Agentic artificial intelligence (AI) represents a transformative leap in AI, evolving beyond reactive systems to autonomous, goal-oriented agents capable of learning, adapting, and making independent decisions. As it presents immense opportunities, its adoption is growing across industries. However, its rise introduces critical challenges. Responsible adoption requires robust governance, transparency, and a well-defined regulatory framework. This article explores agentic AI’s defining characteristics, real-world applications, and transformative potential, and examines its societal and business implications. To shape agentic AI as a trusted, transformative force for responsible innovation and meaningful progress, we propose research directions and offer stakeholder recommendations.

Large language models (LLMs), such as ChatGPT and now GPT4, are considered a significant breakthrough in conversational artificial intelligence. Academic institutions have varying responses to LLMs in education, some banning LLMs and others encouraging them.

While we applaud the promise and value of generative artificial intelligence and Chat Generative Pretrained Transformer–like tools, leveraging their potential and values heavily depends on what we use them for and how, while also acknowledging and addressing their limits, limitations, and concerns.

AI is both good and bad for cybersecurity defenders—and for adversaries. This article outlines the nexus between AI and cybersecurity and explores how artificial intelligence (AI) can enhance information systems security. It discusses how threat actors also could use AI to create sophisticated attacks that evade detection, and how AI could become a victim of new sophisticated cyberattacks.

The Turing test, proposed by Alan Turing in 1950, is the most iconic concept in artificial intelligence (AI). This article commemorates 75 years of the Turing test by exploring its origins, significance, and evolving relevance in the age of modern AI. It also highlights the Turing test’s legacy and discusses its multifaceted impact on AI’s evolution and future prospects. Despite its limitations, the Turing test remains a cornerstone of philosophical thought, and a foundational tool for discussing and researching AI, an idea envisioned 75 years ago—long before the field of AI had begun to take shape.

To secure information systems and protect vital national and global infrastructure, IT professionals need to understand key elements of national cybersecurity strategies and their impact and coordinate their efforts at local, national, and global levels.