media & resource libary
You can find books, podcasts, movies, documentaries, articles and references discussing current issues related ethical technology. Our curated selection of resources focus on understanding the issues and the ways forward that move towards a more humane and responsible technology ecosystem.
Categories
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Books - Non-Fiction
14
- Oct 26, 2022 Custodians of the Internet
- Oct 26, 2022 Artificial Unintelligence
- Oct 26, 2022 A Future So Bright
- Sep 23, 2022 System Error
- Sep 23, 2022 Rules for a Flat World
- Sep 23, 2022 The Age of AI
- Sep 6, 2022 Internet for the People
- Sep 6, 2022 Design Justice
- Sep 6, 2022 Coded Bias
- Sep 6, 2022 Automating Inequality
- Sep 6, 2022 Atlas of AI
- Sep 6, 2022 Algorithms of Oppression
- Sep 6, 2022 The Age of Surveillance
- Sep 6, 2022 Weapons of Math Destruction
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Course
2
- Sep 24, 2022 Tech Stewardship
- Sep 7, 2022 Foundations for Humane Tech
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Film & TV
4
- Sep 6, 2022 The Social Dilemma
- Sep 6, 2022 Q: Into the Storm
- Sep 6, 2022 Web of Make Believe
- Sep 6, 2022 The Great Hack
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Podcast
5
- Sep 24, 2022 Digital Sociology Podcast
- Sep 23, 2022 Eye on AI
- Sep 23, 2022 The Tech Humanist
- Sep 6, 2022 Your Undivided Attention
- Sep 6, 2022 Spark
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Report
2
- Sep 7, 2022 Improving Social Media
- Sep 7, 2022 Responsible Tech Handbook
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Tool Kit
3
- Sep 7, 2022 Youth Toolkits
- Sep 7, 2022 Policymakers Toolkits
- Sep 7, 2022 Parents and Educators Toolkit
Tags
- AI
- Algorithmic bias
- Artificial intelligence
- Conspiracy theory
- Content moderation
- Digital culture
- Digital society
- Discrimination
- Education
- Ethical technology
- Humane technology
- Humanity
- Internet
- Law
- Misinformation
- MIT
- Online safety
- Personalization
- Policy
- Politics
- Privacy
- Responsible technology
- Social justice
- Social media
- Surveillance
- Tech stewardship
- USA
- Youth
Coded Bias
CODED BIAS explores the fallout of MIT Media Lab researcher Joy Buolamwini’s discovery that facial recognition does not see dark-skinned faces accurately, and her journey to push for the first-ever legislation in the U.S. to govern against bias in the algorithms that impact us all.