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 Communications of the ACM
Do the Right Thing
Exploring the intersection of legal compliance and ethical judgment.
From Communications of the ACM
Updates, Threats, and Risk Management
Revisiting a recent column considering security updates.
From Communications of the ACM
Ethics as a Participatory and Iterative Process
Facilitating ethical reflection, inquiry, and deliberation.
From Communications of the ACM
Faculty Can Save Lives of the Elderly
A unique viewpoint on risks to senior citizens from academia.
From Communications of the ACM
Cyber Efficiency and Cyber Resilience
Complementary objectives competing for the same resources.
From Communications of the ACM
Where Is the Research on Cryptographic Transition and Agility?
Gaps facing the industry as quantum safe algorithms move closer to standardization.
From Communications of the ACM
Improving Section 230, Preserving Democracy, and Protecting Free Speech
Proposing a framework for a decentralized market where no one party controls the flow of information.
From Communications of the ACM
Contracting for Artificial Intelligence
Considering the promises and perils of contracting for the use of artificial intelligence tools and data.
From Communications of the ACM
A Turning Point for Cyber Insurance
Technologists who understand and measure cyber risk can motivate policyholders to improve security.
From Communications of the ACM
Metrics for Success: Why and How to Evaluate Privacy Choice Usability
Assessing the usability of choice and consent mechanisms.
From Communications of the ACM
A Legal Challenge to Algorithmic Recommendations
Reconsidering liability shield considerations.
From Communications of the ACM
A Map for Innovation
Innovation is less elusive with the right navigational map.
From Communications of the ACM
The Premature Obituary of Programming
Why deep learning will not replace programming.
From Communications of the ACM
Building Machine Learning Models Like Open Source Software
Proposing a community-based system for model development.
From Communications of the ACM
Software Engineering of Machine Learning Systems
Seeking to make machine learning more dependable.
From Communications of the ACM
Ethical AI is Not about AI
The equation Ethics + AI = Ethical AI is questionable.
From Communications of the ACM
The Elephant in the Room
It is time to get the POSIX elephant off our necks.
From ACM Opinion