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Media Messages and U.S. Public Opinion about AI
podcast / interview,

Media Messages and U.S. Public Opinion about AI

An interview about the recent paper 'Media Messages and U.S. Public Opinion about Artificial Intelligence'
September 2, 2020
Increasing generality in machine learning through procedural content generation
podcast / interview, RL, technical,

Increasing generality in machine learning through procedural content generation

An interview about the recent paper 'Increasing generality in machine learning through procedural content generation'
August 29, 2020
The Alexa Prize Challenge and Stanford’s Chirpy Cardinal
podcast / interview, NLP, Amazon,

The Alexa Prize Challenge and Stanford’s Chirpy Cardinal

An interview with Stanford AI Lab PhDs Abigal See and Ashwin Paranjape about their involvement with the Alexa Prize Challenge
August 20, 2020
GPT-3: An AI Breakthrough, but not Coming for Your Job
briefs / NLP, OpenAI, hype,

GPT-3: An AI Breakthrough, but not Coming for Your Job

GPT-3 still has a range of limitations which must be noted before worrying that it will cost anyone their livelihood.
August 5, 2020
Creators of The Gradient on its Origins and Purpose
podcast / interview,

Creators of The Gradient on its Origins and Purpose

A chat among several of the founders of online AI-focused magazine The Gradient
July 16, 2020
IBM, Microsoft, and Amazon Halt Sales of Facial Recognition to Police, Call for Regulations
briefs / computer vision, bias, ethics, surveillance, regulation,

IBM, Microsoft, and Amazon Halt Sales of Facial Recognition to Police, Call for Regulations

Movements against unregulated police use of facial recognition, which compound its many ethical issues, are gaining speed
June 21, 2020
When to Assume Neural Networks Can Solve a Problem
editorials / overview,

When to Assume Neural Networks Can Solve a Problem

A pragmatic guide to the powers and limits of neural networks
May 25, 2020
The Nooscope — a visual manifesto of the limits of AI
editorials / overview,

The Nooscope — a visual manifesto of the limits of AI

Introducing the Nooscope, a diagram that shows how Machine Learning works and how it fails
May 18, 2020
Bots, Lies, and DeepFakes — Online Misinformation and AI's Role in it
overviews / hype, panic, DeepFakes,

Bots, Lies, and DeepFakes — Online Misinformation and AI's Role in it

Information warfare online is serious. AI is just one part of the problem — and solution
February 18, 2020
Retraining as a Response to Automation — Promising, but Only if Done Right
overviews / jobs, overview,

Retraining as a Response to Automation — Promising, but Only if Done Right

Effective worker upskilling requires a broad approach that puts more value on human capital.
February 11, 2020
Featured
The State of Deepfakes in 2020
overviews / DeepFakes,
The State of Deepfakes in 2020
A Brief History of Neural Nets and Deep Learning
overviews / deep learning,
A Brief History of Neural Nets and Deep Learning
The Rise of “Killer Robots” and the Race to Restrain Them
overviews / hype, robotics, regulation,
The Rise of “Killer Robots” and the Race to Restrain Them
Bots, Lies, and DeepFakes — Online Misinformation and AI's Role in it
overviews / hype, panic, DeepFakes,
Bots, Lies, and DeepFakes — Online Misinformation and AI's Role in it
The Past, Present, and Future of AI Art
editorials / overview, art,
The Past, Present, and Future of AI Art
Boston Dynamics' robots — impressive, but far from the Terminator
briefs / hype, robotics,
Boston Dynamics' robots — impressive, but far from the Terminator
Job Loss Due To AI — How Bad Is It Going To Be?
editorials / jobs, overview,
Job Loss Due To AI — How Bad Is It Going To Be?
Sophia the Robot, More Marketing Machine Than AI Marvel
briefs / robotics, hype,
Sophia the Robot, More Marketing Machine Than AI Marvel
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