Zero Trust Societies and Disruptive Technologies
Panel Description
How do we maintain societal trust as individuals migrate from platform to platform, identities get impersonated, and technologies like ChatGPT and Midjourney produce conversations and images indistinguishable from the truth through malicious prompts or hallucinations. This session will explore the trust threats and emerging trust wars and look to identify solutions that help alleviate these risks.
Heather McMahon, UMD Applied Research Lab for Intelligence and Security
SJ Terp, Cognitive Security Expert
Panelists Biographies
Heather McMahon is the Deputy Director and a Professor of Practice at the Applied Research Lab for Intelligence and Security (ARLIS) at the University of Maryland. As an independent consultant, Heather McMahon’s 29-years of experience across the private and public sectors make her uniquely qualified to bring together technology, systems, and organizations. Heather’s skill set is particularly relevant today as companies struggle to balance risk and reward while defending themselves from the onslaught of threats from state-sponsored IP theft, cyberattacks and malicious insiders. Heather is also a former Senior Defense Intelligence Executive, counterintelligence expert, seasoned combat veteran, and leader. She recently served in the White House as Senior Director at the President’s Intelligence Advisory Board, advising on national security, counterintelligence, human intelligence, insider threat, critical technology protection, supply chain risk management and industrial security.
By or featuring Heather McMahon:
SJ Terp is a cognitive security expert applying information security practices to disinformation and other online harms. Her current focus is on risk management for cognitive and cyber security. Most recently she taught at the University of Maryland iSchool, and built research and tools that include the DISARM disinformation data sharing frameworks, for running and operating cognitive security operations centres. Her background includes information fusion, crowdsourcing, unmanned systems (including human-machine teaming), data governance, nationstate development, and crisis response.
X: @bodaceacat | SJ Terp at LinkedIn
By or featuring SJ Terp:
- Blog
- DISARM: a Framework for Analysis of Disinformation Campaigns
- https://medium.com/disarming-disinformation
- Cognitive Security in Theory in Practice
- SJ Terp, FiveBy team, “Enterprise appropriate responses to disinformation risks“, FiveBy report, 2021
Additional OODA Loop Resources
On Trust and Zero Trust: New Paradigms of Trust, Designing Trust into Systems and Trustworthy AI: The future of trust is a broad research theme at OODA Loop, overlapping with topics like the future of money (ie. the creation of new value exchange mechanisms, value creation and value storage systems – and the role trust will play in the design of these new monetary systems). Likewise, notions of trust (or lack thereof) will impact the future of Generative AI, AI governance (i.e. Trustworthy AI) and the future of autonomous systems and exponential technologies generally. This post is a compilation of OODA Loop Original Analysis and OODAcast conversations concerned with trust, zero trust and trustworthy AI.
The Future of the Internet, Trust and Web3: Data and Digital Sovereignty Versus Digital Self-Sovereignty: Charles Clancy, Chief Futurist at MITRE, and his co-authors of a recent report – “Democratizing Technology: Web3 and the Future of the Internet” – provide the best framing of a “robust and decentralized, democratized alternative to the existing technology stack” and “the establishment and advancement of alternative technological paradigms to protect the public interest by making authoritarian misuse difficult or impossible.”
For OODA Loop News Briefs and Original Analysis on the topic of Trust, see OODA Loop | Trust
For more OODA Loop News Briefs and Original Analysis on Zero Trust, got to OODA Loop | Zero Trust
For more OODA Loop News Briefs and Original Analysis on Trustworthy AI, got to OODA Loop | Trustworthy AI
