Cadmus’ Post

Call for Papers (UKAIS2025 Conference): We invite full and developmental papers to Track 8: AI in Pedagogical Innovation and the Research-Teaching Nexus. 🔸 Track Call: This track seeks to provide a forum for exploring information systems (IS) pedagogical innovation and the dynamic interplay between research and teaching within the rapidly evolving artificial intelligence (AI) landscape. We call for papers that explore the transformative potential and current impact of AI in University education, investigating challenges and opportunities. We welcome both conceptual and empirical research and all methodological approaches. We particularly encourage papers offering critical perspectives. 🔹 Further information: https://lnkd.in/gEEirsQt 🔹 Submission deadline: 31 October 2024 🔹 Submission guidelines: https://lnkd.in/gpFM3V7C 🔹 Conference Call for Papers including other Tracks: https://lnkd.in/gaefzt6x Xenia Vassilakopoulou Matti Mäntymäki

I think there's a lot of potential, across a university, for AI to be used in departments and in classes. The idea of an AI champion isn't novel, but could be useful. I was talking to some undergrad students yesterday and one used AI in some courses, but didn't have a solid grasp of the function of the technology, and the other hadn't touched any LLMs and was very unfamiliar my choice. I've also spoken to some professors that have a limited personal understanding, and to many other individuals that have opinions. I believe there is a danger of user illusion that can lead to blaming the technology for errors that might not exist and lead to missed innovation opportunities. When AI is embraced by different disciplines there can be novel ideas and innovation. In academic settings, potential to improve education. But I personally haven't seen a widespread attitude of embracing and exploring. Assumptions: Maybe part of the barrier is fear, maybe part of it is limited personal exploration of the tools, and possibly the biggest reason is that it takes more work and effort—more capacity—to spend time exploring AI, when there isn't always a clear benefit. That's where an AI champion can help. I'm defining the champion as someone that could be within a department, but would ideally operate outside of a specific department and would be a bridge, connecting ideas and other people. Maybe they could raise awareness throughout faculty, maybe they could host workshops with professors to help them identify opportunities and expose them to different tools, maybe they could partner with dreams that professors have for short project sprints to build then, and most importantly they could share stories of students and faculty that are using AI as a tool in new ways. Those stories could inspire others and foster more innovation. What do you think? I'm looking from the outside at many of these things, so I have a very limited perspective. What are ways that you think an AI champion could help, or hinder, a university?

If you are an administrator at a college or school, think about implementing an "AI Champion" program to identify those who have the skills to help other faculty. When you do this, please don't limit it to one area. Think across the board--identify people in humanities, social sciences, STEM, healthcare, etc. Each one of those fields has it's own AI challenges, and I can guarantee you have faculty right now that are working on those challenges. I think this is the best way for us to elevate our educational institutions to meet the challenges of this new educational world.

📚 Starting your master’s thesis can feel overwhelming, but remember, every great project begins with a single step. Stay curious, embrace the challenges, and push through the tough days. You’re not alone on this journey; countless students have been right where you are now. Keep your head up and believe in your ability to succeed. You’ve got this! 💪✨ .......................... Reduce your literature review time to under 10 days. Latest video reveals how combining AI and manual methods not only accelerates the process but also improves the depth and accuracy of your review. Want to see how? Comment 'LR' below, and I’ll send you the link to the video! .......................... #MastersThesis #StudentMotivation #GradLife #AcademicJourney #ThesisWriting #StayCurious #PushThrough #YouGotThis #ResearchGoals #StudyInspiration #gradstudents #gradschoollife #gradstudentlife #academia #academiclife #doctoralstudent #doctorate

Although it's only been a month, my first semester in the MS ACN program has been a greatly fruitful experience, I have been able to learn so much about cognitive science and how it plays a part in human-computer interaction. This was one of my first papers which allowed me to explore a topic that I was interested in, and I chose to research Emotion Recognition Technologies and how they are being applied as well as the ethicality of these practices. I was encouraged to post this research on LinkedIn to share my findings, and wanted to attach it to this post for reading convenience. I am excited to learn more about these topics as the semester continues, and am looking forward to discussing them with my peers - whether this is in the classroom or even on LinkedIn! #artificialintelligence #humancentereddesign #cognitivescience

What will happen to us? That question is probably the single most intriguing at this precise moment in history. We’ve taken the first step into the age of intelligent machines. In historical terms, it's the first second of the AI's existence. It’s therefore ridiculous to argue that the computer will never match creative powers of the human mind. What the future holds we cannot even imagine. Human psychology has already been transformed by digital technologies. It's progressive and irreversible, and tragically, there is no end to this. It's not about the new digital tools themselves, it's about profound perceptual, cognitive, emotional, and social changes as a consequence of having them used. This isn't the first time in history that technologies are transforming the way people live, work and think, but never with such intensity in such a short time. With the rapid development of ICT, the future of mankind will be largely determined by things to come already by the end of the 21st century rather than by what's already happened over tens of thousands of years of human existence. At this point, it may be asked: How helpful really is the scientific knowledge created down through human history until the end of the 20th century in preparing for the digital future? It should be the initial question in search for the answer as to what is worth learning today. This includes even more important question in moral terms: What is worth teaching young people at a time of rapidly changes? These issues are of particular relevance to social sciences and the humanities (SSH). One can say without exaggeration that many thinking persons crave some specific theoretical concepts that will offer new perspectives on how modern societies have changed in recent decades. Instead, the academic discourse in many areas of SSH is still predominated by postmodern theorists of the second half of the 20th century as main references. By using old theories, we are aiming to explain the phenomena which have arisen in a vastly different 21st-century world. We call it education. For the past, maybe, but certainly not for the future. Part of the answer to why is it that mankind seems to be dashing headlong into a dehumanized future lies in the inability of SSH to provide the answers to today’s essential issues. For SSH to play out its historical role it will need to break free from the fetishism of memory which lives in the quoting culture pervading the academic world. One gram of another view of the world is a lot more valuable than hundreds of tons of repeating the same things over and over again.

Researchers at the University of Jyväskylä, Finland, have developed a model that enables computers to interpret and understand human emotions, utilizing principles of mathematical psychology. This advancement could significantly improve the interface between humans and smart technologies, including artificial intelligence systems, making them more intuitive and responsive to user feelings. The implications of such technology are profound, offering a glimpse into a future where computers are not merely tools, but empathetic partners in user interaction. #scientificresearch #ainews #humanemotions #humanexpression #artificialgeneralintelligence #aibusiness #computerscience #ethicalai #technologyadvancements #aiethics #artificialintelligencetechnology #ai #ai4good #aifuture #futuretrends #futuretechnology #futureofai #technologytrends #aiguided #aiadoption #aiapplications #technologyinnovation #breakthrough #aievolution #aidriven #neuralnetworks #machinelearning #superhuman #aitrends #aiforall #aidevelopment #airace #airesearch #genai #generativeai #llms #agi #llm #aiagents #futuretechnology #superintelligence #mathematicalpsychology #humantouch #humanbehaviour #expressivebehaviors #aiinnovation #humancommunication #expressiveai #technologydeployment #technologyadoption #aiadvancement #multimodalai #aimodel #cognitivescience #scienceandtechnology #psychology

The authorship concerns associated with Generative AI in academic research are very similar to those associated with the use of research assistants (or doctoral students) in research schools today. The difference is that the research assistant is now a non-human. Some senior faculty at research schools heavily rely on their doctoral students to produce research articles. In fact, this is one of the main reasons academic departments start doctoral programs - to boost their research productivity. There are several ethical and unethical ways to employ doctoral students in research. Some faculty view doctoral students as full-fledged collaborators and co-authors of papers. In addition to being ethical, this is also very beneficial to their students. Some faculty don't consider doctoral students equals: they use them to do literature reviews, collect data, and then simply acknowledge their help in the acknowledgements section. Some faculty do not acknowledge their doctoral students or research assistants in any way when the paper is published. Then there are professors who put their names (usually as the last author) on every paper that comes out of their lab or department - regardless of whether they have contributed to the paper or not. #aiethics #generativeai #gai #research #ethics

Let us confront the elephant in the room: the infiltration of Generative AI into university premises. For professors, it resembles a recurring nightmare, while for students, it could easily pass as a newfound boon, especially during assessments. But here's the question: Should the use of GenAI be permitted or does it undermine the integrity of education? I had the opportunity to present my thoughts through a multi-tier workshop on "Generative AI in Legal Education and Beyond" led by Dr Anat Keller and Ms. Cari Hyde-Vaamonde. The goal of the exercise was to develop guidelines for adoption by King's College London. Interestingly, while the Russell Group of Universities emphasises collaboration, different universities have adopted varying stances. For instance, the University of Oxford, King's College London and UCL are favourable towards its use, whereas University of Cambridge and The London School of Economics and Political Science (LSE) forbid its use in assessments. My key takeaway: Prioritize AI Literacy for students and faculty alike. Individual module leaders would then decide their approach to GenAI for their course. There is simply too much variability both in terms of GenAI tools and criteria of individual modules for broad guidelines, not to mention the rapidly evolving nature of the technology. #GenAI #LegalEducation #FutureForward #AIinAcademia

PhD: From groundbreaking discoveries to typo-induced breakdowns. .......................... Reduce your literature review time to under 10 days. Latest video reveals how combining AI and manual methods not only accelerates the process but also improves the depth and accuracy of your review. Want to see how? Comment 'LR' below, and I’ll send you the link to the video! .......................... #phdchat #phdmemes #phdjourney #phdcomics #phd #phdstudentlife #phdproblems #academicwriting #academia #postdoclife #postdoc #postphd #gradlife #gradschool #dissertation #dissertationlife #thesiswriting #phdstudent #phdcandidate #dissertationlife #phdlife #dissertationproblems #thesiswriting #thesis #dissertationdone #gradschool #doctoratedegree #doctoratestudent #doctoratelife #dissertationcoach #doctoralstudies