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Ethics

Going beyond IQ

April 3, 2026 by Rumjhum Bandyopadhyay, Seema R. Singh

Abstract: Human intelligence is no longer a single concept confined to IQ. The concept of human intelligence has evolved in the last few decades, leading to the exploration of various kinds of human potentials that are effective in dealing with the emerging challenges of the 21st century. The three potentials—namely, emotional intelligence (EI), spiritual intelligence (SI), … [Read more...] about Going beyond IQ

Biodegradable nanorobots meet edge computing: Sustainable intelligence in the soil

January 8, 2026 by Arya Upadhyay

Abstract: This article explores the integration of biodegradable nanorobots and edge computing as a sustainable approach to environmental monitoring. Traditional cloud-based systems consume extensive energy for data transmission and computation, creating a paradox where digital progress contributes to ecological degradation. By embedding computation directly into eco-friendly, … [Read more...] about Biodegradable nanorobots meet edge computing: Sustainable intelligence in the soil

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

From artificial intelligence to artificial mind: A paradigm shift

December 27, 2024 by Mohammad Ghiasi

Considering the development of artificial intelligence (AI) in various fields, especially the closeness of its function to the human brain in terms of perception and the understanding of sensory and emotional concepts, it can be concluded that this concept is cognitively evolving toward an artificial mind (AM). This article introduces the concept of AM as a more accurate … [Read more...] about From artificial intelligence to artificial mind: A paradigm shift

Mitigating manipulation in generative AI

December 27, 2024 by Yanyi Wu

In an era where generative artificial intelligence (GAI) can compose symphonies and generate news articles with equal facility, the boundary between creation and manipulation becomes increasingly nebulous. This article discusses the fascinating and risky field of GAI and explores its potential to manipulate through deepfake videos and AI-generated text. Rather than presenting a … [Read more...] about Mitigating manipulation in generative AI

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About the Magazine

IEEE Potentials Magazine is the publication dedicated to undergraduate and graduate students and young professionals. IEEE Potentials explores career strategies, the latest in research, and important technical developments. Through its articles, it also relates theories to practical applications, highlights technology’s global impact, and generates international forums that foster the sharing of diverse ideas about the profession.

POPULAR ARTICLE

Privacy-preserving distributed learning: Techniques, applications, and future challenges

The rapid increase in data generated by connected devices has created a pressing need for privacy-preserving techniques in distributed learning. This article examines methods that enable collaborative machine learning (ML) while maintaining data security and user privacy. Key approaches such as federated learning (FL), differential privacy (DP), secure multiparty computation (SMPC), and homomorphic encryption (HE) are analyzed for their unique capabilities and various applications. FL facilitates model training across decentralized data sources, ensuring data remain local, while DP mitigates privacy risks by adding controlled noise. SMPC and HE support secure computations on encrypted data, maintaining confidentiality during processing. Despite their effectiveness, these techniques face challenges related to computational complexity, scalability, and regulatory compliance. The article reviews current advancements, practical implementations, and future directions, emphasizing the need for optimized, accessible solutions to enhance data security in distributed systems.

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