Ethics and Equity in AI for Collaborative Learning
In designing collaborative learning, design AI features using realistic examples of students’ learning; support teachers' awareness; develop students' sense of belonging.
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How Soon Will AI Start Firing Programmers?
Robots will likely revolutionize software engineering ranging from code reviews and bug fixing to automated refactoring, backlog prioritization, and employee appraisals.
A Year Embedded in the Crypto-NFT Space
Carlos Baquero investigates cryptocurrencies and non-fungible tokens.
The Interdisciplinarity of Data Science from the Perspective of the MERge Model
Where should management be located in the data science Venn diagram?
Everything. Everywhere. All at Once: AI Policy When Congress Returns
Here is a quick take on what to look for in Washington and on the broader AI Policy landscape when Congress returns in September.
Face It, Self-Driving Cars Still Haven’t Earned Their Stripes
Edge cases remain a serious, unsolved problem, $100 billion later.
Duped No More: Navigating the Maze of Social Engineering Schemes
The best way to guard against becoming a target of social engineering is to familiarize yourself with the strategies, psychological hooks, and technological means that attackers employ.
Machine Learning: The Road to Artificial Intelligence?
Machine learning, as it is practiced, has little, if anything to do with AI and the more encompassing endeavor that we call Cognitive Science.
Federated Learning: How Private Is It Really?
Just when it looks like Federated Learning is able to keep local data private, out comes a study to deflate us.
ChatGPT in Computer Science Education: Freshmen’s Perceptions
Exploring freshmen's conceptions of the impact of ChatGPT on computer science education.
Automated Tests Are the Safety Net
Automated testing in software development significantly diminishes routine work and saves time, allowing programmers to work more effectively.
Teaching the FATE Community about Privacy
Jason Hong finds many similarities between FATE (Fairness, Accountability, Transparency, Ethics) and privacy.
Stop Judging AI Using Human Exams
Computer scientists should inform the public that human tests are not a valid way to judge the quality of an AI model, nor a good way to compare AI models to human experts. Computer scientists should stop using human tests to measure AI.
When we ask how deep learning works, are we asking which node represents the answer to "animal, vegetable, or mineral?"
The Dissemination Game: Incentives of In-Person vs Virtual Participation
Incentives are changing the effectiveness of computer science conferences, but perhaps better conference design can improve them.
A test should show whether Bard is more powerful than ChattGPT or AI-powered Microsoft Bing.
An Organizational Perspective on the Process of Adopting Executable Exams
We analyze the organizational change that took place at the Technion when the assessment method in the CS1 course changed from paper-based exams to executable exams.
Lessons from PL/I: A Most Ambitious Programming Language
PL/I stands for Programming Language 1, and its aim was to be the Highlander of programming languages.
VOT Challenge: Computer Vision Competition
VOT Challenge is one of the outstanding competitions in computer vision. At the end of this important event this year, I would like to share my opinions about this competition.
ChatGPT Invents a Lot of Nonsense
I asked ChatGPT who wrote the book "Meilensteine der Rechentechnik." The program returns many different answers, all wrong.
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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