The biggest problem that computing faces today is not that AI technology is unethical, but that AI technology is used by large and powerful corporations to support a business model that is, arguably, unethical.
DEPARTMENT: Letters to the editor
The January 2022 Editor-in-Chief's column "Is the Global Computing Community Irrevocably Divided?" raises an important question. From a computing perspective, it is difficult to attempt a complete answer, let alone a solution …
Carlos Baquero offers guidance on how to decide where to publish one's paper.
Specialized hardware to boost the speed of machine learning also saves energy.
Researchers look for new insights in the world of hypergraphs.
DEPARTMENT: Career paths in computing
You can build the best technology, but if it doesn't meet real needs, it becomes a misdirected effort. Human-Computer Interaction (HCI) helps ensure technologies are useful and usable.
Artificial intelligence may be an unstoppable force, but in the recruitment market it has met an immovable object: humans. Something has to give.
COLUMN: Legally speaking
How emulation programs might be affected by new claims of copyright infringement.
COLUMN: Computing ethics
Digital dreams have become nightmares: What we must do.
Exploring immersive theatre as a way to educate audiences and study their perceptions of privacy and technology ethics.
Considering the myriad perspectives of facial recognition technology.
Seeking to increase the interoperability among the technical and social sciences toward new forms of governance associated with digital technology.
A balloon's-eyeperspective on a unique distributed, time-critical, geo-location problem.
The future depends on good HCI.
The history of Berkeley DB.
SECTION: Contributed articles
Research shows that White, male, and younger engineers receive less pushback than those in other demographics.
Delphi study sets out to identify essential cognitive, interpersonal, and intrapersonal competencies needed for success in data analytics.
Needed improvements to mobile broadband deployment require more accurate mapping of mobile coverage, especially in rural and tribal areas.
SECTION: Review articles
Given the complexity of data science projects and related demand for human expertise, automation has the potential to transform the data science process.
SECTION: Research highlights
"Toward Systematic Architectural Design of Near-Term Trapped Ion Quantum Computers" presents a study on scaling trapped-ion quantum architectures, and challenges the conventional wisdom of experimentalists in the field.
"Here We Go Again: Why Is It Difficult for Developers to Learn Another Programming Language?" by Shrestha et al. provides insight into the difficulty of learning new languages and suggests paths forward to addressing it.
Our findings demonstrate that interference is a widespread phenomenon, forcing programmers to adopt suboptimal, opportunistic learning strategies.
COLUMN: Last byte
Shyam Gollakota on the benefits of reducing the power consumption of communication and tapping ambient signals for electricity.
SECTION: Research highlights
Toward realizing QCCD-based trapped ion systems with 50-100 qubits, we perform an extensive application-driven architectural study evaluating the key design choices of trap sizing, communication topology, and operation implementation …