Communications of the ACM
Generative AI Degrades Online Communities
How large language models are influencing online communities.
From Communications of the ACM
Can Machines Be in Language?
Large language models brought language to machines. Machines are not up to the challenge.
From Communications of the ACM
How the AI Boom Went Bust
Fallout from an exploding bubble of hype triggered the real AI Winter in the late 1980s.
From Communications of the ACM
Achievement in Microarchitecture
David Papworth, a 30-year veteran of Intel, on what led to the P6 microprocessor and how that changed the microarchitectural paradigm.
From Communications of the ACM
NVIDIA at the Center of the Generative AI Ecosystem – For Now
Assessing the ascent of NVIDIA.
From Communications of the ACM
Data Bias Management
Envisioning a unique approach toward bias and fairness research.
From ACM Opinion
Is AI Leading to a Reproducibility Crisis In Science?
Scientists worry that ill-informed use of artificial intelligence is driving a deluge of unreliable or useless research.
From Communications of the ACM
Thus Spake ChatGPT
On the reliability of AI-based chatbots for science communication.
From Communications of the ACM
Why Is the Current XAI Not Meeting the Expectations?
Seeking better explanations for how algorithmic decisions are made.
From Communications of the ACM
There Was No 'First AI Winter'
Despite challenges and failures, the artificial intelligence community grew steadily during the 1970s.
From Communications of the ACM
The Infrapolitics of Algorithmic Resistance
Exploring the complex interactions between humans and machines governed by algorithms.
From Communications of the ACM
Machine Learning Sensors
A design paradigm for the future of intelligent sensors.
From Communications of the ACM
Generative AI as a New Innovation Platform
Considering the stability and longevity of a potential new foundational technology.
From Communications of the ACM
Dilemma of the Artificial Intelligence Regulatory Landscape
Navigating the complex and varying AI regulatory landscape.
From Communications of the ACM
Fragility in AIs Using Artificial Neural Networks
Suggesting ways to reduce fragility in AI systems that include artificial neural networks.
From ACM Opinion
There Is Little Evidence for Today's AI Alarmism
Over time, we will have a much better sense of which AI areas require significant regulatory intervention and which do not.
From ACM Opinion
Who Should Make the Rules that Govern AI?
One question for Laura Weidinger and Iason Gabriel, research scientists at Google DeepMind.
From Communications of the ACM
Can Generative AI Bots Be Trusted?
It will be a long road to learning how to use generative AI wisely.
From Communications of the ACM
Conjoined Twins: Artificial Intelligence and the Invention of Computer Science
How artificial intelligence and computer science grew up together.
From ACM Careers