Artificial Intelligence and Robotics Commons^™

Towards Understanding The Geospatial Skills Of Chatgpt: Taking A Geographic Information Systems (Gis) Exam, Peter Mooney, Wencong Cui, Boyuan Guan, Levente Juhasz

GIS Center

This paper examines the performance of ChatGPT, a large language model (LLM), in a geographic information systems (GIS) exam. As LLMs like ChatGPT become increasingly prevalent in various domains, including education, it is important to understand their capabilities and limitations in specialized subject areas such as GIS. Human learning of spatial concepts significantly differs from LLM training methodologies. Therefore, this study aims to assess ChatGPT's performance and ability to grasp geospatial concepts by challenging it with a real GIS exam. By analyzing ChatGPT's responses and evaluating its understanding of GIS principles, we gain insights into the potential applications and challenges …

Integrating Cultural Knowledge Into Artificially Intelligent Systems: Human Experiments And Computational Implementations, Anurag Acharya

FIU Electronic Theses and Dissertations

With the advancement of Artificial Intelligence, it seems as if every aspect of our lives is impacted by AI in one way or the other. As AI is used for everything from driving vehicles to criminal justice, it becomes crucial that it overcome any biases that might hinder its fair application. We are constantly trying to make AI be more like humans. But most AI systems so far fail to address one of the main aspects of humanity: our culture and the differences between cultures. We cannot truly consider AI to have understood human reasoning without understanding culture. So it …

Building Capacity For Data-Driven Scholarship, Jamie Rogers

Works of the FIU Libraries

This talk provides an overview of "dLOC as Data: A Thematic Approach to Caribbean Newspapers," an initiative developed to increase access to digitized Caribbean newspaper text for bulk download, facilitating computational analysis. Capacity building for future research in Caribbean Studies being a crucial aspect of this initiative, a thematic toolkit was developed to facilitate use of the project data as well as provide replicable processes. The toolkit includes sample text analysis projects, as well as tutorials and detailed project documentation. While the toolkit focuses on the history of hurricanes and tropical cyclones of the region, the methodologies and tools used …

Ai For Archives: Using Facial Recognition To Enhance Metadata, Rebecca Bakker, Kelley Rowan, Liting Hu, Boyuan Guan, Pinchao Liu, Zhongzhou Li, Ruizhe He, Christine Monge

Works of the FIU Libraries

The goal of this research project was to determine the most effective facial recognition applications that could be implemented into digital archive image collections from libraries, museums, and cultural heritage institutions. Computer scientists and librarians at Florida International University collaborated to conduct qualitative assessments of both face detection and face search using photographs from FIU’s digital collections. Specifically, the facial recognition platforms OpenCV, Face++, and Amazon AWS were analyzed. This project seeks to assist LYRASIS community members who wish to incorporate facial recognition and other artificial intelligence technology into their digital collections and repositories as a method to reduce research …

Adopting Machine Learning At The Fiu Libraries, Jamie Rogers

Works of the FIU Libraries

Over the past five years, the FIU Libraries have developed and implemented various machine learning and AI technologies with the goal of improving discovery and access to materials as well as provide new methods for analysis of content. A sampling of these projects include the development of resource recommendation functionality using machine learning, which is embedded into our digital library system; the use of Microsoft's Cognitive Services AI for transcription of audio files as well as translation of text in over 60 languages; the evaluation of serval AI systems and training data sets for facial recognition in archive photographs; and …

Automatic Learning Of Document Section Structure For Ontology-Based Semantic Search, Deya Banisakher

FIU Electronic Theses and Dissertations

Modeling natural human behavior in understanding written language is crucial for developing true artificial intelligence. For people, words convey certain semantic concepts. While documents represent an abstract concept---they are collections of text organized in some logical structure, that is, sentences, paragraphs, sections, and so on. Similar to words, these document structures, are used to convey a logical flow of semantic concepts. Machines however, only view words as spans of characters and documents as mere collections of free-text, missing any underlying meanings behind words and the logical structure of those documents.

Automatic semantic concept detection is the process by which the …

Implementing Facial Recognition Technology In A Municipal Archives Digitization Project, Rebecca Bakker

Works of the FIU Libraries

This poster at the 2019 annual meeting of the South Florida Archivists highlights a project where the facial recognition technology of Adobe Lightroom CC is used to identify individuals in photographs held by a local municipal archive. The photographs contain hundreds of images showing unnamed commissioners and city workers from the 1970s to the 1990s, with most of the images lacking metadata or information. Various strategies are employed to identify key city officials in the photographs, allowing their names to be added to the metadata of the records hosted in a digital repository. The poster demonstrates the potential and limitations …

Self-Coaching With Ai: Developing Thinking Skills, Thinking Dispositions, And Well-Being, Olivier Malafronte, Isla Reddin, Roy Van Den Brink-Budgen

ICOT 18 - International Conference on Thinking - Cultivating Mindsets for Global Citizens

Being motivated by the need to address the challenges of our Volatile Uncertain Complex Ambiguous world, we strive to create tools to improve people’s lives and help them become more resilient, resourceful, self-confidant, and successful.

In a digital world, we must understand how to efficiently connect to digital systems. Connecting “with AI” doesn’t mean spending more time on digital devices, but spending time in a deliberate way with purpose and intentional learning outcomes.

As a society, we want to see graduates with emotional intelligence and reflective skills in order to address global economic and social issues. As for jobs …