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Moving Towards Reproducible Machine Learning
From ACM Opinion

Moving Towards Reproducible Machine Learning

Reporting machine learning-based research can help to improve transparency and reproducibility

In Favor of More Science Communication by AI Researchers
From ACM Opinion

In Favor of More Science Communication by AI Researchers

Those developing AI should do more to fix the misunderstanding, hype, and misinformation that surrounds it

'Small Data' Is Also Crucial for Machine Learning
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

Facebook Uses Deceptive Math to Hide Its Hate Speech Problem
From ACM Opinion

Facebook Uses Deceptive Math to Hide Its Hate Speech Problem

The company claims its AI is amazing at removing harmful content, but internal documents suggest the algorithm is ineffective

Pentagon Wants AI to Predict Events Before They Occur
From ACM Opinion

Pentagon Wants AI to Predict Events Before They Occur

AI-enabled platforms are expected to offer strategic warning of adversarial actions prior to any irreversible moves having been made

Meta Learning and Model-Based Reinforcement Learning
From ACM Opinion

Meta Learning and Model-Based Reinforcement Learning

Stanford professor Chelsea Finn talks about robotics and meta learning research

Why Robots Should Fear Death as Much as We Do
From ACM Opinion

Why Robots Should Fear Death as Much as We Do

To gain full artificial general intelligence, perhaps machines need to fear their own mortality

The FDA Should Better Regulate Medical Algorithms
From ACM Opinion

The FDA Should Better Regulate Medical Algorithms

Most do not require the agency's approval, and those that do often don't require clinical trial

Americans Need a Bill of Rights for an AI-Powered World
From ACM Opinion

Americans Need a Bill of Rights for an AI-Powered World

The White House Office of Science and Technology Policy is developing principles to guard against powerful technologies—with input from the public

Supersized AIs: Are Truly Intelligent Machines Just a Matter of Scale?
From ACM Opinion

Supersized AIs: Are Truly Intelligent Machines Just a Matter of Scale?

Gigantic neural networks that write with remarkable fluency have led to suggestions that scaling up will usher in ultimately true machine intelligence

Will the Cloud Eat Your AI?
From ACM Opinion

Will the Cloud Eat Your AI?

Big cloud providers have a lot going for them when it comes to AI, but are they the only game in town?

Facebook Can't Be Saved
From ACM Opinion

Facebook Can't Be Saved

Whistleblower Frances Haugen told senators that Facebook shouldn't be broken up, but its problems are a direct consequence of its size.

Why OpenAI's Codex Won't Replace Coders
From ACM Opinion

Why OpenAI's Codex Won't Replace Coders

Human programmers can actually become more powerful and efficient with Codex

Why Facebook Should Release the Facebook Files
From ACM Opinion

Why Facebook Should Release the Facebook Files

The company's least-bad option might also do a lot of good

Timnit Gebru's Plan to Rethink Big Tech
From ACM Opinion

Timnit Gebru's Plan to Rethink Big Tech

Former Google AI ethics chief says whistleblowers working on AI need newer, better, tougher regulatory protections

'Self-Driving' Cars Begin to Emerge from a Cloud of Hype
From ACM Opinion

'Self-Driving' Cars Begin to Emerge from a Cloud of Hype

Developers try to overcome a multitude of technical challenges before vehicles drive on their own

Leadership Lessons about Ethical AI and Algorithms
From ACM Opinion

Leadership Lessons about Ethical AI and Algorithms

Wall Street Journal's Facebook series exposes flaws in leadership's handling of algorithms' unintended consequences

Should Oversight of Biased AI Be Left Up to People?
From ACM Opinion

Should Oversight of Biased AI Be Left Up to People?

Mounting research shows humans may not be up to the task of reigning in runaway algorithms

A Developer's Guide to Machine-Learning Security
From ACM Opinion

A Developer's Guide to Machine-Learning Security

Countering adversarial attacks means understanding the different types as well as the ML weak spots
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