Laura Koesten, Assistant Professor of Human-Computer Interaction at MBZUAI, studies how people interpret and interact with data, driven by the increasing need to adapt digital environments to people. Her work focuses on making data more accessible and understandable for various audiences, drawing from her Ph.D. research at the University of Southampton and postdoctoral work at King's College London. She emphasizes the importance of data literacy for citizens in understanding how data is used in decision-making systems. Why it matters: This research contributes to bridging the gap between complex AI systems and human understanding, fostering broader societal engagement with data-driven technologies in the UAE and beyond.
MBZUAI's AI Quorum workshop featured Yale biostatistics professor Heping Zhang discussing the challenges of using AI and statistics to analyze noisy biological data for health insights. Zhang highlighted the need to develop methods to extract meaningful stories from noisy data to understand brain function and genetic roles in disease regulation. Harvard's Xihong Lin presented recommendations for building an ecosystem using AI and statistics to improve understanding of the relationship between genome sequences and biological functions. Why it matters: This discussion underscores the importance of AI and statistical methods in addressing the complexities of biological data, particularly in understanding neurological diseases like Alzheimer's, and highlights the need for centralized data infrastructure.
A new paper from MBZUAI researchers explores using ChatGPT to combat the spread of fake news. The researchers, including Preslav Nakov and Liangming Pan, demonstrate that ChatGPT can be used to fact-check published information. Their paper, "Fact-Checking Complex Claims with Program-Guided Reasoning," was accepted at ACL 2023. Why it matters: This research highlights the potential of large language models to address the growing challenge of misinformation, with implications for maintaining information integrity in the digital age.
The article discusses immersive analytics, which uses VR and AR to visualize data in 3D and embed it into the user's environment, and reviews systems and techniques from the Data Visualisation and Immersive Analytics lab at Monash University. It explores the concept of "embodied sensemaking" and its potential to improve how people work with complex data. Professor Tim Dwyer directs the Data Visualisation and Immersive Analytics Lab at Monash University. Why it matters: Immersive analytics could significantly enhance data comprehension and decision-making across various sectors in the Middle East, where large-scale projects and smart city initiatives generate vast datasets.
MBZUAI researchers developed Data Wise, an AI platform that provides instant data analytics for businesses. The platform uses AI agents and LLMs to analyze raw customer data and generate actionable recommendations. Data Wise aims to address the shortage of data scientists, particularly in the UAE and GCC. Why it matters: This platform democratizes access to advanced analytics, empowering businesses in the region to make data-driven decisions without relying on scarce technical expertise.