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Why Machine Learning Can't Understand Human Language
From ACM Opinion

Why Machine Learning Can't Understand Human Language

While larger deep neural networks can incrementally improveme specific tasks, they aren't fit for general natural language understanding.

Why It's So Hard to Make Tech More Diverse
From ACM Opinion

Why It's So Hard to Make Tech More Diverse

Block Party founder Tracy Chou reflects on the obstacles she's encountered as a tech entrepreneur.

Building Artificial Intelligence: Reward Is Not Enough
From ACM Opinion

Building Artificial Intelligence: Reward Is Not Enough

Rewards are not enough to build artificial intelligence, says data scientist Herbert Roitblat, countering claims from a recent paper by DeepMind scientists.

Robots Were Supposed to Take Our Jobs. Instead, They're Making Them Worse.
From ACM Opinion

Robots Were Supposed to Take Our Jobs. Instead, They're Making Them Worse.

The robot apocalypse is already here, it just looks different than you thought.

TinyML: What Is It and How Will It Change Machine Learning Best Practices?
From ACM Opinion

TinyML: What Is It and How Will It Change Machine Learning Best Practices?

TinyML will change machine-learning best practices by encouraging more developers to view it as a viable option.

Alondra Nelson Wants to Make Science and Tech More Just
From ACM Opinion

Alondra Nelson Wants to Make Science and Tech More Just

The deputy director of the White House science office plans to tackle algorithmic bias and start candid conversations about the past.

Tesla AI Chief Says Self-Driving Cars Don't Need Lidar
From ACM Opinion

Tesla AI Chief Says Self-Driving Cars Don't Need Lidar

Andrej Karpathy shares why the company still believes in a purely vision-based autonomous driving solution.

 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.

Q&A with Google's Bill Magro
From ACM Opinion

Q&A with Google's Bill Magro

Google's new chief technologist of HPC talks quantum computers, AI, cloud, silicone packaging, interconnect technology, and expanding HPC's reach.

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.

An Interview with Jim Keller: 'The Laziest Person at Tesla'
From ACM Opinion

An Interview with Jim Keller: 'The Laziest Person at Tesla'

Veteran chip designer covers his past lives, Moore's Law, AI-designed chips, security, ethics, and more.

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.

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.

When AI Becomes Child's Play
From ACM Opinion

When AI Becomes Child's Play

Algorithms trained in pattern recognition struggle to understand kids.

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.

Does AI Have an Alignment Problem?
From ACM Opinion

Does AI Have an Alignment Problem?

The problems and the possibilities of AI are, in a very deep way, the problems and possibilities of humanity.

Reward Is Enough for Generalized AI
From ACM Opinion

Reward Is Enough for Generalized AI

The generic objective of maximizing reward is enough to drive behavior that exhibits most abilities studied in natural and artificial intelligence.

Reducing Racial Bias in AI Models for Clinical Use
From ACM Opinion

Reducing Racial Bias in AI Models for Clinical Use

To fully address the issue of racial bias in AI models for clinical use, a top-down intervention is required.
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