Our web server has been ugraded and you can now reference these pages
securely using
https instead of the former http; this should happen
automatically if you come in via an https link.
My ORCID is 0000-0002-6604-9953
And my arXiv public author identifier is http://arxiv.org/a/rushby_j_1
And my Erdos Number is 3.
Links to videos and to slides.
I was honored to receive the IEEE Harlan D Mills Award for 2011 (picture).
And Sam
Owre,
Shankar and I received
the Computer-Aided
Verification (CAV) Award for 2012
(picture)
and also the Skolem
Award in 2021 for
the most
influential paper from CADE-11 that was held in 1992.
According to my Google Scholar profile, my H-index is 61.
Information about
Assurance 2.0
Photos
from some meetings and retirements
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
2024
, July 2024;
also available as arXiv 2407.13948.
Where AI Assurance Might Go Wrong:
Initial lessons from engineering of critical systems by Robin Bloomfield and John
Rushby. Presented at UK AI Safety Institute (AISI)
Conference on Frontier AI Safety
Frameworks (FAISC 24), Berkeley CA, November 2024. Also available as
arXiv 2502.03467.
Models are Central to AI Assurance by Robin Bloomfield and John
Rushby. Presented at ASSURE24
workshop, part of ISSRE, Tsukuba, Japan, October 2024
Assurance 2.0 in a Nutshell (PDF) by
Robin Bloomfield and John Rushby. CSL Technical Note October 2024.
We also have a separate web page for Assurance 2.0
Enabling Theory-based Continuous Assurance: A Coherent Approach with
Semantics and Automated Synthesis, by
Srivatsan Varadarajan and others including John Rushby.
Presented at SASSUR Workshop, Sept 2024, published in SafeComp Workshops,
Springer LNCS 14989. pp 173--187
Confidence in Assurance 2.0 Cases by
Robin Bloomfield and John Rushby. Also available as
arXiv 2409.10665.
Expanded version of a paper from
The Practice of Formal Methods: Essays in Honour of Cliff
Jones, Part I.
Springer LNCS 14780, pp. 1--23, Sept 2024
Automating Semantic Analysis of System Assurance Cases using Goal-directed ASP by Anitha Murugesan and several others, including John Rushby, appears in special issue of TPLP and also available at arXiv 2408.11699. Extended version of
GDE23
Assurance of AI Systems From a Dependability Perspective
by Robin Bloomfield and John
Rushby, Technical Report
SRI-CSL-2024-02
If you're looking for slides from other talks, please scan through this directory listing, ordered by write date (and note the links at the bottom if you need format conversions)
2016
My lectures for the
Marktoberdorf 2016 Summer School on Dependable Software Systems
Engineering
2015
2011
2010
2009
2008
John Rushby (R u s h b y @ c s l . s r i . c o m)