 |
 |
 |
 |
 |
Generative AI as economic agents: ACM SIGecom Exchanges

Generative artificial intelligence (GenAI) isn’t just a tool. In fact, it’s starting to look like a main player in economics. This paper argues that AI should be modeled as an agent, with its own information, preferences, and incentives, reshaping how economists think... more
Economics (J.4...) | Apr 15 26

Mapping the evolution of data governance scientific research: Data & Policy

Simply put, data governance is the management of information within an organization to ensure it is accurate, secure, and available. Over the past few decades, organizations have begun to increasingly focus on the inherent... more
General (K.6.0) | Apr 13 26

Shaping AI’s impact on billions of lives: Communications of the ACM

As artificial intelligence (AI) systems continue to move into everyday decision-making, questions of governance, reliability, and real-world use become just as important as technical capability. This article takes a broad look at how AI might be shaped for the... more
General (K.4.0) | Apr 10 26

Healthcare agent: eliciting the power of large language models for medical consultation: npj Artificial Intelligence

The design of a reliable healthcare agent for solving diverse, intertwined healthcare issues is thought-provoking. How should an effective agent provide safe and quality responses to inquiries? Zhiyao et al. explore the potential of large language models (LLMs)... more
Health (J.3...) | Apr 3 26

Shaping AI’s impact on billions of lives: Communications of the ACM

Artificial intelligence (AI) discussion in the popular press is quite polarized--there are those that see only benefits, and those that see only doom. In this paper, Cuéllar et al. develop a nuanced take on AI’s impact, encouraging future AI research along lines that they believe... more
General (K.4.0) | Mar 26 26

Against imaginary friends: why digital companions are no solution to social isolation: Communications of the ACM

This provocative article debates the technological progress toward “digital humans” versus “digital companions.” The argument: less is more, but not necessarily good enough. Sparrow and Brown ask three provocative questions:
“Should we reduce... more
General (K.4.0) | Mar 20 26

Search as learning: Foundations and Trends in Information Retrieval

The authors have compiled an extensive survey of prior work in the field of search as learning (SAL) and offer a prospective outline of future progress. Information retrieval (IR) has hosted learning as a subject for many years. The SAL research community sprang from three... more
General (I.2.0) | Feb 23 26

“I felt listened to”: evaluating an AI-powered reflection tool for care partners: ACM Transactions on Accessible Computing

This paper raises an important question: “Why do you need a robot for that?” [1].
Harry is why:
“Harry’s health has been deteriorating over the last six months, and he is now unable to do the activities he enjoys. Previously, when Harry was well, he visited his... more
Assistive Technologies (K.4.2...) | Feb 16 26

A future-oriented approach to the selection of artificial intelligence technologies for knowledge platforms: JASIST

This paper addresses the problem of selecting artificial intelligence (AI) technologies for knowledge platforms using a forward-looking, structured decision framework. The focus on long-term relevance and sustainability is timely and appropriate. The authors employ a... more
General (I.2.0) | Feb 11 26

Fifty years of open source software supply-chain security: Communications of the ACM

Commercial software developers typically use specialized tools to ensure that their software is developed securely and largely fault free--although the regular release of security patches by some large organizations suggests considerable room for... more
Security & Protection (K.6.5) | Feb 4 26

|
 |
|
 |
 |
 |
 |
 |
 |
Data science and machine learning: mathematical and statistical methods (2nd ed.)

The authors’ intention is to provide a comprehensive handbook on data science and machine learning for anyone interested in the mathematical foundations of relevant algorithms. This book is designed for those who do not want to focus solely on tuning hyperparameters... more
General (G.0) | Apr 17 26

Computational modelling of robot personhood and relationality

If humans and robots were able to roam around the same spaces, mutually recognizing each other for what they are, how would those interactions go? How can we model such interactions in a way that we can reason about and understand the implications of a given behavior? This book aims to answer this... more
Modeling (H.5.5...) | Apr 6 26

Digital theory

Digital theory is a concise yet conceptually dense exploration of the philosophical foundations of digitality and the forms of thought, representation, and experience that emerge from computational systems. At 120 pages, the book opts for precision rather than breadth, presenting a tightly argued set of reflections on... more
General (K.4.0) | Mar 30 26

Artificial intelligence for virtual reality

This book delves into the intersection of virtual reality (VR) and artificial intelligence (AI), including their applications, particularly in healthcare. It offers a broad overview of these technologies, their current state, and future potential. The chapter titles suggest a focus on practical applications and emerging trends. The... more
Artificial & Virtual Realities (H.5.1...) | Mar 23 26

Tiny machine learning quickstart: machine learning for Arduino microcontrollers

Tiny machine learning quickstart by Salvatore Salerno is a practical and approachable introduction to deploying machine learning (ML) models on resource-constrained embedded devices. Published by Apress in 2025, the book aligns with the growing interest in TinyML--an emerging area that brings inference capabilities... more
Learning (I.2.6) | Mar 16 26

In robots we trust

Ann Lauterbach asks in her poem “Logistics” [1]: “What are we to know?”
In robots we trust is about humans and robots, with a specific focus on human-robot interaction (HRI). It is divided into four parts--“Intelligent Machines,” “Humans Trusting Robots,” “Robots Trusting Humans,” and “Trust in the... more
Philosophical Foundations (I.2.0...) | Mar 11 26

The ethics of artificial intelligence in defence

This comprehensive and methodical volume, the groundwork for “[an] ethics of artificial intelligence (AI) in defense,” presents a critically important and structured inquiry into one of the most pressing technological and ethical challenges of our time. The work systematically dissects the ethical... more
Ethics (K.4.1...) | Mar 9 26

Quantum computing for the brain

Have you ever wondered why the human brain correctly distinguishes between a flute and a piano yet our measures of timbre (quality of sound) are not foolproof, that is, they are more sensitive to pitch and less to timbre? It is because the brain already knows how a flute or a piano sounds, and it then performs a... more
Life & Medical Sciences (J.3) | Mar 6 26

Just enough data science and machine learning: essential tools and techniques

As its title suggests, this book aims to provide readers with a concise yet foundational introduction to data science and machine learning. The authors successfully outline the essential concepts of both fields, highlighting data science as an interdisciplinary domain... more
Learning (I.2.6) | Mar 4 26

Digital authoritarianism in the making: repression and resistance on the Russian Internet

Digital authoritarianism in the making presents a detailed examination of Russia’s evolving digital landscape, where state control, platform governance, and grassroots resistance intersect in complex ways. Rather than offering a broad survey of global digital... more
Government (J.1...) | Mar 2 26

|
 |
|