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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.

What's Your Placebo?
From Communications of the ACM

What's Your Placebo?

The dangers of participation bias in educational studies.

Storytelling and Science
From Communications of the ACM

Storytelling and Science

Incorporating storytelling into organizational culture.

Securing the Company Jewels
From Communications of the ACM

Securing the Company Jewels

GitHub and runbook security.

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...

Calling Out the 'Toxic Culture' of Computer Science
From ACM Opinion

Calling Out the 'Toxic Culture' of Computer Science

Berkeley Professor Emeritus Edward Lee tells why he chastised the rejection culture at computer science conferences.

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.

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.

 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.

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.
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