Trust, Regulation, and Human-in-the-Loop AI: within the European region
The trustworthiness of AI systems must be planned, rather than an afterthought.
Artificial Intelligence and Machine Learning
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Market Segmentation in the Emoji Era
A better understanding and use of unstructured data can improve customer loyalty and relationships for most organizations.
Digital Twins and Artificial Intelligence as Pillars of Personalized Learning Models
Personalized learning models can cut student dropout rates, boost student success, improve the integration of online and on-site students, better support teachers in mixed-teaching modalities, enhance accessibility, and more.
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
We propose Factual News Graph (FANG), a novel graphical social context representation and learning framework for fake news detection.
Technical Perspective: Leveraging Social Context for Fake News Detection
In "FANG," the authors focus on a strategy of automatically detecting disinformation campaigns on online media with a new graph-based, contextual technique for fake news detection.
Students Speak to Ethical Issues
What are the concerns of students after study of computer ethics?
Your Job Can Be Done Better By My Algorithm
In our rarefied world of university teaching and learning, which jobs can be replaced by algorithms?
Algorithmic Hiring Needs a Human Face
Artificial intelligence may be an unstoppable force, but in the recruitment market it has met an immovable object: humans. Something has to give.
Is a Privacy Crisis Experienced, a Privacy Crisis Avoided?
Exploring immersive theatre as a way to educate audiences and study their perceptions of privacy and technology ethics.
Given the complexity of data science projects and related demand for human expertise, automation has the potential to transform the data science process.
Digital Technology Fans Firefighting
New tools help firefighters identify the dynamics and characteristics of a fire—and respond more effectively.
Data, privacy, trust, and sustainability feature prominently as researchers look to the year ahead.
A focus on causality is promising to help researchers overcome shortcomings that have bedeviled more traditional approaches to artificial intelligence.
Artificial Intelligence, Machine Learning, and the Fight Against World Hunger
Advancements in AI, machine learning, and next-gen technologies are transforming the fight against world hunger.
How Topic Novelty Impacts the Effectiveness of News Veracity Interventions
Can algorithmic advice override preconceived notions and the believability of fake news?
Reimagining Chess with AlphaZero
AI is driving the next evolution of chess, giving players a glimpse into the game's future.
Abstractions, Their Algorithms, and Their Compilers
Jeffrey D. Ullman and Alfred V. Aho are recipients of the 2020 ACM A.M. Turing award. They were recognized for creating fundamental algorithms and theory underlying programming language implementation and for synthesizing these results and those of others in their highly influential books, which educated generations of computer scientists.
Worst-Case Topological Entropy and Minimal Data Rate for State Estimation of Switched Linear Systems
In this paper, we study the problem of estimating the state of a switched linear system when the observation of the system is subject to communication constraints.
Technical Perspective: Model Structure Takes Guesswork Out of State Estimation
"Worst-Case Topological Entropy and Minimal Data Rate for State Estimation of Switched Linear Systems" gives a method for computing the topological entropy of a broad class of systems called switched linear systems.
FBI agents Saskia Lipcott and Dinah Carter are forced to deal with Dupin, the agency's rogue crime-fighting computer that is out to get them.
Superhero Secret Identities Aren’t Possible with Today’s Computing Technologies
In comic books, most superheroes have a secret identity, usually to protect their friends and family from retribution. However, today’s computer technology would make it impossible for a superhero to maintain their secret identity. We look at a wide range of surveillance and tracking technologies, which have major implications for privacy and civil rights today.
Shape the Future of Computing
ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.
Get InvolvedCommunications of the ACM (CACM) is now a fully Open Access publication.
By opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.
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