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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.

Data Platforms and Network Effects
From Communications of the ACM

Data Platforms and Network Effects

How data-network effects create opportunities and inflate expectations.

We've Got Misinformation All Wrong
From ACM Opinion

We've Got Misinformation All Wrong

We must accept that misinformation is not one problem, but a whole set of problems.

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.

Designing to Avoid Worst-Case Outcomes
From ACM Opinion

Designing to Avoid Worst-Case Outcomes

Interaction designer Jonathan Shariat discusses harmful software design.

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.

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.

Blowing Up the Internet...to Protect Kids Online
From ACM Opinion

Blowing Up the Internet...to Protect Kids Online

Framed as a bill to protect kids online, the California Age Appropriate Design Code Act would radically reshape the Internet—and harm both kids and adults.

'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.

Software Can Do Better than 'Male,' 'Female,' and 'Other'
From ACM Opinion

Software Can Do Better than 'Male,' 'Female,' and 'Other'

Providing more-expansive gender options is not a difficult coding problem.

Interpretable Machine Learning
From ACM Opinion

Interpretable Machine Learning

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

On the Model of Computation: Counterpoint
From Communications of the ACM

On the Model of Computation: Counterpoint: Parallel Programming Wall and Multicore Software Spiral: Denial Hence Crisis

Parallel programming wall and multicore software spiral: Denial hence crisis.

On the Model of Computation: Point
From Communications of the ACM

On the Model of Computation: Point: We Must Extend Our Model of Computation to Account for Cost and Location

We must extend our model of computation to account for cost and location.

The Computer Scientist Challenging AI to Learn Better
From ACM Opinion

The Computer Scientist Challenging AI to Learn Better

Christopher Kanan is building algorithms that can continuously learn over time—the way people do.

Can Neural Networks Learn Better than Human Neurons?
From ACM Opinion

Can Neural Networks Learn Better than Human Neurons?

When AI programmers stop trying to copy the human neuron, neural networks make much better progress.

Why Can't Tech Fix Its Gender Problem?
From ACM Opinion

Why Can't Tech Fix Its Gender Problem?

A new generation of tech activists, organizers, and whistleblowers, most of whom are female, non-white, gender-diverse, or queer may bring change.
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