Introduction to the special issue on Innovative Applications of Artificial Intelligence (IAAI 2024)
This special issue of AI Magazine covers select applications from the Innovative Applications of Artificial Intelligence (IAAI) conference held in 2024 in Vancouver, Canada. The articles address a broad range of very challenging issues and ...
Framework to enable and test conversational assistant for APIs and RPAs
- Jayachandu Bandlamudi,
- Kushal Mukherjee,
- Prerna Agarwal,
- Ritwik Chaudhuri,
- Rakesh Pimplikar,
- Sampath Dechu,
- Alex Straley,
- Anbumunee Ponniah,
- Renuka Sindhgatta
In the realm of business automation, conversational assistants are emerging as the primary method for making automation software accessible to users in various business sectors. Access to automation primarily occurs through application ...
AI‐assisted research collaboration with open data for fair and effective response to call for proposals
Building teams and promoting collaboration are two very common business activities. An example of these are seen in the TeamingForFunding problem, where research institutions and researchers are interested to identify collaborative opportunities ...
DCV2I$\text{DCV}^2\text{I}$: Leveraging deep vision models to support geographers' visual interpretation in dune segmentation
Visual interpretation is extremely important in human geography as the primary technique for geographers to use photograph data in identifying, classifying, and quantifying geographic and topological objects or regions. However, it is also time‐...
Fusing remote and social sensing data for flood impact mapping
The absence of comprehensive situational awareness information poses a significant challenge for humanitarian organizations during their response efforts. We present Flood Insights, an end‐to‐end system, that ingests data from multiple ...
A submodular optimization approach to trustworthy loan approval automation
In the field of finance, the underwriting process is an essential step in evaluating every loan application. During this stage, the borrowers' creditworthiness and ability to repay the loan are assessed to ultimately decide whether to approve ...
The virtual driving instructor: Multi‐agent system collaborating via knowledge graph for scalable driver education
This work introduces the design, development, and deployment of a virtual driving instructor (VDI) for enhanced driver education. The VDI provides personalized, real‐time feedback to students in a driving simulator, addressing some of the ...
Leveraging AI to improve health information access in the World's largest maternal mobile health program
- Shresth Verma,
- Arshika Lalan,
- Paula Rodriguez Diaz,
- Panayiotis Danassis,
- Amrita Mahale,
- Kumar Madhu Sudan,
- Aparna Hegde,
- Milind Tambe,
- Aparna Taneja
Harnessing the wide‐spread availability of cell phones, many nonprofits have launched mobile health (mHealth) programs to deliver information via voice or text to beneficiaries in underserved communities, with maternal and infant health being a ...
A survey of out‐of‐distribution generalization for graph machine learning from a causal view
Graph machine learning (GML) has been successfully applied across a wide range of tasks. Nonetheless, GML faces significant challenges in generalizing over out‐of‐distribution (OOD) data, which raises concerns about its wider applicability. ...
Data‐efficient graph learning: Problems, progress, and prospects
Graph‐structured data, ranging from social networks to financial transaction networks, from citation networks to gene regulatory networks, have been widely used for modeling a myriad of real‐world systems. As a prevailing model architecture to ...
Learning representations for robust human–robot interaction
This article summarizes the author's presentation in the New Faculty Highlight at the Thirty‐Eighth AAAI Conference on Artificial Intelligence. It discusses the desired properties of representations for enabling robust human–robot interaction. ...
Deceptively simple: An outsider's perspective on natural language processing
This article highlights a collection of ideas with an underlying deceptive simplicity that addresses several practical challenges in computational social science and generative AI safety. These ideas lead to (1) an interpretable and quantifiable ...
