Communications of the ACM
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From BLOG@CACM
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...
From BLOG@CACM
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...
From BLOG@CACM
The Interdisciplinarity of Data Science from the Perspective of the MERge Model
Where should management be located in the data science Venn diagram?
From BLOG@CACM
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.
From BLOG@CACM
Face It, Self-Driving Cars Still Haven't Earned Their Stripes
Edge cases remain a serious, unsolved problem, $100 billion later.
From BLOG@CACM
What If Generative AI Turned Out to be a Dud?
Some possible economic and geopolitical implications.
From BLOG@CACM
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...
From BLOG@CACM
Machine Learning: the Road to Artificial Intelligence?
In the mid-1990s, data-driven, statistical, and empirical methods have taken the field of artificial intelligence (AI) by storm. In the last two decades, machine...
From BLOG@CACM
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.
From BLOG@CACM
ChatGPT in Computer Science Education: Freshmen's Perceptions
Exploring freshmen's conceptions of the impact of ChatGPT on computer science education.
From BLOG@CACM
Automated Tests Are the Safety Net
Automated testing in software development significantly diminishes routine work and saves time, allowing programmers to work more effectively.
From BLOG@CACM
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...
From BLOG@CACM
Bigger than a Blackbox
When we ask how deep learning works, are we asking which node represents the answer to "animal, vegetable, or mineral?"
From BLOG@CACM
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.
From BLOG@CACM
Is Bard Better than ChatGPT?
A test should show whether Bard is more powerful than ChattGPT or AI-powered Microsoft Bing.
From BLOG@CACM
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...
From BLOG@CACM