Communications of the ACM
Generative AI Degrades Online Communities
How large language models are influencing online communities.
From ACM Opinion
Stop Saying Driverless Cars Will Help Old People
And maybe start including them in research instead of just assuming we know what they want.
From ACM Opinion
Artificial Intelligence and the Adversary
The AI that our top scientists and engineers are now building to advance American security and prosperity could instead sow the seeds of our demise.
From ACM Opinion
AIs Should Have The Same Ethical Protections As Animals
We will soon have AI as cognitively sophisticated as mice or dogs, so it is time to start thinking about whether these AIs deserve the ethical protections we typically...
From ACM Opinion
The Architect of Modern Algorithms
Barbara Liskov pioneered the modern approach to writing code. She warns that the challenges facing computer science today can't be overcome with good design alone...
From ACM Opinion
Removing the Risk of AI Bias in the Public Sector
What practical steps can be taken to drive ethical, unbiased AI use in the public sector?
From ACM Opinion
How to Improve Technical Expertise for Judges In AI-Related Litigation
There are several things court systems and professional organizations should do to enhance the technical capabilities of judges.
From ACM Opinion
We Shouldn't be Scared by 'Superintelligent A.I.'
Bostrom, Russell, and other writers argue that even if the probability is small that superintelligent machines will emerge in the foreseeable future, we should...
From ACM Opinion
I Competed Against An AI
Marc Zao-Sanders, founder and CEO of Filtered, squared off against magpie, the set of algorithms that recommends learning content to people looking to pick up new...
From ACM Opinion
Asimov's Three Laws Have Failed the Robots
Almost no one thinks that Isaac Asimov's Three Laws could work for truly intelligent AI.
From ACM Opinion
Don't Fear the Terminator
The fear that artificial intelligence machines could become our overlords — or perhaps wipe us out altogether — reflects a misunderstanding of AI.
From ACM Opinion
How to Build Artificial Intelligence We Can Trust
Computer systems need to understand time, space and causality. Right now they don't.
From ACM Opinion
Why American Workers Need to Be Protected From Automation
Bill de Blasio, New York City mayor and a candidate for the 2020 Democratic presidential nomination, says that as president he would issue a robot tax for corporations...
From ACM Careers
Major Tech Companies May Be Putting World at Risk From Killer Robots
A new global report ranks 50 tech companies from 12 countries and identifies those at 'highest risk' of putting the world at risk through killer robot development...
From ACM Opinion
Silicon Valley Wants To Read Your Mind. You Should Be Worried
Mind-reading systems such as Facebook's brainwave-reading device and Neuralink's brain implants can affect privacy, security, identity, equality and personal safety...
From ACM Opinion
Why Tech Will Never Be Able to Predict the Next Mass Shooting
Following the horrific mass shootings in El Paso and Dayton last weekend, President Trump called on social media companies to develop tools that could help identify...
From ACM Opinion
Western Academia Helps Build China's Automated Racism
Researchers in China are developing new and more invasive techniques to surveil the Uyghurs minority. Some of their work is being supported by academia in the West...
From ACM Opinion
Why Robot Umpires Are Inevitable in Baseball's Future
I don't know how long it will be before we get robot umpires calling balls and strikes, but the technology is here to do it today.
From ACM Opinion
Op-Ed: 'Ethical AI' Matters — The Problem Lies in Defining It
News that Microsoft will invest around $1 billion to examine ethical artificial intelligence signals that the tech sector is thinking deeper about the ethics underlying...
From ACM Opinion
AI Researchers Need to Stop Hiding the Climate Toll of Their Work
Researchers are sounding the alarm about the surprisingly large carbon footprint of the computations required for deep learning.
From ACM Opinion