When Good Algorithms Go Sexist: Why and How to Advance AI Gender Equity
Seven actions social change leaders and machine learning developers can take to build gender-smart artificial intelligence for a more just world.
Technology Innovations in technology that serve the world
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Solving the Loneliness Epidemic, Two Generations at a Time
Four ways technology can help organizations working to fight loneliness, while transforming eldercare and the lives of older and younger adults.
There’s No Formula for Taking Sensitive Trainings Remote
While the pandemic has clarified some best practices for online trainings, centering participants requires a creative approach, a deep understanding of participants’ needs, and thoughtful work to be responsive and flexible.
Tackling the Housing Crisis and Bridging Generational Divides Through Home-Sharing
Intergenerational home-sharing provides younger adults with affordable housing and older adults with needed income and a way to age in place.
Strengthen Media Literacy to Win the Fight Against Misinformation
If the world is going to stop deliberate or unintentional misinformation and its insidious effects, we need to radically expand and accelerate our counterattacks, particularly human-centered solutions focused on improving people's media and information literacy.
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The Science of What Makes People Care
Five principles based in social science that will help organizations connect their work to what people care most about.
Innovative Solutions for the Housing Crisis
Six pathways to making housing more affordable and available from the Ivory Prize for Housing Affordability.
The Challenge of Organizational Learning
A recent study found three common barriers to knowledge sharing across nonprofits and their networks, as well as ways and means to overcome them.
The Dragonfly Effect
Two veterans of consumer psychology, marketing, and entrepreneurship provide a guide to using social media for social change.
The Case for Causal AI
Using artificial intelligence to predict behavior can lead to devastating policy mistakes. Health and development programs must learn to apply causal models that better explain why people behave the way they do to help identify the most effective levers for change.