Amazon, Meta, ACLU gather in Boston to discuss future of AI
Partnership on AI will bring together its corporate and nonprofit partners to discuss 2023 priorities, including AI and the workforce, bringing underrepresented voices into AI and deepfakes.
White House Blueprint for an AI Bill of Rights Lauded as Essential Step Toward Protecting the…
The White House Office of Science and Technology Policy recently collected reactions to their AI Bill of Rights. Several of our Partners and our CEO, Rebecca Finlay, were quoted.
What from another country’s national innovation policy should the US adopt?
In this edition of Braintrust, a group of experts, including PAI’s CEO, look to innovation strategies from across the globe and highlight the parts they thought might work well in the U.S.
Art ‘Made’ By AI Is Here, What Are The Potential Consequences?
AI tools that can turn simple sentences into images have been in development for some time, but have recently become available to the general public.
The FTC begins its fact-finding process for potential data privacy rules with its first public forum
The FTC began the next step in its process of gathering information that will help inform whether to propose new privacy regulations for how companies can collect and use consumer data.
After Roe, fears mount about A.I.’s ability to identify those seeking abortions
After the overturning Roe v. Wade, privacy rights advocates warned that apps and AI tech could make it easier for prosecutors to find women who are seeking to end a pregnancy.
Seven AI ethics experts predict 2022’s opportunities and challenges for the field
From developing more human-centric AI to overcoming fragmented approaches to ethical AI development, here’s what seven experts predict.
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.
Data Privacy and Women’s Rights with Rebecca Finlay
In this episode PAI’s CEO, Rebecca Finlay speaks about protecting user data privacy and human rights, following the US Supreme Court ruling of Dobbs v. Jackson Women’s Health Organization.
That Tech Pod – Advertising Diversity Through AI
PAI’s Rebecca Finlay & EY’s Todd Marlin discuss the importance of documentation and diversity in AI, the use of attribute data in targeted advertising, and more.
How AI Tech Can Support DEIA Initiatives With Psychology Researcher, Jeffrey Brown
Jefferey Brown joins Jessica Miller-Merrell to discuss diversity, equity and inclusion, and accessibility when it comes to AI.
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.