Using the Taxonomy for Artificial Intelligence Hazard Analysis to examine the recent accident where a pedestrian was dragged by a self-driving car, major themes include lacking consideration for remote operations issues, significant post-collision ...

Generative AI’s (GenAI’s) risks can be amplified in “long tail” populations and regions. We recommend strategies to mitigate these risks and conclude by calling for a more nuanced and global dialog on GenAI safety.

Artificial Intelligence and machine learning (AI/ML) failures can be challenging to analyze. Detailed understanding of how these systems fail is a valuable first step in designing better AI/ML safety and security practices.

This article considers how affordances such as fairness, accountability, transparency, ethics, and security (including privacy) could be implemented so that artificial intelligence use cases emerge as forces for good.

In this interview, Bruce Schneier reflects on the security challenges of artificial intelligence.

Initial efforts to report artificial intelligence (AI) incidents aimed to improve transparency, yet systematic studies have been rare. We analyzed all 639 real-world incidents in the emerging AI Incidents Database, devising an ethical framework focused on ...

Healthy skepticism improves project success by confronting project problems with candor, but is easy to stifle when participants fear being considered “Luddites.” Healthy skepticism is valuable and necessary but cannot survive when all skepticism is ...

The integration of artificial intelligence has led to significant advancements across industries but also exposed systems to security vulnerabilities. We evaluate defense methods, including robust data practices, adversarial training, model hardening, ...

This article investigates machine learning (ML) security, focusing on threats and attacks against ML. We have created a threat model for ML to illustrate the threat actors involved. We present a new approach to classify threats and attacks targeting ML.

In this interview with Douglas Jones, we assess the integrity of the election infrastructure in the United States and compare the status with earlier assessments.

I examine regulatory difficulties faced by U.S. tech firms in the European Union (EU) and their strategies for navigating them and highlight promising developments within the EU’s generative artificial intelligence start-up scene, illustrating progress ...

This article highlights the success factors of Health Care 4.0 as well as the benefits and challenges of the latest paradigm under the Internet of Medical Things: the Clinical Internet of Things.

This article proposes that measures of relevance be used instead probabilities for managing cyber risk.

Summaries of articles presented in this issue of the publication.

This article contributes to the state of the art by gathering practitioners’ perspectives in terms of the challenges they face while aligning security and usability in the development of systems and services and prospects for future consideration and ...

Vulnerabilities in open-source software raise the question of whether governments can trust open source. This article discusses the issue based on the Prisoner’s Dilemma.

Within the chaotic vortex stirred by the COVID-19 pandemic, a beacon of innovation has shone brightly: hackathons. These collaborative, high-energy events have transformed into dynamic hotbeds of creativity, attracting thousands and rapidly fostering ...

The supply chain (SC) comprises all the vital stages a product goes through to its final destination, forming a value chain. In this article, our primary focus is on integrating Internet of Things, artificial intelligence, and blockchain technology to ...

The IEEE Standards Association initiated a program to develop criteria to evaluate artificial intelligence (AI) systems’ emerging ethical properties. The accelerating advancement in AI technologies necessitated a review to stay in step with global changes ...