Communications of the ACM
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From BLOG@CACM
That Was The Week That Was
The last week of October in the year 2023 may be remembered as the week when lawmakers made a real effort to outpace technology.
From BLOG@CACM
All Photos are Fake Until Proven Real
The blurred lines of photographic reality in the AI Era.
From BLOG@CACM
Let's Be Objective about Large Language Models
Objective evaluation of the linguistic competency of large language models (LLMs) is of paramount importance as we start contemplating the use of this technology...
From BLOG@CACM
Chat Generative Pre-trained... Testimony
Questions about testimony as a means of knowledge acquisition may apply to AI chatbots.
From BLOG@CACM
ChatGPT (and Other Generative AI Applications) as a Disruptive Technology for Computer Science Education: Obsolescence or Reinvention
Generative AI may turn out to be disruptive technologies for computer science education, but generative AI can also be conceived of as an opportunity for computer...
From BLOG@CACM
Can LLMs Really Reason and Plan?
Nothing in the training and use of LLMs would seem to suggest remotely that they can do any type of principled reasoning.
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
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
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
ChatGPT in Computer Science Education: Freshmen's Perceptions
Exploring freshmen's conceptions of the impact of ChatGPT on computer science education.
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
Is Bard Better than ChatGPT?
A test should show whether Bard is more powerful than ChattGPT or AI-powered Microsoft Bing.
From BLOG@CACM
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...
From BLOG@CACM