Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing
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- research-articleSeptember 2024
What you see, What you get? Mapping Inconsistencies of Sustainability Judgements among Experts and Consumers
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 443–452https://doi.org/10.1145/3677525.3678695Addressing sustainability issues requires collective action, with individuals playing a crucial role. Despite a willingness to shop responsibly, people lack the knowledge needed to make informed decisions, this information gap underpins the intention-...
- research-articleSeptember 2024
MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social Discussions
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 433–442https://doi.org/10.1145/3677525.3678694Moral values play a fundamental role in how we evaluate information, make decisions, and form judgements around important social issues. Controversial topics, including vaccination, abortion, racism, and sexual orientation, often elicit opinions and ...
- Work in ProgressSeptember 2024
Conversational Skills of LLM-based Healthcare Chatbot for Personalized Communications
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 429–432https://doi.org/10.1145/3677525.3678693The healthcare sector is increasingly utilizing bots for patient management, chronic disease management, and health advice, providing 24/7 support and immediate medical responses. The language of these bots is crucial, impacting patient comfort, ...
- research-articleSeptember 2024
Precedability Prediction Between Open Educational Resources
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 386–393https://doi.org/10.1145/3677525.3678686The abundance of Educational Resources (ERs) has allowed people to have access to a vast amount of knowledge. However, it can be difficult, for both educators and learners, to navigate through these resources. One way to facilitate navigation is to ...
- research-articleSeptember 2024
Bird Action Recognition in Wetlands using Deep Learning
- Javier Rodriguez-Juan,
- Adrian Berenguer-Agullo,
- Manuel Benavent-Lledo,
- David Mulero-Perez,
- Jose Garcia-Rodriguez,
- Esther Sebastián-González
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 350–357https://doi.org/10.1145/3677525.3678681The current decline in bird species and protected natural areas highlights the importance of providing solutions to improve the understanding of bird biodiversity and its interaction with its environment. This study focuses on the development and ...
- research-articleSeptember 2024
"Artificial intelligence is a very broad term": How educators perceive Artificial Intelligence?
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 315–323https://doi.org/10.1145/3677525.3678677Artificial intelligence (AI) has seamlessly integrated into our daily routines. Recognizing the significance of AI, educators are expected not only to teach about AI but also to utilize AI tools in their teaching, ensuring that their students are ...
- research-articleSeptember 2024
Utilizing Self-Supervised Learning for Recognizing Human Activity in Older Adults through Labeling Applications in Real-World Smart Homes
- Hui Chen,
- Charles Gouin-Vallerand,
- Kévin Bouchard,
- Sébastien Gaboury,
- Hubert Kenfack Ngankam,
- Maxime Lussier,
- Mélanie Couture,
- Nathalie Bier,
- Sylvain Giroux
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 275–283https://doi.org/10.1145/3677525.3678671Deep learning models have significantly contributed to recognizing older adults’ daily activities for telemonitoring and assistance. However, recognizing human activities in real-world smart homes over the long term presents substantial challenges. ...
- Work in ProgressSeptember 2024
Towards Modeling and Evaluating Instructional Explanations in Teacher-Student Dialogues
- Nils Feldhus,
- Aliki Anagnostopoulou,
- Qianli Wang,
- Milad Alshomary,
- Henning Wachsmuth,
- Daniel Sonntag,
- Sebastian Möller
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 225–230https://doi.org/10.1145/3677525.3678665For dialogues in which teachers explain difficult concepts to students, didactics research often debates which teaching strategies lead to the best learning outcome. In this paper, we test if LLMs can reliably annotate such explanation dialogues, s.t. ...
- extended-abstractSeptember 2024
Generating Synthetic Augmentation Data from a Practical UWB Radar Dataset Using VQ-VAE
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 212–215https://doi.org/10.1145/3677525.3678663Human Activity Recognition (HAR) is a field that has attracted significant attention due to its wide range of applications, from healthcare monitoring to smart home systems. Because of the aging of the population in first-world countries, it becomes ...
- research-articleSeptember 2024
Altruistic Bandit Learning For One-to-Many Matching Markets
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 197–203https://doi.org/10.1145/3677525.3678661The decision-making of the agents in a matching is led by their preferences. Two-sided matching with known preferences of the agents has been studied for a long time. Present-day matching applications require considering stochastic environments where ...
- research-articleSeptember 2024
Fair Inference for Discrete Latent Variable Models: An Intersectional Approach
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 188–196https://doi.org/10.1145/3677525.3678660It is now widely acknowledged that machine learning models, trained on data without due care, often exhibit discriminatory behavior. Traditional fairness research has mainly focused on supervised learning tasks, particularly classification. While ...
- research-articleSeptember 2024
Adequate Prompting Improves Performance of Regression Models of Emotional Content
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 135–142https://doi.org/10.1145/3677525.3678653Regression models of natural language content are widely popular in many applications, such as sentiment analysis, stance detection and emotion detection. The multidimensional Russell and Mehrabian’s Valence-Arousal-Dominance (VAD) model has been ...
- research-articleSeptember 2024
Being Accountable is Smart: Navigating the Technical and Regulatory Landscape of AI-based Services for Power Grid
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 118–126https://doi.org/10.1145/3677525.3678651The emergence of artificial intelligence and digitization of the power grid introduced numerous effective application scenarios for AI-based services for the smart grid. Nevertheless, adopting AI in critical infrastructures presents challenges due to ...
- Work in ProgressSeptember 2024
CuLao - Constructing Utilities of Large Language Models in Resource-Constrained Environments
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 100–104https://doi.org/10.1145/3677525.3678648The increasing development and utilization of Large Language Model (LLM) services have demonstrated many benefits in different contexts. However, LLM services are mainly available in the public cloud and require huge computing resources to operate, thus ...
- Work in ProgressSeptember 2024
Towards A Unifying Human-Centered AI Fairness Framework
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 88–92https://doi.org/10.1145/3677525.3678645Achieving fairness in AI systems is a critical yet challenging task due to conflicting metrics and their underlying societal assumptions, e.g., the extent to which racist and sexist societal processes are presumed to cause harm and the extent to which ...
- research-articleSeptember 2024
Domain-Adaptive TinyML Model for Efficient Pest and Disease Detection in Domestic Crops: A Practical Approach for Developing Countries
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 44–55https://doi.org/10.1145/3677525.3678639Artificial intelligence (AI) is a disruptive technology that has achieved remarkable breakthroughs across various domains and is reshaping our daily lives. However, AI’s resource-intensive, time-consuming, and domain-specific nature creates a ...
- Work in ProgressSeptember 2024
DuneSA: A SAM-based Approach with Domain-Specific Knowledge for Aeolian Dune Segmentation
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 32–35https://doi.org/10.1145/3677525.3678637Dune segmentation is a fundamental task for geographers’ efforts in tackling the global desertification problems. Geographers often use visual interpretation to segment dunes, thus developing valuable insights into the ever-changing conditions that ...
- extended-abstractSeptember 2024
Active and Transfer Learning for Efficient Identification of Species in Multi-Label Bioacoustic Datasets
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 22–25https://doi.org/10.1145/3677525.3678635The complex system of life on Earth, biodiversity, provides the essential resources for human survival. However, humanity is the primary driver of species extinction, accelerating the extinction rate to 100-1000 times higher than pre-industrial times. ...
- research-articleSeptember 2024
JoinDetect: A Data-Led Machine Learning Approach to Detection of Coinjoin Transactions
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodSeptember 2024, Pages 5–13https://doi.org/10.1145/3677525.3678633CoinJoin is a privacy-enhancing technique used in cryptocurrency transactions, designed to obfuscate the ownership of funds by amalgamating multiple inputs, thereby complicating the task of linking identities to addresses. While traditional methods for ...
- research-articleSeptember 2024
Insights on Implementing a Metrics Baseline for Post-Deployment AI Container Monitoring
ICSSP '24: Proceedings of the 2024 International Conference on Software and Systems ProcessesSeptember 2024, Pages 46–55https://doi.org/10.1145/3666015.3666018Post-deployment monitoring (PDM) occurs in the late stages of a DevSecOps (DSO) pipeline. Its role in DSO is critical in providing feedback loops on system performance leading to desirable changes achieving long-term system and application sustainment. ...