Looking forward to getting the January issues of #CACM and #Interactions in the mail. #UMAP2026 @abellogin @ACM @sigchi @sigweb
| website | https://www.alansaid.com/ |
Alan Said
- 100 Followers
- 229 Following
- 136 Posts
Should be writing (more) papers. #recsys, #research, #education, #artificialintelligence.
Did you recently (or are about to) finish your PhD on #recsys, #personalization, #usermodelling, or related topic and would like to continue working in these fields? Check out our department's information on MSCA postdocs and reach out to me if you are interested https://www.gu.se/en/applied-information-technology/msca-postdoctoral-fellowship
MSCA Postdoctoral Fellowship
The Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship is a prestigious grant that can be used to recruit talented early-career researchers from other countries to Sweden, or to give researchers based in Sweden the opportunity to conduct research in a non-European country.
Jeroen BaertNew Junior Developers Can’t Actually Code - https://nmn.gl/blog/ai-and-learning
New Junior Developers Can’t Actually Code
Something’s been bugging me about how new devs learn and I need to talk about it. We’re at this weird inflection point in software development. Every junior dev I talk to has Copilot or Claude or GPT running 24/7. They’re shipping code faster than ever. But when I dig deeper into their understanding of what they’re shipping? That’s where things get concerning. Sure, the code works, but ask why it works that way instead of another way? Crickets. Ask about edge cases? Blank stares. The foundational knowledge that used to come from struggling through problems is just… missing. We’re trading deep understanding for quick fixes, and while it feels great in the moment, we’re going to pay for this later.
arXiv Information RetrievalRecommender Systems for Social Good: The Role of Accountability and Sustainability https://arxiv.org/abs/2501.05964
Recommender Systems for Social Good: The Role of Accountability and Sustainability
This work examines the role of recommender systems in promoting sustainability, social responsibility, and accountability, with a focus on alignment with the United Nations Sustainable Development Goals (SDGs). As recommender systems become increasingly integrated into daily interactions, they must go beyond personalization to support responsible consumption, reduce environmental impact, and foster social good. We explore strategies to mitigate the carbon footprint of recommendation models, ensure fairness, and implement accountability mechanisms. By adopting these approaches, recommender systems can contribute to sustainable and socially beneficial outcomes, aligning technological advancements with the SDGs focused on environmental sustainability and social well-being.
Human-centered AI🤖 From narratives of AI to its ethical landscape - @coeckelbergh takes us through a philosophical journey on the #HCAI Podcast. What does responsible #AI development really mean? 🔗 Tune in at https://hcai.se/podcast/24-12-22-hcai-podcast-episode-12-democratizin-ai-with-mark-coeckelbergh/
HCAI Podcast Episode 12 - Democratizing AI with Mark Coeckelberg | Human-centered AI @ GU
In this episode, we talk to Mark Coeckelbergh, Professor of Philosophy of Technology and Media at the University of Vienna, about the evolving landscape of AI and its implications for society. Mark brings a unique perspective, emphasizing the necessity of embedding ethical values into AI development from the outset to ensure the technology’s responsible use aligns with both human and non-human needs. He challenges the conventional human-centered AI narrative, advocating for a more inclusive approach that considers the ecological and broader impacts of AI beyond just human interactions.
And we have a #Dagstuhl Report!
Evaluation Perspectives of #RecSys. Edited by Christine Bauer, @evazangerle and myself. Written by a whole host of fantastic #recsys people. Too many to mention
https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.5.58
Evaluation Perspectives of #RecSys. Edited by Christine Bauer, @evazangerle and myself. Written by a whole host of fantastic #recsys people. Too many to mention
https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.5.58
Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters https://arxiv.org/abs/2411.16645
Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters
In the area of recommender systems, the vast majority of research efforts is spent on developing increasingly sophisticated recommendation models, also using increasingly more computational resources. Unfortunately, most of these research efforts target a very small set of application domains, mostly e-commerce and media recommendation. Furthermore, many of these models are never evaluated with users, let alone put into practice. The scientific, economic and societal value of much of these efforts by scholars therefore remains largely unclear. To achieve a stronger positive impact resulting from these efforts, we posit that we as a research community should more often address use cases where recommender systems contribute to societal good (RS4Good). In this opinion piece, we first discuss a number of examples where the use of recommender systems for problems of societal concern has been successfully explored in the literature. We then proceed by outlining a paradigmatic shift that is needed to conduct successful RS4Good research, where the key ingredients are interdisciplinary collaborations and longitudinal evaluation approaches with humans in the loop.
Listen to the latest episode of the #HCAI podcast with @elm talking about how we should work with #AI as our tool, not our replacement. Details at https://hcai.se/podcast/24-11-22-hcai-podcast-episode-11-ubiquitous-hcai-with-niklas-elmqvist/ #dataviz #hci #artificialintelligence
HCAI Podcast Episode 11 - Ubiquitous HCAI with Niklas Elmqvist | Human-centered AI @ GU
In this episode, we discuss the evolving intersection of human-computer interaction and AI with Niklas Elmqvist, a professor at Aarhus University and expert in data visualization. Niklas shares his insights on how HCI and AI can work together to create systems that amplify, augment, and empower human capabilities while ensuring transparency and user control.
🚀 What role does #AI play in amplifying and augmenting human abilities? @elm joins the #HCAI Podcast to discuss the intersection of data visualization, #HCI, and AI tools that empower, not replace, us.
🔗 Listen now https://hcai.se/podcast/24-11-22-hcai-podcast-episode-11-ubiquitous-hcai-with-niklas-elmqvist/
#humancenteredai #dataviz
🔗 Listen now https://hcai.se/podcast/24-11-22-hcai-podcast-episode-11-ubiquitous-hcai-with-niklas-elmqvist/
#humancenteredai #dataviz
HCAI Podcast Episode 11 - Ubiquitous HCAI with Niklas Elmqvist | Human-centered AI @ GU
In this episode, we discuss the evolving intersection of human-computer interaction and AI with Niklas Elmqvist, a professor at Aarhus University and expert in data visualization. Niklas shares his insights on how HCI and AI can work together to create systems that amplify, augment, and empower human capabilities while ensuring transparency and user control.
Still trying to figure out how to scratch your #recsys itch after this year's @Recsys? Have a look at the #ACMTORS Call for papers for the Special Issue on #RecommenderSystems for Good. Will you be be submitting a paper as an xmas gift to the RecSys community? // @Nava et al.
https://dl.acm.org/pb-assets/static_journal_pages/tors/pdf/TORS_SI-Recommender-Systems-for-Good-1721933817383.pdf
https://dl.acm.org/pb-assets/static_journal_pages/tors/pdf/TORS_SI-Recommender-Systems-for-Good-1721933817383.pdf
