The New Science of Digital Transformation

The C3.ai Digital Transformation Institute is a research consortium dedicated to accelerating the benefits of artificial intelligence for business, government, and society.

The institute engages the world’s leading scientists to conduct research and train practitioners in the Science of Digital Transformation, which operates at the intersection of artificial intelligence, machine learning, cloud computing, internet of things, big data analytics, organizational behavior, public policy, and ethics.

Established in March 2020, the C3.ai DTI consortium consists of C3 AI, Microsoft Corporation, University of Illinois Urbana-Champaign, University of California, Berkeley, Carnegie Mellon University, KTH Royal Institute of Technology, Lawrence Berkeley National Laboratory, Massachusetts Institute of Technology, National Center for Supercomputing Applications, Princeton University, Stanford University, and University of Chicago. The Institute is jointly managed and hosted by University of California, Berkeley and University of Illinois Urbana-Champaign.

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Newsletter
Winter 2024 C3.ai DTI Newsletter
February 06, 2024 | C3.ai DTI’s quarterly newsletter covers news of the Institute’s Principal Investigators and digital transformation research around the consortium. In this issue: AI Governance, Advocating for Artists, Advancing General Robot Brain, Tech for the Tillage, GenAI Expert Voices.
Article
From Fawkes, to Glaze, to Nightshade, According to Ben Zhao
January 30, 2024 | With a serendipitous introduction to a community of artists, C3.ai DTI cybersecurity Principal Investigator Ben Zhao, computer science professor at the University of Chicago, dedicated his team to producing ways to protect original artwork from rampant AI reproduction.
Article
The perpetual motion machine of AI-generated data and the distraction of ChatGPT as a ‘scientist’
January 26, 2024 | Nature Biotechnology: In this first-person piece, C3.ai DTI COVID-19 researcher and UC Berkeley Professor of EECS and Bioengineering Jennifer Listgarten writes, “As a longtime researcher at the intersection of artificial intelligence (AI) and biology, for the past year I have been asked questions about the application of large language models and, more generally, AI in science.
Article
How to Guarantee the Safety of Autonomous Vehicles
January 17, 2024 | Sayan Mitra, a computer scientist at the University of Illinois Urbana-Champaign leads a team that has managed to prove the safety of lane-tracking capabilities for cars and landing systems for autonomous aircraft. “Their method of providing end-to-end safety guarantees is very important,” said Corina Pasareanu, a research scientist at Carnegie Mellon University and NASA’s Ames Research Center.
Report
Antibacterial drug market projected to grow 3.6% annually by 2034
January 16, 2024 | Industry forecasting firm Visiongain released its Antibacterial Drugs Market Report 2024-2034 today, which projected the antibacterial drug market to grow at a compound annual growth rate of 3.6 percent during the 10-year forecast period.
Article
The Global Project to Make a General Robotic Brain
January 09, 2024 | C3.ai DTI cybersecurity P.I. Sergey Levine of UC Berkeley co-authored an article in IEEE Spectrum describing how robots from around the world are sharing data on object manipulation to help work towards a general purpose robotic brain.

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