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Scientists Increasingly Cannot Explain How AI Works
From ACM Opinion

Scientists Increasingly Cannot Explain How AI Works

AI researchers are warning developers to focus more on how and why a system produces certain results than the fact that the system can accurately and rapidly produce...

Avoid Diluting Democracy by Algorithms
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.

AI in Medicine Is Overhyped
From ACM Opinion

AI in Medicine Is Overhyped

AI models for healthcare that predict disease are not as accurate as reports might suggest.

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...

AI and ML Observability
From ACM Opinion

AI and ML Observability

Andy Dang, head of Engineering at WhyLabs, discusses observability and data ops for AI/ML applications and how that differs from traditional observability.

AI Should Supercharge Workers, not Compete with Them
From ACM Opinion

AI Should Supercharge Workers, not Compete with Them

The economy could get a boost if machine-learning engineers switched from copying human abilities to augmenting them.

A Common-Sense Test for AI Could Lead to Smarter Machines
From ACM Opinion

A Common-Sense Test for AI Could Lead to Smarter Machines

Injecting common sense into AI could mean big things for humans.

Artificial Intelligence and the Future of Demos
From ACM Opinion

Artificial Intelligence and the Future of Demos

One way to examine the relationship between AI and democracy is to turn the attention toward the very basic unit common to all forms of democracy: the people.

Open-Endedness and Evolution through Large Models
From ACM Opinion

Open-Endedness and Evolution through Large Models

A conversation with Joel Lehman, machine-learning scientist formerly of OpenAI and Uber AI Labs.

Democratization of AI Could Prevent the Great Resignation
From ACM Opinion

Democratization of AI Could Prevent the Great Resignation

To guard against the effect of the Great Resignation, enterprises need to reassess their training programs.

AI Needs Pragmatists and Blue-Sky Visionaries
From ACM Opinion

AI Needs Pragmatists and Blue-Sky Visionaries

For humanity's brightest future, the blue-sky, lofty thinkers in AI need the help of the muddy-boots pragmatists.

The Pope's AI Adviser on Ensuring Algorithms Respect Human Dignity
From ACM Opinion

The Pope's AI Adviser on Ensuring Algorithms Respect Human Dignity

Franciscan monk Paolo Benanti is the brains behind the Rome Call, a pact aimed at making sure AI is developed with ethics in mind.

Linguistics and the Development of NLP
From ACM Opinion

Linguistics and the Development of NLP

An interview with Christopher Manning, director of the Stanford University AI Lab and an associate director of Stanford's Human-Centered Artificial Intelligence...

How AI Could Accidentally Extinguish Humankind
From ACM Opinion

How AI Could Accidentally Extinguish Humankind

Humanity is not prepared for artificial superintelligence right now.

I Was There When: AI Helped Create a Vaccine
From ACM Opinion

I Was There When: AI Helped Create a Vaccine

An interview with Dave Johnson, chief data and artificial intelligence officer at Moderna.

The AI Researcher Giving Her Field Its Bitter Medicine
From ACM Opinion

The AI Researcher Giving Her Field Its Bitter Medicine

Anima Anandkumar wants computer scientists to move beyond the matrix, among other challenges.

 Supercomputer Emulator: AI's New Role in Science
From ACM Opinion

Supercomputer Emulator: AI's New Role in Science

Chris Bishop, Microsoft's head of AI4Science, sees machine learning partially supplanting simulation.

'The New Generation of Computer Scientist Wants to Benefit Society'
From ACM Opinion

'The New Generation of Computer Scientist Wants to Benefit Society'

Professor Jim Kurose discusses the type of science computing researchers are focusing on and the future of the field.

We Need to Talk About How Good AI Is Getting
From ACM News

We Need to Talk About How Good AI Is Getting

We are in a golden age of progress in artificial intelligence, and it is time to start taking its potential and risks seriously.

Interpretable Machine Learning
From ACM Opinion

Interpretable Machine Learning

A conversation with Been Kim, staff research scientist at Google Brain.
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