Communications of the ACM
Innovation Is Overrated: A Provocation
Digital innovation is not working in the interest of the whole of society. It is time to radically rethink its purpose without…
From ACM Opinion
Is AI Leading to a Reproducibility Crisis In Science?
Scientists worry that ill-informed use of artificial intelligence is driving a deluge of unreliable or useless research.
From ACM Opinion
Medical AI Is as Much Social as It Is Technological
Medical AI applications need to overcome transparency and trust issues.
From ACM Opinion
ChatGPT: Five Priorities for Research
Conversational AI is a game-changer for science; here's how to respond.
From ACM Opinion
Interpretability of Artificial Neural Network Models in AI versus Neuroscience
Potential synergies and tensions between neuroscientists and AI researchers in interpreting artificial neural networks.
From ACM Opinion
Advancing Ethics Review Practices in AI Research
Recent initiatives to implement AI ethics review processes, better understand societal impacts, and share learnings have had a positive effect, but more needs to...
From ACM Opinion
Can AI Invent?
Recent patent applications for two inventions that are claimed to have been made by an AI are bringing these questions to the fore.
From ACM Opinion
Avoid Diluting Democracy by Algorithms
AI researchers tend to use the concepts of democracy and democratization in ways that are only loosely connected to their political and historical meanings.
From ACM Opinion
AI Model Transferability in Healthcare: A Sociotechnical Perspective
To realize the promised benefits of applying AI and ML models at scale, a roadmap of the challenges and potential solutions to sociotechnical transferability is...
From ACM Opinion
Artificial Intelligence Is Breaking Patent Law
Inventions devised by machines require their own intellectual property law and an international treaty.
From ACM Opinion
To Make AI Fair, Here's What Must Be Done
AI developers need to collaborate with social scientists and the people affected by its applications.
From ACM Opinion
How Language-Generation AIs Could Transform Science
University of Michigan's Shobita Parthasarathy warns that software designed to summarize, translate, and write like humans might exacerbate distrust in science....
From ACM Opinion
The Perils of Machine Learning in Designing New Chemicals and Materials
As ML tools become more broadly available when making new compounds and materials, the possibilities of misuse increase and must be guarded against.
From ACM Opinion
Human Autonomy in the Age of AI
Current AI policy recommendations differ on what the risks to human autonomy are
From ACM Opinion
The Rise and Fall (and Rise) of Datasets
Retired and redacted datasets flagged as harmful or biased continue to rear their ugly heads
From ACM Opinion
Moving Towards Reproducible Machine Learning
Reporting machine learning-based research can help to improve transparency and reproducibility
From ACM Opinion
Computational Sustainability Meets Materials Science
Exploiting synergies between the disciplines advances both fields and can help establish a sustainable future.
From ACM Opinion
Governing AI Safety through Independent Audits
Governance of highly automated systems is critical to garner widespread public trust
From ACM Opinion
Large Language Models Associate Muslims with Violence
New approaches are needed to systematically reduce the harmful bias of language models in deployment.
From ACM Opinion
Google's AI Approach to Microchips Is Welcome—but Needs Care
Artificial intelligence can help the electronics industry to speed up chip design. But the gains must be shared equitably.
From ACM Opinion