REGISTER HERE Numerous AI documentation processes and practices have been developed in recent years, with goals including improving transparency, safety, fairness, and accountability for the development and uses of AI systems. Well known AI documentation standards include Google’s Model Cards, Microsoft’s Datasheets for Datasets, IBM’s FactSheets, and more recently Meta’s…
The UC Berkeley AI Policy Hub is now accepting applications for its inaugural Fall 2022 – Spring 2023 cohort APPLY HERE Applications due by: Tuesday, April 26 at 11:59 PM (PDT) What are the benefits of the program to participants? Participants of the AI Policy Hub will have the…
A new report from the University of California Office of the President provides recommendations for how the 10-campus UC System can prepare for and mitigate the potential harms of artificial intelligence. CLTC’s Jessica Newman served on the UC Presidential Working Group on Artificial Intelligence, which outlines a a set of responsible principles to promote the safe and ethical development, use, procurement, and monitoring of AI across the university.
On December 10, the Center for Long-Term Cybersecurity hosted the third event in our 2020 Research Exchange, a series of three virtual conferences that showcased CLTC-funded researchers working across a wide spectrum of cybersecurity-related topics. The December event, themed “Long-Term Security Implications of AI/ML Systems.” featured talks from a…
The Center for Long-Term Cybersecurity has issued a new report that assesses how competitive pressures have affected the speed and character of artificial intelligence (AI) research and development in an industry with a history of extensive automation and impressive safety performance: aviation. The Flight to Safety-Critical AI: Lessons in AI…
The Center for Long-Term Cybersecurity (CLTC) has issued a new report that takes an in-depth look at recent efforts to translate artificial intelligence (AI) principles into practice. The report, “Decision Points in AI Governance,” authored by CLTC Research Fellow and AI Security Initiative (AISI) Program Lead Jessica Cussins Newman, provides an overview of 35 efforts already under way to implement AI principles, ranging from tools and frameworks to standards and initiatives that can be applied at different stages of the AI development pipeline.
“Decision Points in AI Governance” takes an in-depth look at recent efforts to translate artificial intelligence (AI) principles into practice. Authored by CLTC Research Fellow and AI Security Initiative (AISI) Program Lead Jessica Cussins Newman, the report provides an overview of 35 efforts already under way to implement AI principles, and highlights three recent efforts as case studies.
On February 19, 2020 the AI Security Initiative at the Center for Long-Term Cybersecurity (CLTC) hosted a lunchtime seminar featuring Bin Yu, Chancellor’s Professor in the Departments of Statistics and Electrical Engineering & Computer Science at UC Berkeley. CLTC’s AI Security Initiative (AISI) works across technical, institutional, and policy domains…
On November 13, the Center for Long-Term Cybersecurity’s AI Security Initiative teamed up with the Center for Human-Compatible Artificial Intelligence (CHAI) to present a book talk featuring Stuart Russell, author of the new book Human Compatible: Artificial Intelligence and the Problem of Control. A long-time member of the UC Berkeley…
Algorithms that analyze data, predict outcomes, suggest solutions, and make decisions are increasingly embedded into everyday life. Machines automate content filtering, drive cars and fly planes, trade stocks, evaluate resumes, assist with medical diagnostics, and contribute to government decision-making. Given the growing role of artificial intelligence and machine learning in…