Anthony M. Barrett

 

tony@tony-barrett.com

www.tony-barrett.com

 

________________________________________________________________________

 

 

PROFESSIONAL SUMMARY

 

Expertise in AI, cybersecurity, and risk management. Senior Technical Advisor in the National Risk Management Center (NRMC), Cybersecurity and Infrastructure Security Agency (CISA), US Department of Homeland Security (DHS). I was recently a Visiting Scholar with the Center for Long-Term Cybersecurity (CLTC) AI Security Initiative (AISI) at UC Berkeley, and a Senior Principal Policy Analyst at the Berkeley Existential Risk Initiative (BERI). I was also Co-Founder, and Director of Research of the Global Catastrophic Risk Institute (GCRI) on a part-time basis. I was previously Lead for the Advanced Analytics – Machine Learning area in ABS Group’s Product Development and Innovation (PD&I) Center, where my project clients included the US Department of Defense (DOD) and DHS. I have over 20 years of experience on a range of topics, which includes machine learning / artificial intelligence systems and standards, software development, risk assessment, cybersecurity, chemical, biological, radiological, nuclear and explosives (CBRNE) weapons, and project management. My published work includes papers in the peer-reviewed journals Risk Analysis, Decision Analysis, Science & Global Security, and the Journal of Experimental & Theoretical Artificial Intelligence. I have a Bachelor's degree in chemical engineering from UC San Diego, and a Ph.D. in engineering and public policy from Carnegie Mellon University; I also was an ASME/AAAS fellow to DHS and a Stanton nuclear security fellow at RAND.

 

Opinions that I express are my own, and do not represent the views of DHS nor others.

 

 

EDUCATION

 

Ph.D., Engineering & Public Policy, Carnegie Mellon University (graduated May 2009, defended dissertation December 2008).  Dissertation: Mathematical Modeling and Decision Analysis for Terrorism Defense: Assessing Chlorine Truck Attack Consequence and Countermeasure Cost Effectiveness.  Chair: M. Granger Morgan.

Bachelor of Science, Chemical Engineering, University of California, San Diego (June 2000).

 

 

PROFESSIONAL EXPERIENCE 

 

Senior Technical Advisor, November 2024 – Present

US Department of Homeland Security (DHS) Cybersecurity and Infrastructure Security Agency (CISA) National Risk Management Center (NRMC)

 

Senior Policy Analyst, April 2024 – November 2024, Senior Policy Analyst, August 2021 – April 2024

Berkeley Existential Risk Initiative

·       Embedded as a Visiting Scholar / Non-Resident Fellow with the UC Berkeley Center for Long Term Cybersecurity. 

  • Led AI standards team. Researched AI standards, AI safety and security, and catastrophic risk management. Provided recommendations on related issues to AI standards development organizations, including the US National Institute of Standards and Technology (NIST). Led an effort to create an AI risk-management standards “profile” guidance document for general-purpose AI systems (GPAIS), foundation models, and generative AI, such as cutting-edge large language models. Led research on evaluation of chemical, biological, radiological, nuclear (CBRN) and cyber dual-use capabilities of foundation models.

 

Lead, Advanced Analytics – Machine Learning and Senior Principal Consultant, 2020 – August 2021, Principal Technical Advisor, 2018 – 2019, Senior Risk Analyst, 2013 – 2017

ABS Consulting / ABS Group, Arlington, VA

  • Senior subject matter expert (SME) on quantitative risk analysis team supporting information and communication technology (ICT) supply chain risk management (SCRM) for US Department of Homeland Security (DHS) Cybersecurity and Infrastructure Security Agency (CISA) National Risk Management Center (NRMC).
  • Principal Investigator (PI) on the ABS Consulting team, and Co-PI on the larger University of Maryland team, on an emerging-technology identification and prioritization project sponsored by the US Department of Defense (DOD) Defense Threat Reduction Agency (DTRA).  Included iterative development and beta testing of web platform for eliciting SME judgments; incorporating and enhancing performance of NLP module for document topic modeling; and implementing cybersecurity controls to meet government information assurance requirements.
  • Technical lead and Python coder for development of end-to-end machine learning / artificial intelligence algorithm Python module, as part of Federal government agency innovation award-winning project for natural hazard risk modeling.
  • Led efforts to research and apply machine learning and other data science tools to offshore oil and gas safety-incident data in research study for National Academies.
  • Practice lead on expert elicitation for ABS Consulting; developed and implemented methodology for qualitative and quantitative expert elicitations for a new type of DHS infrastructure security vulnerability assessment.
  • Supported risk analysis and chemical supply chain regulatory impact analysis, and led or contributed research on a wide variety of potential risk analysis methodology improvements, for DHS Infrastructure Security Compliance Division (ISCD) in implementing chemical security and improvised explosive precursor regulations, including the Chemical Facility Anti-Terrorism Standards (CFATS) program.
  • Provided systems engineering and technical assistance at DHS Countering Weapons of Mass Destruction (CWMD) Office / Domestic Nuclear Detection Office (DNDO), supporting risk-informed architecture analysis in areas such as adversary decision and deterrence modeling, global supply chain security, and prioritization of detection and interdiction capability improvements. Also provided CWMD with training and consulting on best practices in elicitation of expert judgment for risk modeling to inform risk management decisions.
  • PI on project for DHS Science and Technology addressing risk assessment of emerging technologies, as well as hazards of enhanced and advanced biological agents.
  • Assisted consideration of game-theoretic adversary modeling and Monte Carlo uncertainty modeling approaches as member of teams supporting Unites States Coast Guard, Transportation Security Administration risk modeling.

 

Stanton Nuclear Security Fellow, 2012 – 2013

RAND Corporation, Arlington, VA

·       Conducted independent research to analyze residual risks of inadvertent and accidental nuclear war scenarios during one-year residential fellowship.

·       Provided quantitative and game-theoretic modeling of escalation dynamics as member of escalation management project team for US Air Force.

·       Supported preparations for tabletop exercises on alternative futures for US Strategic Command.  

 

Co-Founder and Director of Research, 2011 – Present

Global Catastrophic Risk Institute

·       Overseeing GCRI research activities, contributing to GCRI strategic planning and to several GCRI research programs.

·       Co-PI on project team sponsored by the Future of Life Institute (FLI) to analyze opportunities and long term risks of development pathways for extremely advanced artificial intelligence.

·       PI of project team sponsored by DHS Science and Technology via the Homeland Security Center for Risk and Economic Analysis of Terrorism Events (CREATE) to develop and apply methodology for analyzing and managing emerging-threat catastrophe risks from the use and misuse (intentional and otherwise) of rapidly developing technologies such as in synthetic biology; also Co-PI of related project on cyber vulnerabilities.

 

Risk Analyst, 2010 – 2012

ABS Consulting, Arlington, VA

·       Provided systems engineering and technical assistance at DHS Domestic Nuclear Detection Office (DNDO), supporting risk analysis in areas such as adversary decision modeling, global supply chain security, and prioritization of detection and interdiction capability improvements.

·       Performed simulation modelling of US Coast Guard domestic icebreaking missions and capabilities to support assessment of ice breaking operational risks. 

·       Assisted development and implementation of framework, survey, and data analyses as member of team assessing deterrence effectiveness of Unites States Coast Guard fishery law enforcement.

·       Researched and developed game-theory-based analytic methodologies for adaptive adversary modeling for terrorism risk analysis, and defensive system investment decision analysis, as a member of CREATE project team sponsored by DHS Science and Technology. 

·       PI on US DHS Chemical Security Analysis Center (CSAC) project to develop metrics for risk impacts associated with changes in hazardous chemical processes and supply chains.

·       Researched potential analytic methodology improvements for DHS Office of Risk Management and Analysis (RMA) all-hazards homeland security risk analysis program, Risk Assessment Process for Informed Decision-making (RAPID).

·       Assessed risks and risk-reduction potential across a wide range of hazards as part of team supporting DHS RMA’s RAPID program.

 

Postdoctoral Research Associate, 2008 – 2010

Homeland Security Center for Risk & Economic Analysis of Terrorism Events, University of Southern California, Los Angeles, CA

·       Led or contributed to risk analyses and consequence analyses in projects analyzing event risks and countermeasure benefits and costs for radiological dispersal, chlorine release, attacks on critical infrastructure, and other hazards for Ports of Los Angeles and Long Beach, Federal Emergency Management Agency, California Energy Commission, and others.

·       Initiated and led writing of successful white paper and proposal for DHS S&T Broad Agency Announcement (BAA) 10-09, Adaptive Adversary Modeling for Terrorism Risk Analysis; also contributed to several other project funding proposals.

·       Led or participated in reviews of other organizations’ risk analysis and event consequence analysis methodologies.

 

Graduate Research Assistant, 2004 – 2008

Department of Engineering & Public Policy, Carnegie Mellon University, Pittsburgh, PA

·       Estimated acute health consequences of terrorist-caused releases of chlorine and assessed fatality-reduction effectiveness of mitigation measures, using integrated chemical source term, dense-gas dispersion, dose-response, and behavioral models.

·       Estimated implementation costs and life-saving cost-effectiveness for selected chlorine attack mitigation and prevention measures.

 

Federal Fellow to US Department of Homeland Security, 2005

American Society of Mechanical Engineers / AAAS / DHS, Washington, DC

·       Residential fellowship to support strategic risk analysis and infrastructure protection work at DHS.

 

Research Intern, 2004

Program for the Human Environment, Rockefeller University, New York, NY

·       Supported ongoing research and publication.

 

Research Assistant, Energy, 2003

Foundation for Feedback Learning, New York, NY

·       Conducted comprehensive energy audit, conservation and generation project for group of commercial and residential buildings run by nonprofit in New York City. 

 

Senior Research Analyst, 2003, Engineer / Project Engineer, 2000 - 2002

Nexant Inc., Oakland, CA; Madison, WI; White Plains, NY

·       Assisted Nexant’s Petroleum Pricing and Economics Global Industry program, whose databases and reports cover major petrochemical products worldwide. 

·       Contributed research and analysis for a report covering technical, economic, and regulatory aspects of biodiesel fuel. 

·       Assisted implementation of energy efficiency performance contracting incentive programs by evaluating projects’ energy savings estimates, methodologies, and adherence to program requirements.

·       Conducted pre- and post-retrofit site inspections to verify energy consumption patterns of HVAC, process, lighting, and other energy-consuming equipment.

·       Accepted multiple transfers to help staff division offices starting in new locations (WI & NY).

 

Engineer, 1998 – 2000

Solar Solutions LLC, San Diego, CA

·       Helped develop new product: a low cost, portable, solar, drinking water pasteurizer.

·       Researched literature, user needs, competing products, and manufacturing systems.

·       Designed and conducted experiments and calculations to evaluate pasteurizer designs, materials, and costs.

 

 

SOFTWARE EXPERIENCE

 

Programming/tool development, data analysis and visualization, and Web application development, using Python (including Django for Web development and Scikit-Learn for machine learning), R, Matlab, C++, Analytica, DecisionTools, SQL, ArcGIS, Excel, and Tableau; also frequent use of common software such as Word and PowerPoint

 

 

CERTIFICATIONS 

 

Project Management Professional (PMP) (2020)

CompTIA Security+ (2018; renewed 2021)

 

 

PH.D. DISSERTATION      

 

Barrett, A.M.  Mathematical Modeling and Decision Analysis for Terrorism Defense: Assessing Chlorine Truck Attack Consequence and Countermeasure Cost Effectiveness, Doctoral Dissertation, Carnegie Mellon University, May, 2009.

 

 

PUBLICATIONS     

 

Journal Articles (refereed)

Barrett, A.M., “Value of Global Catastrophic Risk (GCR) Information: Cost Effectiveness-Based Approach for GCR Reduction”, Decision Analysis, 2017, Vol. 14, No. 3, pp. 187-203.

Barrett, A.M., and S.D. Baum, “A model of pathways to artificial superintelligence catastrophe for risk and decision analysis”, Journal of Experimental & Theoretical Artificial Intelligence, 2017, Vol. 29, No. 2, pp. 397-414.

Baum, S.D., Barrett, A.M., and Yampolskiy, R.V., 2017. “Modeling and interpreting expert disagreement about artificial superintelligence”, Informatica, Vol. 41, No. 7, pp. 419-428.

Barrett, A. M., S. D. Baum and K. R. Hostetler, “Analyzing and Reducing the Risks of Inadvertent Nuclear War Between the United States and Russia”, Science and Global Security, 2013, Vol. 21, No. 2, pp. 106-133.

Barrett, A.M. and E.A. Casman, “Should Cities Invest in Sheltering-in-Place Measures against Chlorine Truck Attacks by Terrorists?”, Risk Analysis, 2013, Vol. 33, No. 5, pp. 931-944.

Giesecke, J. A., W. J. Burns, A. Barrett, E. Bayrak, A. Rose, P. Slovic, M. Suher, “Assessment of the Regional Economic Impacts of Catastrophic Events: CGE analysis of resource loss and behavioral effects of an RDD attack scenario”, Risk Analysis, 2012, Vol. 32, No. 4, pp. 583-600.

Barrett, A.M. and P.J. Adams, “Chlorine Truck Attack Consequences and Mitigation”, Risk Analysis, 2011, Vol. 31, No. 8, pp. 1243-1259.

Barrett, A.M., “Cost Effectiveness of On-site Chlorine Generation for Chlorine Truck Attack Prevention”, Decision Analysis, 2010, Vol. 7, No. 4, pp. 366-377.

Ausubel, J.H., I.K. Wernick, A.M. Barrett, and P.E. Waggoner, “Industrial ecology for leverage to let loose less cadmium”, Progress in Industrial Ecology, 2006, Vol. 3, No. 6, pp. 522-537.

 

Book Chapters

Barrett, A.M., and S.D. Baum. (2017).  “Risk Analysis and Risk Management for the Artificial Superintelligence Research and Development Process”, in The Technological Singularity: Managing the Journey, Springer.

Baum, S.D., and A.M. Barrett. (2017). “The Most Extreme Risks: Global Catastrophes”, in Risk in Extreme Environments: Preparing, Avoiding Mitigating, and Managing, edited by Vicki Bier, Farnham, UK: Gower.

 

Conference Papers

Barrett, A.M., Newman, J., Nonnecke, B., Hendrycks, D., Murphy, E.R., and K. Jackson (2023) “AI Risk Management Standards Guidance for General Purpose AI and Foundation Models”. In Assured and Trustworthy Human-centered AI (ATHAI), 2023 AAAI Fall Symposium, October 25-27, 2023, Arlington, Virginia. https://drive.google.com/file/d/1pdSUYGs7dEjvwrbJKOodMoQ7VMfi2_Td/view 

Baum, S.D., and A.M. Barrett (2017). “Towards an integrated assessment of global catastrophic risk”. In Garrick BJ (ed.), Proceedings of the First International Colloquium on Catastrophic and Existential Risk, University of California, Los Angeles, pp. 41-62.

Barrett, A.M., “Modeling and Analysis for Robust Risk Management: PortSec Resource Allocation Decision Support Framework”, in Workshop on Grand Challenges in Modeling, Simulation and Analysis for Homeland Security (MSAHS-2010), March 17-18, 2010, Washington, DC.

Orosz, M.D., C. Southwell, A.M. Barrett, N.O. Bakir, J. Chen, and I. Maya. (2009, September).  “PortSec: Port Security Risk Management and Resource Allocation System”, in 12th IFAC Symposium on Control in Transportation Systems, September 2-4, 2009, Redondo Beach, California, pp. 135-142.

Giesecke, J.A., W.J. Burns, A. Barrett, E. Bayrak, A. Rose, and M. Suher, “Regional Economic Damage from Catastrophic Events: Evaluation of Resource Loss and Fear Effects of a RDD Attack Scenario”, in 56th Annual North American Meetings of the Regional Science Association International, November 18-21, 2009, San Francisco, California. 

 

Online Reports

Barrett, A.M., Jackson, K., Newman, J., Madkour, N. and E.R. Murphy (2024). “Benchmark Early and Red Team Often: A Framework for Assessing and Managing Dual-Use Hazards of AI Foundation Models”, UC Berkeley Center for Long-Term Cybersecurity. https://arxiv.org/abs/2405.10986

Barrett, A.M., Newman, J., Nonnecke, B., Hendrycks, D., Murphy, E.R., and K. Jackson (2023). “Can We Manage the Risks of General-Purpose AI Systems?”, Tech Policy Press op-ed, https://www.techpolicy.press/can-we-manage-the-risks-of-generalpurpose-ai-systems/

Barrett, A.M., Newman, J., Nonnecke, B., Hendrycks, D., Murphy, E.R., and K. Jackson (2023). “AI Risk-Management Standards Profile for General-Purpose AI Systems (GPAIS) and Foundation Models”, Version 1.0, UC Berkeley Center for Long-Term Cybersecurity. https://cltc.berkeley.edu/publication/ai-risk-management-standards-profile/

Barrett, A.M., Newman, J., and B. Nonnecke (2023). “Policy Brief on AI Risk Management Standards for General-Purpose AI Systems (GPAIS) and Foundation Models”, UC Berkeley Center for Long-Term Cybersecurity. https://cltc.berkeley.edu/publication/policy-brief-on-ai-risk-management-standards-for-general-purpose-ai-systems-gpais-and-foundation-models/

Barrett, A.M., D. Hendrycks, J. Newman, and B. Nonnecke (2022). “Actionable Guidance for High-Consequence AI Risk Management: Towards Standards Addressing AI Catastrophic Risks”, arXiv, https://arxiv.org/abs/2206.08966

Barrett, A.M. (2016, June). “False Alarms, True Dangers?  Current and Future Risks of Inadvertent U.S. – Russian Nuclear War”, RAND Corporation report. http://www.rand.org/pubs/perspectives/PE191.html

Barrett, A.M. (2014, January).  “Analyzing Current and Future Catastrophic Risks from Emerging-Threat Technologies”.  Research synopsis for CREATE Homeland Security Center, University of Southern California.  http://research.create.usc.edu/cgi/viewcontent.cgi?article=1062&context=current_synopses

 

Unpublished Reports

Barrett, A.M.  (2014, July).  “Final Report on System for Evaluation of Emerging-Technology Risks – Synthetic Biology (SEER-SynBio); Volume 1: Methodology, Volume 2: Synbio Scenarios and Indicators”.  Prepared for CREATE Homeland Security Center, University of Southern California and US Department of Homeland Security.

CREATE.  (2011, June).  “Adaptive Adversary Modeling for Terrorism Risk Analysis: Final Report”.  Prepared by National Center for Risk and Economic Analysis of Terrorism Events (CREATE) team for US Department of Homeland Security.

Barrett, A.M., H. Rosoff, A.G. Newton, and I. Maya.  (2010, June).  “RDD Attack Risk Analysis and Countermeasure Investment Decision Analysis”.  Prepared for US Federal Emergency Management Agency.

Barrett, A.M, N.O. Bakir, and I. Maya.  (2009, August).  “Evaluation of US Coast Guard Terrorism Risk and Decision Analysis Models and Processes for Port, Waterways and Coastal Security”.  Homeland Security Center for Risk & Economic Analysis of Terrorism Events, University of Southern California, Los Angeles, CA.

Vugrin, E.D., D.E. Warren, M.A. Ehlen, A.Z. Rose, and A.M. Barrett.  (2009, August).  “Chemical Supply Chain and Resilience Project: A Resilience Definition for Use in Economic and Critical Infrastructure Resilience Analysis”.  Prepared for Science and Technology Directorate of US Department of Homeland Security.

 

 

CONFERENCE PRESENTATIONS         

 

Barrett, A.M., Newman, J., Nonnecke, B., Hendrycks, D., Murphy, E.R., and K. Jackson (2023) “AI Risk Management Standards Guidance for General Purpose AI and Foundation Models”. Poster at Assured and Trustworthy Human-centered AI (ATHAI), 2023 AAAI Fall Symposium, October 25-27, 2023, Arlington, Virginia.

Barrett, A.M. and G. Ackerman (2019, December).  Risk-Based Prioritization of Technologies in Countering Weapons of Mass Destruction.  Presented at Society for Risk Analysis 2019 Annual Meeting, Arlington, Virginia.

Ackerman, G. and A.M. Barrett (2019, December).  Elicitation of Expert Judgment for Technology Identification and Characterization.  Presented at Society for Risk Analysis 2019 Annual Meeting, Arlington, Virginia.

Sin, S., Ackerman, G., Barrett, A.M. and M. Maxwell (2019, December).  Integrated System for Discovery of Emerging Technologies in Countering Weapons of Mass Destruction.  Presented at Society for Risk Analysis 2019 Annual Meeting, Arlington, Virginia.

Maxwell, M., Bills, A., Schmidt, B., and A.M. Barrett (2019, December).  Machine Learning Models for Technology Identification and Characterization.  Presented at Society for Risk Analysis 2019 Annual Meeting, Arlington, Virginia.

Barrett, A.M. (2019, December).  Value Alignment Strategies for AI Catastrophe Risk Management.  Poster presented at the Society for Risk Analysis Annual Meeting, Arlington, Virginia.

Barrett, A.M. (2019, February).  Machine Learning / Artificial Intelligence Predictive Analytics for Natural Hazard Modeling.  Presented to Military Operations Research Society National Security Risk Analysis Community of Practice, Washington, DC.

Barrett, A.M. (2018, December).  Machine Learning and Expert Judgment to Inform Risk Management Decision Making.  Presented at the Society for Risk Analysis Annual Meeting, New Orleans, Louisiana.

Barrett, A.M. (2018, March).  Value of Information to Inform Catastrophe Risk Management Decisions.  Presented to MORS National Security Risk Community of Practice, Washington, DC.

Barrett, A.M. (2017, December).  HAZOP Based Emerging-Technology Scenario Hazard Screening.  Presented at the Society for Risk Analysis Annual Meeting, Arlington, Virginia.

Barrett, A.M. (2017, December).  Towards Integrated, Comprehensive Assessment of Global Catastrophic Risks to Inform Risk Reduction.  Presented at the Society for Risk Analysis Annual Meeting, Arlington, Virginia.

Barrett, A.M. (2017, May).  Modeling Pathways to Artificial Superintelligence Catastrophe for Risk and Decision Analysis.  Presented at the Fifth Annual Conference on Governance of Emerging Technologies, O’Connor College of Law, Arizona State University, Arizona.

Barrett, A.M. (2017, March).  Towards Integrated, Comprehensive Assessment of Global Catastrophic Risks to Inform Risk Reduction.  Presented at the First Colloquium on Existential and Catastrophic Risk, University of California, Los Angeles.

Barrett, A.M. (2016, December).  Technology Forecasting for Analyzing Future Global Catastrophic Risks.  Presented at the Society for Risk Analysis Annual Meeting, San Diego, California.

Barrett, A.M. and S.D. Baum (2015, December).  Analyzing Long Term Risks of Artificial Intelligence Catastrophe.  Presented at the Society for Risk Analysis Annual Meeting, Arlington, Virginia.

Barrett, A.M. (2014, December).  Analyzing Current and Future Catastrophic Risks from Emerging-Threat Technologies.  Presented at the Society for Risk Analysis Annual Meeting, Denver, Colorado.

Barrett, A.M. (2014, June).  Value of GCR Information: Cost Effective Reduction of Global Catastrophic Risks (GCRs).  Presented at the Advances in Decision Analysis Conference, Washington, DC.

Barrett, A.M. (2013, December).  Analyzing and Reducing the Risks of Inadvertent Nuclear War Between the United States and Russia.  Presented at the Society for Risk Analysis Annual Meeting, Baltimore, Maryland.

Barrett, A.M. (2012, October).  Analyzing and Reducing the Risks of Inadvertent Nuclear War Between the United States and Russia.  Presented at the Program on Nuclear Issues Fall Conference, Center for Strategic and International Studies, Washington, DC.

Barrett, A.M. (2011, December).  Adversary Modeling and Defensive Decision Analysis for Robust Terrorism Risk Management.  Presented at the Society for Risk Analysis Annual Meeting, Charleston, South Carolina.

Barrett, A.M. and S.D. Baum (2011, December).  Towards Consensus on Global Catastrophic Risk Reduction Objectives.  Presented at the Society for Risk Analysis Annual Meeting, Charleston, South Carolina.

Barrett, A. M., V. Bier, T. Jamshidi, C. Wang, S. Hora, R. John, I. Maya and H. Rosoff (2011, September).  Adaptive Adversary Modeling for Terrorism Risk Management. Presented at the Fifth Annual Conference of the Security Analysis and Risk Management Association, Arlington, Virginia.

Barrett, A.M. (2010, March).  Modeling and Analysis for Robust Risk Management: PortSec Resource Allocation Decision Support Framework.  Presented at the Workshop on Grand Challenges in Modeling, Simulation and Analysis for Homeland Security, 2010, Washington, DC.

Barrett, A.M. (2009, December).  Port Security (PortSec) Risk Analysis and Resource Allocation I: Methodology.  Poster presented at the Society for Risk Analysis Annual Meeting, Baltimore, Maryland.

Orosz, M.D., C. Southwell, A.M. Barrett, N.O. Bakir, J. Chen, and I. Maya. (2009, September).  PortSec: Port Security Risk Management and Resource Allocation System.  Presented at the 12th IFAC Symposium on Control in Transportation Systems, Redondo Beach, California.

Barrett, A.M. (2009, April).  Assessing Chlorine Truck Attack Consequence and Countermeasure Cost Effectiveness. Presented at the Los Alamos National Laboratory Risk Symposium, Santa Fe, New Mexico.  Awarded Risk Symposium travel funding.

Barrett, A.M. (2007, December).  Cost-Effectiveness of Mitigation Against Terrorist Release of a Toxic Industrial Chemical.  Presented at the Society for Risk Analysis Annual Meeting, San Antonio, Texas.

Barrett, A.M. (2007, November).  Cost Effectiveness of Mitigation Against a Terrorist Release of a Toxic Industrial Chemical.  Presented at the Institute for Operations Research and the Management Sciences Annual Meeting, Seattle, Washington.

Barrett, A.M. (2006, December).  Estimated Acute Health Consequences and Effectiveness of Consequence Reduction Strategies for Terrorist-Caused Urban Releases of a Toxic Industrial Chemical.  Presented at the Society for Risk Analysis Annual Meeting, Baltimore, Maryland.

Barrett, A.M. (2006, November).  Estimated Consequences and Mitigation Effectiveness for Release of a Toxic Industrial Chemical.  Presented at the Institute for Operations Research and the Management Sciences Annual Meeting, Pittsburgh, Pennsylvania.

Barrett, A.M. (2005, December).  Terrorist-Caused Release of Industrial Toxic-Inhalation-Hazard Chemicals: Lessons and Limits of Risk Assessment.  Presented at the Society for Risk Analysis Annual Meeting, Orlando, Florida.

 

 

HONORS      

 

Stanton Foundation-funded Nuclear Security Fellow, RAND Corporation, 2012 – 2013

National Science Foundation-funded participant in Debating Science workshop and graduate course, University of Montana, 2007

Federal Fellow to US Department of Homeland Security, American Society of Mechanical Engineers / American Association for the Advancement of Science, 2005

 

 

MEMBERSHIPS     

 

Society for Risk Analysis (SRA)

Project Management Institute (PMI)

Network on Emerging Threats (NET)

 

 

ACTIVITIES AND SERVICE

 

Non-Resident Research Fellow, UC Berkeley CLTC AI Security Initiative, Dec 2024 - Present

Advisor, GCRI, Jan 2025 - Present

US AI Safety Institute Consortium (AISIC) working group / task force member and contributor, 2024

InterNational Committee for Information Technology Standards (INCITS) Artificial Intelligence and ISO/IEC JTC 1/SC 42 Artificial Intelligence member and contributor, 2022-2024

NIST Generative AI Public Working Group (NIST GAI-PWG) public volunteer, 2023

Partnership on AI (PAI) Working Group on Guidance for Safe Foundation Model Deployment member and contributor, 2024

Center for AI Safety (CAIS) Action Fund board member and treasurer, January – October 2024

Corresponding author, June 2024, formal comment submission to NIST, “Response to NIST Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile”

Corresponding author, June 2024, formal comment submission to NIST, “Response to NIST Secure Software Development Practices for Generative AI and Dual-Use Foundation Models”

Corresponding author, March 2024, formal comment submission to NTIA, “Response to NTIA Request for Comments on Dual Use Foundation Artificial Intelligence Models with Widely Available Model Weights”

Panel member and speaker, AI risk policy panel at National Press Club, Society for Risk Analysis Meeting, December 2023

Panel member and speaker, Open Loop US launch event, November 2023

Panel member and speaker, ANSI World Standards Week 2023, “Exploring the Power of Generative AI: Expert Perspectives”, October 2023

Panel member and speaker, INCITS/NIST Workshop on the AI RMF and ISO/IEC AI Management System Crosswalk - How to put it into practice, September 2023

Corresponding author, June 2023, formal comment submission to NTIA, “Response to NTIA Request for Comments on AI Accountability Policy”

Corresponding author, March 2023, formal comment submission to NIST, “Response to NIST AI RMF Full Draft Playbook, Roadmap, and Crosswalks”

Panel member and speaker, Building the NIST AI Risk Management Framework: Workshop #3, October 2022, Session 1.3, “Exactly What Is an AI RMF Profile?”

Corresponding author, September 2022, formal comment submission to NIST, “Response to NIST AI RMF 2nd Draft and Initial Playbook”

Corresponding author, May 2022, formal comment submission to NIST, “Response to NIST AI RMF Initial Draft”

Corresponding author, January 2022, formal comment submission to NIST, “Response to NIST AI Risk Management Framework Concept Paper”

Corresponding author, September 2021, formal comment submission to NIST, “Response to NIST AI RMF Request for Information”

Session chair, Society for Risk Analysis Annual Meeting, 2019, Session W4-C, “Early Warning Systems for Emerging or Disruptive Technologies in Countering Weapons of Mass Destruction”

Elected chair, Security and Defense Specialty Group, 2016-2017, Society for Risk Analysis

Session chair, Society for Risk Analysis Annual Meeting, 2017, Session “Conflict Scenarios and Global Catastrophic Risks”

Session chair, Society for Risk Analysis Annual Meeting, 2016, Session “Current and Future Global Catastrophic Risks”

Session chair, Society for Risk Analysis Annual Meeting, 2015, Session M4-B, “Quantifying Armed Conflict and Social Unrest”

Session chair, Society for Risk Analysis Annual Meeting, 2014, Session T2-A, “Global Catastrophic Risk”

Session chair, Advances in Decision Analysis Conference, 2014, Session 3A, “Behavioral Decision Making and Economics”

Session chair, Society for Risk Analysis Annual Meeting, 2013, Session W3-F, “Global Catastrophic Risk”

Session chair, Society for Risk Analysis Annual Meeting, 2011, Session T4-I, “Global Catastrophic Risks”

Panel moderator, Security Analysis and Risk Management Association Fifth Annual Conference, 2011, “Adaptive Adversary Modeling for Homeland Security Applications”

Session co-chair, 12th IFAC Symposium on Control in Transportation Systems, 2009, Session WeCT2, “Traffic Safety” 

Founding coordinator, Security Reading Group, Department of Engineering and Public Policy, Carnegie Mellon University, 2007 – 2008

Session chair, Society for Risk Analysis Annual Meeting, 2007, Session W2-H, “Decision Analysis Support for Emerging Risks/Homeland Security”

Technical consultation to New York Police Department and US Department of Homeland Security after chlorine attacks in Iraq in early 2007. Discussed issues and drafted briefing document regarding possible terrorist use of chlorine and issues for police and security forces to address.

Peer reviewer: Risk Analysis; Futures