Published July 23, 2024
| Version v1
Conference paper
Open
The SPATIAL Architecture Design and Development Experiences from Gauging and Monitoring the AI Inference Capabilities of Modern Applications
Creators
Contributors
Researchers:
- Abdul-Rasheed Ottun
- Rasinthe Marasinghe
- Toluwani Elemosho
- Mohan Liyanage
- Mohamad Ragab
- Prachi Bagave
- Marcus Westberg
- Mehrdad Asadi
- Michell Boerger
- Chamara Sandeepa
- Thulitha Senevirathna
- Bartlomiej Siniarski
- Madhusanka Liyanage
- Vinh Hoa La
- Manh-Dung Nguyen
- Edgardo Montes de Oca
- Tessa Oomen
- Joao Fernando Ferreira Gonc¸alves
- Illija Tanaskovic
- , Sasa Klopanovic
- Nicolas Kourtellis
- , Claudio Soriente
- Jason Pridmore
- Ana Rosa Cavalli
- Drasko Draskovic
- Samuel Marchal
- Shen Wang
- David Solans Noguero
- Nikolay Tcholtchev
- Aaron Yi Ding
- Huber Flores
Description
Despite its enormous economical and societal impact , lack of human-perceived control and safety is redefining the design and development of emerging AI-based technologies. New regulatory requirements mandate increased human control and oversight of AI, transforming the development practices and responsibilities of individuals interacting with AI. In this paper, we present the SPATIAL architecture, a system that augments modern applications with capabilities to gauge and monitor trustworthy properties of AI inference capabilities.
Files
The SPATIAL Architecture Design and Development Experiences from Gauging and Monitoring the AI Inference Capabilities of Modern Applications.pdf
Files
(4.1 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:a4da03224549d62b0a1cec1e4b8afa8c
|
4.1 MB | Preview Download |
Additional details
Dates
- Accepted
-
2024-07-23