Communications of the ACM
We've Got Misinformation All Wrong
We must accept that misinformation is not one problem, but a whole set of problems.
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.
From ACM Opinion
There Are Too Few Women in Computer Science and Engineering
The problem is not disinterest; it is the culture of these fields and how they exclude women and girls.
From ACM Opinion
Data Breaches Involve the Same Stories Again and Again
Only when we learn from them can we make headway in stopping the cycle.
From ACM Opinion
Should Machines Replace Mathematicians?
A "replication crisis" in mathematics raises questions about the purpose of knowledge.
From ACM Opinion
Who Is Liable when AI Kills?
We need to change rules and institutions while still promoting innovation to protect people from faulty AI.
From ACM Opinion
Science Needs to Shrink Its Carbon Footprint
Greenhouse gas emissions from research damage the climate.
From ACM Opinion
Political Affiliation Influences Our Fear of Data Collection
It's not government Americans don't trust with their data; it's the opposite political party.
From ACM Opinion
Artificial General Intelligence Is Not as Imminent as You Might Think
A close look reveals that the newest systems, including DeepMind's much-hyped Gato, are still stymied by the same old problems.
From ACM Opinion
We Should Not Try to Make Conscious Software—Until We Should
Eventually, the most ethical option might be to divert all resources toward building very happy machines.
From ACM Opinion
It's Time to Open the Black Box of Social Media
Social media cos. need to give their data to independent researchers to better understand how to keep users safe.
From ACM Opinion
Why We Forgive Humans More Readily Than Machines
When things go wrong, flexible moral intuitions cause us to judge computers more severely
From ACM Opinion
'Small Data' Is Also Crucial for Machine Learning
The most promising AI approach you've never heard of doesn't need to go big
From ACM Opinion