A Force for Good in the Fourth Industrial Revolution
The Block Center for Technology and Society at Carnegie Mellon University was established to examine the societal consequences of technological change and to create meaningful plans of action.
National Academy of Sciences Report
Read the 2017 U.S. NASEM report, authored by Tom Mitchell, E. Fredkin University Professor of Machine Learning and Computer Science, on Information Technology and the Future of Work and his paper on Economic Consequences of Artificial Intelligence and Robotics.
NSF Funds Block Center Projects
Tracking the effects of emerging technologies on manufacturing industries. Re-skilling marginalized workers for the digital economy. Helping low-income mothers get to work. The Fourth Industrial Revolution is here, and we're making sure no one is left behind. Learn more about our three projects funded by the National Science Foundation.
Congressional Hearing: Equitable Algorithms: Examining Ways to Reduce AI Bias in Financial Services
- Prof. Rayid Ghani
Congressional Roundtable: Critical Considerations for Restarting a More Resilient and Robust US Economy Post COVID-19
Congressional Roundtable: Disinformation One Month from the Election
Congressional Testimony: Trade, Manufacturing, & Critical Supply Chains: Lessons from COVID-19
- Prof. Erica Fuchs
Focus Areas
The Future of Work
How will technology change the nature of work? What types of jobs will no longer be done by humans? Who is at risk of being left behind?
Artificial Intelligence & Analytics For Good
How can artificial intelligence and analytics increase justice and reduce inequality? Can we design algorithms which are transparent and fair? How do we design machines that are worthy of our trust?
Seeding Societal Futures
How can technology be used to reskill displaced workers? What new work opportunities will technology create? What solutions can we create to alleviate human suffering?
Recent & Upcoming Events
- May 27 Faculty Dialogues: The Future of Work
- Oct 19 Artificial Intelligence for Data Discovery and Reuse (AIDR) Symposium 2020
- Oct 6 Combatting Disinformation One Month from the Election: What State and Local Policy Makers Can Do
- Oct 1 Improving Fairness & Equity in Policy Applications of Machine Learning
- Sep 30 COVID, Tech and Local Government: Making an Impact at the City-Level
- Jul 23 Professor Erica Fuchs testifies before the U.S. House Ways and Means Committee on “Trade, Manufacturing, And Critical Supply Chains: Lessons from COVID-19”
- Jun 12 Critical Considerations for Restarting a More Resilient and Robust US Economy Post COVID-19
In The News
- Axios - Medical ethics in pandemic times
- BBC - How AI can help us harness our 'collective intelligence'
- Wired - This CIA spy game reveals the secrets of successful teams
- Forbes - New Data Shows Women Are Being Pushed Out Of The Workforce By A ‘Termination Gap’
- TechCrunch - How to diagnose and treat machine learning models afflicted by COVID-19
- MarketWatch - Why Americans are willing to share their personal information in drug trials but not for coronavirus contact tracing efforts
- EdScoop - After the pandemic, AI tutoring tool could put students back on track
- The Washington Post - The new coronavirus economy: A gigantic experiment reshaping how we work and live