Communications of the ACM
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
We've Got Misinformation All Wrong
We must accept that misinformation is not one problem, but a whole set of problems.
From ACM Opinion
Democratization of AI Could Prevent the Great Resignation
To guard against the effect of the Great Resignation, enterprises need to reassess their training programs.
From ACM Opinion
AI Needs Pragmatists and Blue-Sky Visionaries
For humanity's brightest future, the blue-sky, lofty thinkers in AI need the help of the muddy-boots pragmatists.
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
How AI Could Accidentally Extinguish Humankind
Humanity is not prepared for artificial superintelligence right now.
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
Blowing Up the Internet...to Protect Kids Online
Framed as a bill to protect kids online, the California Age Appropriate Design Code Act would radically reshape the Internet—and harm both kids and adults.
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 News
We Need to Talk About How Good AI Is Getting
We are in a golden age of progress in artificial intelligence, and it is time to start taking its potential and risks seriously.
From ACM Opinion
Software Can Do Better than 'Male,' 'Female,' and 'Other'
Providing more-expansive gender options is not a difficult coding problem.
From ACM Opinion
Interpretable Machine Learning
A conversation with Been Kim, staff research scientist at Google Brain.
From Communications of the ACM
On the Model of Computation: Counterpoint: Parallel Programming Wall and Multicore Software Spiral: Denial Hence Crisis
Parallel programming wall and multicore software spiral: Denial hence crisis.
From Communications of the ACM
On the Model of Computation: Point: We Must Extend Our Model of Computation to Account for Cost and Location
We must extend our model of computation to account for cost and location.
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
Can Neural Networks Learn Better than Human Neurons?
When AI programmers stop trying to copy the human neuron, neural networks make much better progress.
From ACM Opinion
