Inherent Limitations of AI Fairness
AI fairness should not be considered a panacea: It may have the potential to make society more fair than ever, but it needs critical thought and outside help to make it happen.
Artificial Intelligence and Machine Learning
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Shortcut Learning of Large Language Models in Natural Language Understanding
Shortcuts often hinder the robustness of large language models.
Bigger, Not Necessarily Better
The inverse scaling issue means larger LLMs sometimes handle things less well.
There Was No ‘First AI Winter’
Despite challenges and failures, the artificial intelligence community grew steadily during the 1970s.
Comparing Chatbots Trained In Different Languages
Antony Chayka and Andrei Sukhov examine how training chatbots in English or Russian affects their responses.
Multimodal AI Connects the Digital Dots
By knitting together multiple components and data streams, multimodal AI offers the promise of smarter, more human-like systems.
Seeking to explain the unanticipated abilities of large language models.
AIrtist: Co-creativity and Computer-Human Collaboration in the Arts
Far from being threatened by artificial intelligence, many creative practitioners are already embracing it—with some novel and unexpected results.
The last week of October in the year 2023 may be remembered as the week when lawmakers made a real effort to outpace technology.
All Photos are Fake Until Proven Real
The blurred lines of photographic reality in the AI Era.
Let’s Be Objective about Large Language Models
Credit: Walid S. SabaCreated using Generative AI Tools 1. Large Language Models: The End of History? Since the advent of the transformer and attention mechanisms [1] large language models (LLMs) have been all the rage, not only in the artificial intelligence (AI) community but in all of science and technology and even in business and […]
The phrase “free as the wind” may be accurate in the philosophical sense, but in the physical world, wind is not always free; it presents opportunities and costs. Accurately predicting the wind comes with real economic and humanitarian consequences, at both the macro- and micro-climate levels. Often, the causes and effects between large-scale and small-scale […]
Laureates Look Past the Hype in Generative AI
When ChatGPT was released less than a year ago, it seemed to mark a turning point for artificial intelligence (AI). The chatbot created by OpenAI made headlines due to its sophisticated and human-like text conversations made possible by generative AI—algorithms that learn patterns from the data on which they are trained to produce output with […]
Gary Marcus considers it appropriate that governments are stepping up on artificial intelligence, but finds some of the resulting signals deeply worrisome.
Generative AI as a New Innovation Platform
Considering the stability and longevity of a potential new foundational technology.
Shape the Future of Computing
ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.
Get InvolvedCommunications of the ACM (CACM) is now a fully Open Access publication.
By opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.
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