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Measuring GitHub Copilot's impact on productivity: Communications of the ACM
Artificial intelligence (AI)-powered coding assistants are transforming how developers write, debug, and optimize code. Leveraging machine learning and natural language processing (NLP), these tools offer real-time suggestions and autocomplete code, detect errors, and even... more
Software Development (K.6.3...) | Mar 7 25
Variational inference based adversarial domain adaptation: Pattern Analysis & Applications
Zonoozi et al. present a novel approach to unsupervised domain adaptation by integrating variational autoencoders (VAEs) with adversarial learning. Their proposed model... more
Learning (I.2.6) | Mar 4 25
ChatGPT is bullshit: Ethics and Information Technology
As people around the world understand how large language models (LLMs) behave, more and more of us wonder why these models “hallucinate”--and what can be done to reduce it. Hicks et al.’s provocatively named paper is an excellent primer for understanding... more
Ethics (K.4.1...) | Feb 25 25
A disruptive research playbook for studying disruptive innovations: ACM Transactions on Software Engineering and Methodology
This paper introduces a novel tool, useful for high-level analysis of innovation in software engineering and long-term impacts on the software engineering community. The authors call it a “playbook” to distinguish it... more
Methodologies (D.2.1...) | Feb 20 25
Diversity, equity, and inclusion in artificial intelligence: an evaluation of guidelines: Applied Artificial Intelligence
In her book The age of surveillance capitalism [1], Shoshana Zuboff asks: “Are we all going to be working for a smart machine, or will we have smart people around the machine?”
This is an equal opportunity review... more
Artificial Intelligence (I.2) | Feb 19 25
Knowledge editing for large language models: a survey: ACM Computing Surveys
Wang et al. provide a comprehensive survey on knowledge-based model editing (KME) techniques, focusing on methods to efficiently and precisely update large language models (LLMs) without negatively impacting unrelated knowledge. The paper... more
Language Models (I.2.7...) | Feb 18 25
Embodied and dialogical basis for understanding humans with information: a sustainable view: JASIST
Anna Suorsa’s paper explores human-information interactions (HIIs) through hermeneutic phenomenology, emphasizing embodiment, dialogicality, and temporality. Drawing from Alfred Schutz’s The phenomenology of the social world and Merleau... more
Computers & Society (K.4) | Feb 10 25
AI should challenge, not obey: Communications of the ACM
As artificial intelligence (AI) continues to revolutionize how we learn and work, Sarkar questions whether the way we are leveraging AI as an assistant that efficiently completes tasks is the right one. In this article, Sarkar argues for AI’s... more
Ethics (K.4.1...) | Feb 5 25
Mapping the ethics of generative AI: a comprehensive scoping review: Minds and Machines
The advent of generative artificial intelligence (GenAI) has seen much debate in academic and professional circles of late, as well as significant hype in public media and heated discussion on social media. Much of this attention has been negative and focused on its... more
Ethics (K.4.1...) | Feb 4 25
Weighted synchronous automata: Mathematical Structures in Computer Science
The theory of finite automata (FA) is extensively studied, while Zadeh’s sets and fuzzy logic address real-world scenarios. This paper formalizes fuzzy automata’s behavior in dealing with uncertainty and vagueness inherent to computational problems. It assigns... more
Mathematics of Computing (G) | Feb 3 25
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Architecting data and machine learning platforms: enable analytics and AI-driven innovation in the cloud
Cloud computing offers several advantages for businesses. In the age of energy savings and green information technology (IT), organizations are following the trend of implementing positive green IT and eco-design by redesigning... more
Business (J.1...) | Mar 14 25
Introduction to data science in biostatistics: using R, the tidyverse ecosystem, and APIs
When thinking about data science and biostatistics, it is reasonably certain that the statistical programming language R will be included as one of the most important tools. In this problem space, one can think of R as present in a couple of ways: as the base... more
Biology & Genetics (J.3...) | Mar 13 25
Fusion strategy: how real-time data and AI will power the industrial future
Fusion strategy: how real-time data and AI will power the industrial future ends with a question and a challenge. How can businesses transform themselves by taking advantage of the power of digital technology, and what could it mean for the discipline of management... more
Real Time (J.7...) | Mar 12 25
Principles of verification: cycling the probabilistic landscape
This book is the second part of a three-volume Festschrift in honor of Joost-Pieter Katoen’s 60th birthday. The included papers pertain to probabilistic model checking using the theoretical achievements and computational tools that originated in his... more
Probabilistic Algorithms (G.3...) | Mar 11 25
Human + machine: reimagining work in the age of AI (updated and expanded)
In the words of physicist David Bohm: “Thought creates the world and then says, ‘I didn’t do it.’”
Recently I asked a colleague to review an artificial intelligence (AI)-generated welcome message for a course I’m refreshing, hoping to determine whether it made... more
Business (J.1...) | Mar 10 25
Supportive smart homes: their role in aging in place
What is the role of supportive smart homes for “aging in place”? Supportive smart homes utilize AgeTech technology, including networks of sensors, devices, and systems, to address the needs of older adults [1].
This book has six substantial coauthors with... more
General (K.4.0) | Mar 6 25
Machine learning evaluation: towards reliable and responsible AI
Machine learning is a powerful set of technical tools that is becoming easy to implement--perhaps too easy. Machine learning evaluation forces the reader to think beyond layers and hyperparameters and consider questions like: How well does the model work?... more
General (I.2.0) | Mar 5 25
The Cambridge handbook of computational cognitive sciences (2nd ed.)
This volume is a revision and expansion of the editor’s 2008 Cambridge handbook of computational psychology [1]. Like that volume, it consists of a series of survey articles (38 in this incarnation, compared with 26 in the previous edition), each exploring a particular... more
Social & Behavioral Sciences (J.4) | Mar 3 25
Introduction to digital humanism: a textbook
Introduction to digital humanism offers a comprehensive and interdisciplinary look at the rapidly evolving field of digital humanism. Based on the 2019 Vienna Manifesto, the textbook explores the intricate relationship between technology and human society, emphasizing the need for human-centric digital advancements that... more
Social & Behavioral Sciences (J.4) | Feb 28 25
Software architecture and decision-making: leveraging leadership, technology, and product management to build great products
Software is ubiquitous in today’s society, providing enhanced functionality to our daily lives. Software architecture as a core tool to develop high-quality software on time and meeting... more
Software Architectures (D.2.11) | Feb 26 25
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