Communications of the ACM
Generative AI Degrades Online Communities
How large language models are influencing online communities.
From ACM Opinion
Getting More People With Disabilities Developing Technology Is Good for Everyone
It's not just a matter of fairness and inclusion. Accessible technology is generally better for everyone.
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
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
Depth and Persistence: What Researchers Need to Know About Impostor Syndrome
Understanding impostor syndrome's complexity and its effect on research persistence.
From Communications of the ACM
A Vision to Compute like Nature: Thermodynamically
Advocating a new, physically grounded, computational paradigm centered on thermodynamics and an emerging understanding of using thermodynamics to solve problems...
From Communications of the ACM
Locality and Professional Life
The locality principle extends beyond computer memories. It teaches us something about being human.
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
How to Be Responsible in AI Publication
A white paper from Partnership on AI advises on navigating the risks of AI research and responsible publication.
From ACM Opinion
Caution Ahead: Navigating Risks to Freedoms Posed by AI
NSCAI commissioners and PCLOB members urge a task force to examine the challenges of using AI systems across federal agencies.
From ACM Opinion
Data Scientists' Important Role in Defeating COVID Vaccine Skepticism
Without a basic understanding of data measures and how they're computed, data-driven vaccine safety and effectiveness messages can become meaningless sound bites...
From ACM Opinion
Can Machines Control Our Brains?
Advances in brain-computer interface technology are impressive, but not close to anything resembling mind control.
From ACM Opinion
'Clearly AI Is Going to Win'
Nobel-winning psychologist Daniel Kahneman discusses listening to science, avoiding system noise, and the inevitability of AI over human intelligence.
From ACM Opinion
European AI Needs Strategic Leadership, Not Overregulation
EU regulation of AI could limit the use cases and innovation and put the EU in a technologically inferior position globally.
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
Stop the Emerging AI Cold War
Proliferating military artificial intelligence will leave the world less safe—so we must focus on ethics and global cooperation, argues Denise Garcia, vice-chair...
From ACM Opinion