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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.

Beyond Interpretability: Developing a Language to Shape Our Relationships with AI
From ACM Opinion

Beyond Interpretability: Developing a Language to Shape Our Relationships with AI

Wouldn't it be nice if we could ask AI questions to learn how and why it makes its predictions?

To Win the Next War, the Pentagon Needs Nerds
From ACM Opinion

To Win the Next War, the Pentagon Needs Nerds

Data scientists, coders, and other techies could prove decisive in future conflicts—if Uncle Sam can recruit them.

To Make AI Fair, Here's What Must Be Done
From ACM Opinion

To Make AI Fair, Here's What Must Be Done

AI developers need to collaborate with social scientists and the people affected by its applications.

How Language-Generation AIs Could Transform Science
From ACM Opinion

How Language-Generation AIs Could Transform Science

University of Michigan's Shobita Parthasarathy warns that software designed to summarize, translate, and write like humans might exacerbate distrust in science....

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.

The Perils of Machine Learning in Designing New Chemicals and Materials
From ACM Opinion

The Perils of Machine Learning in Designing New Chemicals and Materials

As ML tools become more broadly available when making new compounds and materials, the possibilities of misuse increase and must be guarded against.

Book Review: The Future of AI
From ACM Opinion

Book Review: The Future of AI

Cyber analyst James Voorhees reviews The New Fire: War, Peace and Democracy in the Age of AI by Ben Buchanan and Andrew Imbrie.

AI Is Creating a New Colonial World Order
From ACM Opinion

AI Is Creating a New Colonial World Order

Artificial intelligence is enriching a powerful few by dispossessing communities that have been dispossessed before.

Can AI Improve Road Safety Now?
From ACM Opinion

Can AI Improve Road Safety Now?

Well before self-driving cars become a reality, there are simpler approaches that can make roads much safer.

Why It Is So Hard to Make AI Fair and Unbiased
From ACM Opinion

Why It Is So Hard to Make AI Fair and Unbiased

Competing notions of fairness exist, and sometimes they are totally incompatible with each other.

The AI in a Jar
From ACM Opinion

The AI in a Jar

Exploring a metaphysical argument against artificial intelligence.

The Missing Voices in Natural Language Processing
From ACM Opinion

The Missing Voices in Natural Language Processing

Who and what is being represented in the data and development of NLP models?

Patterns and Prose
From ACM Opinion

Patterns and Prose

A University of Southern California computer scientist is a coder by trade and a poet at heart.

The AI Illusion
From ACM Opinion

The AI Illusion

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

Our Human Future in an Age of AI
From ACM Opinion

Our Human Future in an Age of AI

What does it mean to be human in an age where AI agents make decisions that shape human actions?

The Future of AI in Games
From ACM Opinion

The Future of AI in Games

Making artificial intelligence a tool of freedom and creativity for everyone.

Timnit Gebru Is Building a Slow AI Movement
From ACM Opinion

Timnit Gebru Is Building a Slow AI Movement

Her new organization, DAIR, aims to show a more thoughtful mode of AI research.

Democratize Machine Learning with No-Code AI
From ACM Opinion

Democratize Machine Learning with No-Code AI

Organizations lacking skilled data scientists and ML engineers can create and deploy ML models, too.

Fixing AI's Bias Issues Requires More Than a 'Human in the Loop'
From ACM Opinion

Fixing AI's Bias Issues Requires More Than a 'Human in the Loop'

Organizations must account for the biases of their own workers to be able to combat AI blunders.
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