Communications of the ACM
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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…
From BLOG@CACM
A Turning Point for U.S. AI Policy: Senate Explores Solutions
Preparing for the proliferation of Artificial Intelligence.
From BLOG@CACM
Scientists, Governments, and Corporations Urgently Need to Work Together to Mitigate AI Risk
"It is hard to see how you can prevent the bad actors from using it for bad things"—but we must try.
From BLOG@CACM
ChatGPT Helps or Hurts our Cybersecurity?
The specter is that when fully mature, this technology would be able to generate undetectable attacks and the defenders will be constantly fighting these fires....
From BLOG@CACM
What Can the FATE Community Learn from the Successes and Failures in Privacy?
There are many similarities between FATE (Fairness, Accountability, Transparency, Ethics) and privacy, and I believe that there are a lot of lessons that the FATE...
From BLOG@CACM
Automatic Language Translation Still Unsatisfactory
Google Translate and DeepL Translate still have trouble recognizing the second person singular and plural and the polite form, even in very simple sentences.
From BLOG@CACM
The Sparks of AGI? Or the End of Science?
Marching into the future with an obstructed view.
From BLOG@CACM
Artificial Intelligence Without Real Intelligence?
Do the programs understand what they write?
From BLOG@CACM
AI in the Public Interest: Education and Democracy
Now is a critical time to vigorously pursue public interests in education and to avoid a slippery slide into yielding public governance to an entirely private market...
From BLOG@CACM
GPT-4's Successes, and GPT-4's Failures
How GPT-4 fits into the larger tapestry of the quest for artificial general intelligence.
From BLOG@CACM
Enabling AI Projects In An Enterprise
Identifying the development behaviors that have the highest chance of success for artificial intelligence efforts.
From BLOG@CACM
How Not to Test GPT-3
Why doing psychology on large language models is harder than you might think.
From BLOG@CACM
Why *is* Bing So Reckless?
And how did some prominent journalists utterly miss this initially?
From BLOG@CACM
Using GitHub CoPilot is Like Having a Superpower
With the advent of Large Language Models (LLMs) and tools like GitHub CoPilot, I think we’re a step closer towards a world where software can be created by anyone...
From BLOG@CACM
ChatGPT for Provost!
Three to five years from now, we won’t be talking about what ChatGPT can or can’t do, but we could be talking about how ChatGPT brought us all together, and the...
From BLOG@CACM
ChatGPT in Computer Science Education
Asked "How will ChatGPT influence computer science education?" teachers barely addressed the threats it poses.
From BLOG@CACM
Large Language Models like ChatGPT say The Darnedest Things
ChatGPT makes the same kinds of mistakes its predecessors did. What can and should we do about it?
From BLOG@CACM
The ChatAlgebra Educational Revolution
We need a ChatAlgebra revolution to reduce the gatekeeping role of the traditional Algebra course, to ameliorate the student suffering associated with the traditional...
From BLOG@CACM