Communications of the ACM
From ACM Opinion
AI and ML Observability
Andy Dang, head of Engineering at WhyLabs, discusses observability and data ops for AI/ML applications and how that differs from traditional observability.
From ACM Opinion
'We All Have A Part to Play in Fixing the Digital Skills Shortage'
Naomi Timperley, co-founder of Tech North Advocates and of GSI, talks about her work with tech startups, scaleups, and tomorrow's entrepreneurs.
From ACM Opinion
Open-Endedness and Evolution through Large Models
A conversation with Joel Lehman, machine-learning scientist formerly of OpenAI and Uber AI Labs.
From ACM Opinion
Designing to Avoid Worst-Case Outcomes
Interaction designer Jonathan Shariat discusses harmful software design.
From ACM Opinion
The Pope's AI Adviser on Ensuring Algorithms Respect Human Dignity
Franciscan monk Paolo Benanti is the brains behind the Rome Call, a pact aimed at making sure AI is developed with ethics in mind.
From ACM Opinion
Linguistics and the Development of NLP
An interview with Christopher Manning, director of the Stanford University AI Lab and an associate director of Stanford's Human-Centered Artificial Intelligence...
From ACM Opinion
Calling Out the 'Toxic Culture' of Computer Science
Berkeley Professor Emeritus Edward Lee tells why he chastised the rejection culture at computer science conferences.
From ACM Opinion
I Was There When: AI Helped Create a Vaccine
An interview with Dave Johnson, chief data and artificial intelligence officer at Moderna.
From ACM Opinion
The AI Researcher Giving Her Field Its Bitter Medicine
Anima Anandkumar wants computer scientists to move beyond the matrix, among other challenges.
From ACM Opinion
Supercomputer Emulator: AI's New Role in Science
Chris Bishop, Microsoft's head of AI4Science, sees machine learning partially supplanting simulation.
From ACM Opinion
'The New Generation of Computer Scientist Wants to Benefit Society'
Professor Jim Kurose discusses the type of science computing researchers are focusing on and the future of the field.
From ACM Opinion
Interpretable Machine Learning
A conversation with Been Kim, staff research scientist at Google Brain.
From ACM Opinion
The Computer Scientist Challenging AI to Learn Better
Christopher Kanan is building algorithms that can continuously learn over time—the way people do.
From ACM Opinion
How to Solve AI's 'Common-Sense' Problem
AI systems without common sense will make mistakes when they reach the limits of where they've been trained.
From ACM Opinion
Democratizing LLMs Needs a Revolution in AI Hardware
Hardware barriers must be overcome to make LLMs available to a broader audience.
From Communications of the ACM
An Interview with Dana Scott
ACM Fellow and A.M. Turing Award recipient Dana Scott reflects on his career.
From ACM Opinion
Matthew Ball on the Metaverse
Leading metaverse theorist shares his thoughts on the sudden rise of the concept, its utility for the enterprise, and what we still get wrong.
From ACM Opinion
Software Engineering Lessons
Software engineer, consultant, and author Karl Wiegers discusses specific practices based on his 50 years of experience in the industry.
From ACM Opinion