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Medical AI Is as Much Social as It Is Technological
From ACM Opinion

Medical AI Is as Much Social as It Is Technological

Medical AI applications need to overcome transparency and trust issues.

Interpretability of Artificial Neural Network Models in AI versus Neuroscience
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.

Advancing Ethics Review Practices in AI Research
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...

Can AI Invent?
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.

AI Model Transferability in Healthcare: A Sociotechnical Perspective
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...

The Perils of Machine Learning in Designing New Chemicals and Materials
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.

Governing AI Safety through Independent Audits
From ACM Opinion

Governing AI Safety through Independent Audits

Governance of highly automated systems is critical to garner widespread public trust
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