Computer

Summary form only: Summaries of articles presented in this issue of the publication.

Summary form only: Summaries of articles presented in this issue of the publication.

In this message, we ponder whether social media is the dominant influencer of our times.

Summary form only: Summaries of articles presented in this issue of the publication.

This report summarizes a roundtable panel discussion held at the Second Annual IEEE Workshop on Assured Autonomy, AI, and Machine Learning. Eight expert panelists discussed ways to ensure that artificial intelligence and machine learning systems are safe.

The final part of our Trustworthy AI special issue features four articles on AI security, reliability, trust, and AI trustworthiness as a whole.

Poisoning attacks compromise the training data utilized to train machine learning (ML) models, diminishing their overall performance, manipulating predictions on specific test samples, and implanting backdoors. This article thoughtfully explores these ...

We propose TRAINER, a TRustworthy Artificial Intelligence-based iNsulin recommendER for elderly individuals with type 2 diabetes, ensuring reliability and trust in insulin dosage recommendations. TRAINER exemplifies this trustworthiness and addresses such ...

The proposed framework (Human-Centered Trustworthy Framework) provides a novel human–computer interaction approach to incorporate positive and meaningful trustful user experiences in the system design process. It helps to illustrate potential users' trust ...

Many guidelines have been written and some frameworks proposed for the development of trustworthy artificial intelligence (AI), but a common concern is the lack of precision in definitions, which can make application difficult. This article proposes a ...

This article combines Distributed Artificial Intelligence (DAI) with zero-touch provisioning (ZTP) for edge networks. Several advantages are also highlighted that come with incorporating DAI into ZTP in the context of edge networks. Further, we draw ...

This article presents a comprehensive review of recent machine unlearning techniques, verification mechanisms, and potential attacks. We highlight emerging challenges and prospective research directions, aiming to provide valuable resources for ...

Through experiments on action recognition and natural language description, we show that the paradox of surveillance and privacy can be solved by artificial intelligence and that respect for human rights is not a chimera.

This article suggests practical ways to make large language models more reliable and beneficial by taking ChatGPT as a case study. Specifically, we describe ChatGPT’s workflow and promised services and highlight the perils requiring the immediate ...

Three-dimensional heterogeneous integration offers compelling opportunities to enhance the security and trust in the current semiconductor chain while new attack surfaces may emerge.

Energy consumption is an issue with many connected digital products. Resolving energy efficiency issues and putting more memory in less die space create opportunities to use new nonvolatile memories for code storage and cache memory.

Short-term technology-enhanced activities of international collaboration conducted in virtual, hybrid, or blended modalities can attract a greater number of students. We selected eight sustainable practices that higher education institutions could adopt ...

Safe artificial intelligence/machine learning (AI/ML)-enabled systems require design methodologies that accommodate for failures in AI/ML decisions. Certification of AI/ML systems and components will increase trust and accelerate adoption, deployment, and ...

Artificial intelligence (AI) has a miserable reputation regarding promises made and results delivered. Last century, there were many AI winters. The hype surrounding large language models and generative AI could join this trend, we do not hope.