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 ACM Opinion
The Brutal Truth About Bitcoin
Are cryptocurrencies the wave of the future and should you be using and investing in them?
From ACM Opinion
As Science Advances, Does Ockham's Razor Still Apply?
The notion that the simpler explanation is usually right has been useful for centuries. New science may change that.
From ACM Opinion
What Makes Quantum Computing So Hard to Explain?
To understand what quantum computers can do—and what they can’t—avoid falling for overly simple explanations.
From ACM Opinion
Reward Is Enough for Generalized AI
The generic objective of maximizing reward is enough to drive behavior that exhibits most abilities studied in natural and artificial intelligence.
From ACM Opinion
Machine Learning Security Needs New Perspectives and Incentives
Researchers and developers racing to make deep learning available to different applications need to actively seek out and address security challenges before they...
From ACM Opinion
A Number Theorist Who Connects Math to Other Creative Pursuits
Jordan Ellenberg calls on mathematics to explore everything from Internet fads to voting rights.
From ACM Opinion
Theorists and Experimentalists Must Join Forces
Collaborations between theorists and experimentalists are crucial for accelerating research.
From ACM Opinion
For Companies That Use ML, Labeled Data Is the Key Differentiator
Any company that is considering using machine learning cannot overlook one technical choice: supervised or unsupervised learning.
From ACM Opinion
Should Alexa Read Our Moods?
Companies should be barred from analyzing what people say and how they sound to recommend products or personalize advertising messages.
From Communications of the ACM
Collusion Rings Threaten the Integrity of Computer Science Research
Experiences discovering attempts to subvert the peer-review process.
From Communications of the ACM
Aversion to Versions
Code needs to run anywhere as long as the necessary dependencies can be resolved.
From Communications of the ACM
The Risks of Election Believability (or Lack Thereof)
With 90% of the 2020 U.S. general election ballot contents verifiable by paper, why do only 65% of voters trust the results?
From ACM Opinion
Defining a Role for AI Ethics in National Security
Mariarosaria Taddeo, an associate professor and senior research fellow at the Oxford Internet Institute and Dstl Ethics Fellow at the Alan Turing Institute, discusses...
From ACM Opinion
Charlie Marcus Knows That Quantum Facts Aren't Complicated
The secret to making a qubit for future quantum computers might depend on knowing how to tie knots in unusual materials, argues quantum physicist Charlie Marcus...
From ACM Opinion
Understanding the Differences Between Biological and Computer Vision
Harvard Medical University Professor Gabriel Kreiman provides an account of how humans and animals process visual data and how far techno come toward replicating...
From ACM Opinion
Quantifying Uncertainty in Deep Learning
Aalto University Professor Arno Solin discusses how to improve deep learning uncertainty with doctoral student Lassi Meronen.
From ACM Opinion
Cooperative AI: Machines Must Learn to Find Common Ground
To help humanity solve fundamental problems of cooperation, scientists need to reconceive artificial intelligence as deeply social.
From ACM Opinion
Professor Advocates Taking AI Research Back to Its Roots
To build a general artificial intelligence, we may need to know more about our own minds, argues computer scientist Melanie Mitchell.
From ACM Opinion
AI Drives Crossword-Solving Program to Tournament Victory
Plagued by unifinished crossword puzzles? Matt Ginsberg, a pro crossword writer and AI scientist, wrote a program that solves crosswords.
From ACM Opinion