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Coming of Age
From Communications of the ACM

Coming of Age

Stressing the importance of threat models.

Closing Our Digital Divides
From Communications of the ACM

Closing Our Digital Divides

Seeking a more efficient path to improved broadband Internet access.

Can Crowdsourcing Rescue the Social Marketplace of Ideas?
From Communications of the ACM

Can Crowdsourcing Rescue the Social Marketplace of Ideas?

How collaborative designs and community-based moderation could improve social media.

Rebutting Rebuttals
From Communications of the ACM

Rebutting Rebuttals

Evaluating the impact of the conference review rebuttal process.

We Need to Focus on How Our Data Is Used, Not Just How It Is Shared
From Communications of the ACM

We Need to Focus on How Our Data Is Used, Not Just How It Is Shared

Toward better understanding of the different ways data circulates between users and platforms.

Voice in the Machine: Ethical Considerations for Language-Capable Robots
From Communications of the ACM

Voice in the Machine: Ethical Considerations for Language-Capable Robots

Parsing the promise of language-capable robots.

Improving Computing Education Research through Valuing Design
From Communications of the ACM

Improving Computing Education Research through Valuing Design

Exploring alternatives to existing research systems and methods.

Why You Should Be Able to Make Your Own Individualized, Digital Nano-Currency
From Communications of the ACM

Why You Should Be Able to Make Your Own Individualized, Digital Nano-Currency

Increasing opportunities for access to traditional financial systems.

AI and Society: Ethics, Trust, and Cooperation
From Communications of the ACM

AI and Society: Ethics, Trust, and Cooperation

Trust and trustworthiness are central to how ethics helps society survive and thrive.

Learning to Live with Privacy-Preserving Analytics
From Communications of the ACM

Learning to Live with Privacy-Preserving Analytics

Seeking to close the gap between research and real-world applications of PPAs.

Fragility in AIs Using Artificial Neural Networks
From Communications of the ACM

Fragility in AIs Using Artificial Neural Networks

Suggesting ways to reduce fragility in AI systems that include artificial neural networks.

There Is Little Evidence for Today's AI Alarmism
From ACM Opinion

There Is Little Evidence for Today's AI Alarmism

Over time, we will have a much better sense of which AI areas require significant regulatory intervention and which do not.

Computer-Related Risks and Remediation Challenges
From Communications of the ACM

Computer-Related Risks and Remediation Challenges

Surveying the nontechnical issues interwoven with computer-related technologies.

Breaking Up a Digital Monopoly
From Communications of the ACM

Breaking Up a Digital Monopoly

How to decompose a vertically integrated digital monopoly to enable competitive services based on a shared data structure.

Trust Is Not Enough: Accuracy, Error, Randomness, and Accountability in an Algorithmic Society
From Communications of the ACM

Trust Is Not Enough: Accuracy, Error, Randomness, and Accountability in an Algorithmic Society

Searching for improved algorithmic accountability.

The Indigo Cyberattack Is a Warning of Things to Come
From ACM Opinion

The Indigo Cyberattack Is a Warning of Things to Come

Those handling state secrets or critical infrastructure seem to fare no better than a bookstore chain.

AI and Politics: How Will We Know What—and Who—Is Real?
From ACM Opinion

AI and Politics: How Will We Know What—and Who—Is Real?

If we are lucky, new technologies will only cause brief confusion.

 The 5 Biggest Risks of Generative AI
From ACM Opinion

The 5 Biggest Risks of Generative AI

AI makes our lives easier in many different ways, but these benefits can come with costs.

The Case for Big Action to Regulate AI
From ACM Opinion

The Case for Big Action to Regulate AI

Why the topic of regulating artificial intelligence ignite such a visceral reaction.

Talking Software Obsolescence
From ACM Opinion

Talking Software Obsolescence

An interview with Ross John Anderson, professor of Security Engineering at University of Cambridge.
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