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 The Danger of Anthropomorphic Language in Robotic AI Systems
From ACM Opinion

The Danger of Anthropomorphic Language in Robotic AI Systems

Clear, non-anthropomorphic language is central to dismantling misconceptions of AI as a black box.

Paving the Way Towards Trustworthy and Responsible AI
From ACM Opinion

Paving the Way Towards Trustworthy and Responsible AI

Public sector AI innovation needs a more sophisticated, data-driven, and mature approach to ensure effectiveness of governments and better citizen outcomes.

Lethal Autonomous Weapons Exist; They Must Be Banned
From ACM Opinion

Lethal Autonomous Weapons Exist; They Must Be Banned

It may not be too late to put the evil "slaughterbots" genie back in the bottle, if the world acts now.

How Do We Stop the Supercomputing Carbon Crisis?
From ACM Opinion

How Do We Stop the Supercomputing Carbon Crisis?

Efficiency measures are struggling to keep pace with, let alone make headway on, the accelerating demands of modern supercomputers.

Neo4j's $325 Million Venture Suggests Databases Are Cool Again
From ACM Opinion

Neo4j's $325 Million Venture Suggests Databases Are Cool Again

Relational databases aren't dead, but database innovation is cropping up in all sorts of places now, including graph databases.

 The Next Critical Talent Shortage Won't Be Fortran
From ACM Opinion

The Next Critical Talent Shortage Won't Be Fortran

To understand where talent shortages might arise, look at critical infrastructure.

Reimplementing Software Interfaces Is Fair Use
From Communications of the ACM

Reimplementing Software Interfaces Is Fair Use

A multifactored rationale for denying Oracle's claim against Google.

Why the Title of Your Paper Matters
From ACM Opinion

Why the Title of Your Paper Matters

Titles are the first, and often the only, part of your paper that others will read.

Responsible Computing During COVID-19 and Beyond
From Communications of the ACM

Responsible Computing During COVID-19 and Beyond

Navigating the ethical and societal impacts of technologies.

The Limits of Differential Privacy (and Its Misuse in Data Release and Machine Learning)
From Communications of the ACM

The Limits of Differential Privacy (and Its Misuse in Data Release and Machine Learning)

Differential privacy is not a silver bullet for all privacy problems.

Why Computing Students Should Contribute to Open Source Software Projects
From Communications of the ACM

Why Computing Students Should Contribute to Open Source Software Projects

Acquiring developer-prized practical skills, knowledge, and experiences.

The 2021 Software Developer Shortage Is Coming
From Communications of the ACM

The 2021 Software Developer Shortage Is Coming

Companies must address the difficulty of hiring and retaining high-skilled employees from an increasingly smaller labor supply.

Large Language Models Associate Muslims with Violence
From ACM Opinion

Large Language Models Associate Muslims with Violence

New approaches are needed to systematically reduce the harmful bias of language models in deployment.

Research Collaborations Bring Big Rewards: The World Needs More
From ACM Opinion

Research Collaborations Bring Big Rewards: The World Needs More

We need diverse teams collaborating to help navigate and overcome social and geopolitical challenges.

Google's AI Approach to Microchips Is Welcome—but Needs Care
From ACM Opinion

Google's AI Approach to Microchips Is Welcome—but Needs Care

Artificial intelligence can help the electronics industry to speed up chip design. But the gains must be shared equitably.

The Coming Productivity Boom
From ACM Opinion

The Coming Productivity Boom

AI and other digital technologies have been surprisingly slow to improve economic growth. But that could be about to change.

The Brutal Truth About Bitcoin
From ACM Opinion

The Brutal Truth About Bitcoin

Are cryptocurrencies the wave of the future and should you be using and investing in them?

As Science Advances, Does Ockham's Razor Still Apply?
From ACM Opinion

As Science Advances, Does Ockham's Razor Still Apply?

The notion that the simpler explanation is usually right has been useful for centuries. New science may change that.

Amid a Pandemic, a Health Care Algorithm Shows Promise and Peril
From ACM Opinion

Amid a Pandemic, a Health Care Algorithm Shows Promise and Peril

A machine learning-based score designed to aid triage decisions is gaining in popularity, but lacking in transparency.
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