Training data

A tourist guide to ethical artificial intelligence usage

July 12, 2025 by Benjamin Ekow Attabra

Abstract: Artificial intelligence (AI) is no longer just in sci-fi movies or comics. It is the tiny voice in your phone called a voice assistant, the recommendations you see when you open your favorite streaming service, and your car’s driver. As AI systems subtly thread themselves into our daily lives, they carry not only impressive capabilities and convenience but also … [Read more...] about A tourist guide to ethical artificial intelligence usage

Deep learning for edge devices

July 28, 2023 by Luiz Zaniolo

Deep learning (DL) has revolutionized the field of artificial intelligence (AI). At its essence, DL consists of building, training, and deploying large, multilayered neural networks. DL techniques have been successfully used in computer vision (CV), natural language processing (NLP), network security, and several other fields. As DL applications become more ubiquitous, another … [Read more...] about Deep learning for edge devices

Privacy implications of facial recognition technology

Facial recognition technology (FRT) has experienced enormous growth and rapid deployment across different sectors of the society in recent years, mostly motivated by safety, security, and commercial applications. However, major privacy questions arise around this technology, and regulators are still working to provide clear set of rules governing its use. This paper focuses on privacy implications of FRT usage. Specifically, we first present the definition of FRT, followed by an analysis of the vulnerability and risks that can potentially arise and how they might be concerning in such context. Finally, we discuss efforts needed to mitigate privacy concerns related to FRT, from both technical and regulatory perspectives.

Training data

Footer