The purpose of the Applied Imagery Pattern Recognition (AIPR) annual workshops is to bring together researchers from government, industry, and academia in an elegant setting conducive to technical interchange across a broad range of disciplines. The papers span a range of topics, from research to fielded systems and provide to scientists, developers, and managers alike, a broad vision of the applicability of image analysis and machine learning technologies.

The AIPR Workshop continues the half-century of success and tradition in pioneering new topics in applied image and visual understanding. Artificial intelligence (AI) & machine learning (ML) have proven to be extremely useful in analyzing and classifying images and are now prolific in image analysis, robotics, face recognition, and beyond. But despite their performance, the details of their decision-making process remain obscure.

Artificial Intelligence has the power to do a great deal of good, as well as the potential to do great harm. To drive a future where AI systems are trustworthy contributors to society, these capabilities must be designed and verified for safe and reliable operation. We must build AI systems that are secure and resilient to adversarial attacks. These systems must be predictable, explainable, fair, and secure.

In addition to traditional AIPR topics, the 2022 IEEE AIPR Workshop will explore the following topics as they pertain to computer vision, imaging, and pattern recognition:

Assured AI & Autonomy

Responsible AI (RAI) & Explainable AI (XAI)

Secure Intelligent Systems

2022 Call for Abstracts

AIPR is organized by the AIPR Workshop Committee, with generous support from: