Communications of the ACM
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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
What to Expect When You're Expecting ... GPT-4
What comes after ChatGPT? Seven predictions for 2023.
From BLOG@CACM
Inorganic Growth In Tech: Getting Shredded with Acquisitions
Acquisitions happen quite often in the tech industry and are far more complicated to pull off successfully than popping a pill.
From BLOG@CACM
AI's Jurassic Park Moment
New systems like chatGPT are enormously entertaining, and even mind-boggling, but also unreliable, and potentially dangerous.
From BLOG@CACM
What Does Meta AI's Diplomacy-Winning Cicero Mean for AI?
Hint: It's not all about scaling.
From BLOG@CACM
Reflections on the AI Bill of Rights Blueprint
The White House Office of Science and Technology Policy has released a "Blueprint for an AI Bill of Rights." I reflect on this milestone document in the context...
From BLOG@CACM
Fair AI Practices
A new technology, broadly deployed, raises profound questions about its impact on American society.
From BLOG@CACM
Four Conversations About Human-Centric AI
I discuss the different conversations, their limits, and what we really need to be talking about.
From BLOG@CACM
New Research Vindicates Fodor and Pylyshyn: No Explainable AI Without 'Structured Semantics'
In this short article, we generalize recent research results that clearly make the point that "there can be no explanation without semantics."
From BLOG@CACM
On the Ethics of Writing With AIs
AI-generated text, even if accepted from an ethical standpoint, raises questions about the provenance of the generated text.
From BLOG@CACM
Communing on Computing
Conferences can renew our professional commitment and inspire thought on problems we face.
From BLOG@CACM
AI as (an Ersatz) Natural Science?
The emergence of large learned models is changing the nature of artificial intelligence research in fundamental ways.
From BLOG@CACM
Machine Learning: Out! Data Science: In!
We propose to stop teaching machine learning courses to populations whose core discipline is neither computer science nor mathematics and statistics.
From BLOG@CACM
Students Speak to Ethical Issues
What are the concerns of students after study of computer ethics?
From BLOG@CACM