AI Literacy Series: Thinking Critically about the Systems That Shape Us with danah boyd
In this episode of the In AI We Trust? AI Literacy series, Miriam Vogel is joined by co-host Rosalind Wiseman for a conversation with danah boyd, founder of Data & Society. As a researcher at the intersection of technology, bias, and education, boyd has spent decades studying how AI systems reflect and amplify existing inequalities. […]
White Paper: Steps Toward AI Governance
Insights and Recommendations from the 2024 EqualAI Summit Download the Paper
AI Literacy Series: Building Trust and Understanding in AI with Dewey Murdick
In a new episode of In AI We Trust, Dewey Murdick, Executive Director of Georgetown’s Center for Security and Emerging Technology (CSET), joined host Miriam Vogel to discuss his work in AI literacy, emerging technology analysis, and decision-making support for policymakers. Dewey’s Background and Expertise Dewey is the Executive Director of CSET, where he advises […]
The AI Literacy Series: What is AI and Why Are We Afraid of It?
AI Literacy: Decoding The Missing Piece in the Technology Revolution Six years ago, Miriam Vogel attended the Davos Economic Forum and listened to a repeated yet bold prediction: AI would solve the world’s greatest challenges. At the time, it was a novel idea—a blend of optimism and ambition that captured the imagination. Fast forward to […]
The NAIRR Report: A Vision for Democratizing AI Research and Innovation
Ellie Sakhaee, PhD, MBA, EqualAI Fellow & Jim Wiley, Legal and Research Director, EqualAI Mar 14, 2023 Recent advances in AI, such as the powerful Large Language Models (LLMs) overtaking the headlines, are enhancing our efficiency and capturing our imaginations, but they are highly resource intensive to train. Due to the large computational lift required for […]
NIST will cultivate trust in AI by developing a framework for AI risk management (AI RMF)
Ellie Sakhaee, PhD, MBA, EqualAI Fellow Aug 10, 2022 Image by DALL-E mini, generated for “AI Risk Management Framework” Despite their astonishing capabilities, today’s AI systems come with various societal risks, such as discriminatory outputs and privacy violations. Minimizing such risks can, therefore, lead to AI systems that are better aligned with societal values, hence, more […]
