Recent Media Coverage
AI Weekly: Recognition of bias in AI continues to grow
This VentureBeat article highlights PAI’s latest white paper on how collecting and using data can accentuate various forms of biases.
Pre-Empting a Crisis: Deepfake Detection Skills + Global Access to Media Forensics Tools
A critical dimension is equity in access to both deepfake detection tools and the capacity to use them.
Meet the scientist teaching AI to police human speech
Alexis Conneau’s work has helped build AI systems that can understand dozens of languages with startling accuracy.
The World Needs Deepfake Experts to Stem This Chaos
A crisis over a suspicious confession video in Myanmar underscores why we need a coordinated response to discern fact from fiction.
Don’t End Up on This Artificial Intelligence Hall of Shame
A list of incidents that caused, or nearly caused, harm aims to prompt developers to think more carefully about the tech they create.
How to be responsible in AI publication
A white paper from Partnership on AI provides timely advice on tackling the urgent challenge of navigating risks of AI research and responsible publication.
Using Secure Sourcing to Combat Misinformation
Secure sourcing will better accommodate readers’ right to know, without compromising journalists’ and sources’ rights.
Who Should Stop Unethical A.I.?
At artificial-intelligence conferences, researchers are increasingly alarmed by what they see.
Responsible AI Economics with Katya Klinova & The Partnership on AI
In recent years, the focus of AI developers has been to implement technologies that replace basic human labor. Katya Klinova shares why this is the wrong application for AI.
Responsible AI Research with Madhulika Srikumar
Madhulika Srikumar chats about managing the risks of AI research, how should the AI community think about the consequences of their research, and more.
Responsibility, Risk, and Publishing
On this episode Madhulika Shrikumar discusses their recent work Managing Risk and Responsible Publication.