Communications of the ACM
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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
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