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
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
Your Job Can Be Done Better By My Algorithm
In our rarefied world of university teaching and learning, which jobs can be replaced by algorithms?
From BLOG@CACM
Superhero Secret Identities Aren't Possible with Today's Computing Technologies
In comic books, most superheroes have a secret identity, usually to protect their friends and family from retribution. However, today’s computer technology would...
From BLOG@CACM
Experiencing Loops in Time
We don't experience program loops as blocks, started over, because time is one-way.
From BLOG@CACM
AI Education for Teens: Lifting the Hood on Data and Machine Learning
What are key ideas and intuitions foundational to AI that AI education in secondary schools should target? This blog post describes our approach to teaching AI...
From BLOG@CACM
Safe AI in Education Needs You
Artificial intelligence is coming to your learners and will raise challenging issues that need experts like you. Learn how you can get involved in AI and Educational...
From BLOG@CACM