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Democracy Deserves Better Algorithms
From ACM Opinion

Democracy Deserves Better Algorithms

Big Tech could deploy any number of solutions to slow the spread of disinformation, with the most promising being to fix the algorithms.

Our House Is On Fire
From Communications of the ACM

Our House Is On Fire: The Climate Emergency and Computing's Responsibility

Efficiencies delivered by computing technology could play a vital role in enabling continued functionality within a resource-constrained future.

The Planning and Care of Data
From Communications of the ACM

The Planning and Care of Data

Rearranging buckets for no good reason.

Toward Total-System Trustworthiness
From Communications of the ACM

Toward Total-System Trustworthiness

Considering how to achieve the long-term goal to systemically reduce risks.

Involvement and Detachment
From Communications of the ACM

Involvement and Detachment

How detachment from your community blocks your success at leading innovations, and what to do about it.

Lessons From Deploying Deep Learning to Production
From ACM Opinion

Lessons From Deploying Deep Learning to Production

Peter Gao, an early engineer at Cruise, reflects on his experience deploying deep-learning models into production.

Can Large Language Models Be Democratized?
From ACM Opinion

Can Large Language Models Be Democratized?

The very nature of large language models is undemocratic and in favor of the companies that publicize them.

Don't Be Dazzled by Claims of Artificial Intelligence
From ACM Opinion

Don't Be Dazzled by Claims of Artificial Intelligence

Media coverage must hold tech companies to account over claims about AI.

AI Companies Are Massively Faking the Loophole in the Turing Test
From ACM Opinion

AI Companies Are Massively Faking the Loophole in the Turing Test

Claims that an AI has achieved human levels of understanding should be approached with skepticism until it can be shown that humans were not involved.

Is AI Threatened by Too Little Data?
From ACM Opinion

Is AI Threatened by Too Little Data?

Knowing when to limit your data dramatically affects the quality of your artificial intelligence.

Bitcoin Isn't Going to Change
From ACM Opinion

Bitcoin Isn't Going to Change

There's no evidence that Bitcoin's key players are interested in switching from proof-of-work to energy-saving proof of stake.

Information: 'I' vs. 'We' vs. 'They'
From Communications of the ACM

Information: 'I' vs. 'We' vs. 'They'

Seeking a balance between protecting and using personal data.

Cybersecurity as Illuminator for the Future of Computing Research
From Communications of the ACM

Cybersecurity as Illuminator for the Future of Computing Research

Considering the shifting fundamentals of cybersecurity research.

Two Paths for Digital Disability Law
From Communications of the ACM

Two Paths for Digital Disability Law

Understanding the legal drivers of efforts to make technology accessible.

The AI Illusion
From ACM Opinion

The AI Illusion

State-of-the-art chatbots are not what they seem.

Quantum Computing Has a Hype Problem
From ACM Opinion

Quantum Computing Has a Hype Problem

Quantum computing startups are all the rage, but it is unclear if they will be able to produce anything of use in the near future.

Systems Abstractions
From Communications of the ACM

Systems Abstractions

Computing professionals use powerful abstractions to tame complexity in large software systems and distributed networks.

Getting Off the Mad Path
From Communications of the ACM

Getting Off the Mad Path

Debuggers and assertions.

Explainable AI
From Communications of the ACM

Explainable AI

Opening the black box or Pandora's Box?

<i>Communications'</i> Digital Initiative and Its First Digital Event
From Communications of the ACM

Communications' Digital Initiative and Its First Digital Event

How AI and science are shaping each other.
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