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.
Artificial intelligence, robotics, machine learning, and advanced manufacturing promise profound impacts across society. While many of these impacts will benefit people, there exists the possibility that many in the labor market will be displaced, and that technology may fundamentally change how people engage with and contribute to their world.
The Block Center will focus on how emerging technologies will alter the future of work, how AI and analytics can be harnessed for social good, and how innovation in these spaces can be more inclusive and generate targeted, relevant solutions that reduce inequality and improve quality of life.
Addressing technological disruption from the perspective of economics, organizations, and public policy, the Block Center's projects will seek to ensure that the benefits of technological change are widely shared, opening new paths to prosperity for all.
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?
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?
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?
Keith Block: Co-CEO Salesforce
The Block Center was launched thanks to the generosity of Carnegie Mellon University alumnus Keith Block and his wife, Suzanne Kelley. Block is the co-Chief Executive Officer of cloud computing giant Salesforce.com. Salesforce was recently ranked #1 on Fortune's Future 50.
Does Technology Kill Jobs?
- Prof. Lee Branstetter
Using AI in Education to Reduce Inequality
- Prof. Amy Ogan
Ethics and Trust in an Automated World
- Prof. David Danks
Recent & Upcoming Events
- Jun 21 Professor Lee Branstetter addresses the Federal Reserve on "Connecting Today’s Workers with Tomorrow’s (Good) Jobs" at Policy Summit 2019
- Jun 7 Professor Alex John London addresses the National Academies of Sciences, Engineering and Medicine on ethical decision making in computational systems
- Jun 3 Results of Call for Proposals announced
- May 16 Professor Lee Branstetter speaks on The Hill's Workers & The Innovation Age panel
- May 15 Dean Keith Webster delivers closing remarks at the AIDR Conference for Artificial Intelligence for Data Discovery and Reuse
- May 15 Professor Tae Wan Kim speaks at Albers Ethics Week on "Can Ethics Be Taught to AI?"
In The News
- Forbes - Three Keys To Help You Rise To The Top
- Forbes - 5 Ways Designers Can Make Better AI for Everyone
- Forbes - Managing Remote Employees? Spot This Problem And Improve Productivity
- Global News - Me, Myself and AI
- Forbes - 25% Of Google Duplex Calls Are Placed By Humans, But Likely Not For Long
- Axios - 1 big thing: Big data, attention and wealth
- Tech News World - How Artificial Intelligence Is Reshaping the Workforce
- GeekWire - AI researchers say San Francisco’s facial recognition ban just scratches the surface
- Verizon News - Learning about machine learning