Communications of the ACM
Generative AI Degrades Online Communities
How large language models are influencing online communities.
From ACM Opinion
But Is the Code (Re)usable?
It is crucial to guarantee the reproducibility of reported results, but don't forget to make research artifacts reusable for the scientific community
From ACM Opinion
How to Create Successful Developer Products
Interested in building software for developers? Follow these three design principles from Akita Software CEO Jean Yang.
From ACM Opinion
Governing AI Safety through Independent Audits
Governance of highly automated systems is critical to garner widespread public trust
From Communications of the ACM
A European Union Approach to Regulating Big Tech
Considering a new regulatory proposal for addressing digital market competition concerns.
From Communications of the ACM
In Praise of the Disassembler
There is much to be learned from the lower-level details of hardware.
From Communications of the ACM
Responsible AI: Bridging From Ethics to Practice
Recommendations for increasing the benefits of artificial intelligence technologies.
From Communications of the ACM
Science Needs to Engage With Society: Some Lessons From COVID-19
Recent experiences toward communicating science to the general public.
From ACM Opinion
Kubernetes Magic Is in Enterprise Standardization, Not App Portability
Kubernetes isn't going to magically make your applications portable, but it just might give you something even better.
From ACM Opinion
What OpenAI and GitHub's AI Pair Programmer Means for the Software Industry
AI-powered code generator provides some interesting hints about the business of large language models and the future of the software industry.
From ACM Opinion
The Next Critical Talent Shortage Won't Be Fortran
To understand where talent shortages might arise, look at critical infrastructure.
From Communications of the ACM
Responsible Computing During COVID-19 and Beyond
Navigating the ethical and societal impacts of technologies.
From Communications of the ACM
The Limits of Differential Privacy (and Its Misuse in Data Release and Machine Learning)
Differential privacy is not a silver bullet for all privacy problems.
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 Communications of the ACM
Trustworthy Scientific Computing
Addressing the trust issues underlying the current limits on data sharing.
From Communications of the ACM
The 10 Best Practices for Remote Software Engineering
Focusing on the human element of remote software engineer productivity.
From Communications of the ACM
Let's Be Honest
Seeking to rectify the two mutually exclusive ways of comparing computational power — encoding and simulation.
From ACM Opinion