellent overview of the technology behind AI, components of a good prompt, and best practices for using this technology. https://lnkd.in/etjtFgpu

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Join us for Kirana Bergstrom's PhD in Applied Mathematics Thesis Defense “Distributions-Based Methods for Data Consistent Inversion” on Tuesday June 25th at 1:00 pm in Student Commons 4125 or on Zoom. Email mathstats-staff@ucdenver.edu for the link. Title: Distributions-Based Methods for Data Consistent Inversion Abstract: We formulate a novel approach to solve a class of stochastic problems, referred to as data-consistent inverse problems, which involve the characterization of a probability measure on the parameters of a computational model whose subsequent push-forward matches an observed probability measure on specified quantities of interest (QoI) typically associated with the outputs from the computational model. Whereas prior data-consistent solution methodologies focused on either constructing non-parametric estimates of the densities or the probabilities of events associated with the pre-image of the QoI map, we develop and analyze a constrained quadratic optimization approach based on estimating push-forward measures using weighted empirical distribution functions. The method proposed here is more suitable for low-data regimes or high-dimensional problems than the density-based method, as well as for problems where the probability measure does not admit a density. An alternative method for computing the weights is developed as a histograms-inspired, ratio of samples computation. Some additional extensions to the method are also proposed, including a method that will work on alternative sets of pre-computed samples, and an interative method for when data is collected asynchronously across dimensions. Numerical examples are included to demonstrate the performance of the method and to compare with the density-based approach, and theoretical convergence analysis for most methods proposed are provided.

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Early this week, I attended the Upper Peninsula Teaching and Learning Conference (UPTLC 2024) at Bay College in Escanaba. I really enjoyed it and learned many things. For me, the main takeaway is that AI tools will continue to evolve and they are not going to disappear. We need to find ways to use them in the classroom and for research. Ways that make sense and further the learning objectives. Three things caught my attention. 1- Plagiarism concerns. When is using AI unethical? 2- Equity concerns. Tools are not free and equitable access may be a challenge. 3- AI provides tools, which we will be using. How can they help (not degrade) learning outcomes? One attendee gave an example of an architect designing a house, but not building it. Who owns the copyright here? Using this example further, I find that the architect will use AI tools that make them a better more efficient architect, and the bricklayer will use (maybe AI) tools to build better walls. In both cases, the professional must be in control of the tool. https://lnkd.in/e6UypwyC

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