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Explore every episode of the podcast Trust Control

Dive into the complete episode list for Trust Control. Each episode is cataloged with detailed descriptions, making it easy to find and explore specific topics. Keep track of all episodes from your favorite podcast and never miss a moment of insightful content.

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TitlePub. DateDuration
7.0 The Trust IS a Feeling (and Closing Thoughts) Episode21 Jul 202600:12:19
Trust Control is the culmination of more than 10 months of human, non-AI assisted exploration and process. It is the product of deep research rabbit hole digging; journalistic interviews; idea organizing; contemplation and articulation; writing and re-writing; re-re-writing; microphone jabber; digitized audio manipulation; more contemplation and articulation; re-re-re-writing and re-recording; and...well...you get the picture.    The project took many twists and turns along the way. In this episode, you'll hear a bit about Trust Control creator Kate Kaye's process and some of the overarching ideas that emerged from inside her (humble, fallible and messy) human brain.

In this episode:
  • The power and meaning of trust as unarticulated alchemy
  • Why and how Trust Control evolved as an artistic and philosophical endeavor
  • Unexpected trust measurement patterns discovered
  • A look ahead to full-length Trust Control interview episodes and related work
People Featured in this Episode:
  • Kate Kaye, Trust Control creator and narrator

Key Reference 

What Art Does: An Unfinished Theory by Brian Eno and Bette A. (Adriaanse)
(also see the authors speak about the book here.)

6.0 The New Trust Paradigm Episode: Scoring Trustworthiness of Human and AI Agent "Workers"21 Jul 202600:57:57
TRUST CONTROL: Trust is no longer a feeling.

6.0 The New Trust Paradigm Episode: Scoring Trustworthiness of Human and AI Agent "Workers"    It's starting to happen at work and inside a blockchain-based online dispute resolution platform: A new trust paradigm is unfolding in which the technical trust measures needed by computers and bots are beginning to seep into human ideas of trust. Some people believe we're already on a trajectory toward continuous, machine-readable trust scores and "continuous proof of humanity." Indeed, some say that "trust is no longer a feeling." 

Business and tech consultancies like McKinsey and Company say AI agents are workers, just like human employees. And that means humans will be forced to prove their trustworthiness using the same computational trust signals bots like Eudamon, Reefwatcher and the other AI agents featured in the first episode of Trust Control are measured by. Indeed, the lines are blurring.    In this episode:
  • Agentic trust scoring startups
  • The demand for continuous, machine readable trust scoring of agents and humans
  • Questioning assumptions of transparency-based blockchain trustworthiness
  • The future of AI agent juries and judges in blockchain dispute resolution "courtrooms"


People Featured in this Episode:
  • Kate Kaye, Trust Control creator and narrator
  • Michael Fauscette, Founder, CEO and Chief Analyst of Arion Research
  • Cemre Çise Kadıoğlu Kumtepe, Assistant Professor, Department of Information and Technology Law, Ankara University, Türkiye

Key References (Mostly) in Order of Appearance

PART ONE

Benchmarking real-time trust scoring across five AI Agent architectures
CleanLab
2025
See also: Handshake acquires CleanLab (2026)

The agentic organization: Contours of the next paradigm for the AI era
McKinsey and Company
2025

State of AI trust in 2026: Shifting to the agentic era
McKinsey ad Company
2026

Building the Digital Workforce
by Michael Fauscette
2025

PART TWO

European Union Digital Services Act
Article 21
2022
See also: Out-of-court dispute settlement bodies under the Digital Services Act (DSA)

Kleros in the Agentic Society: AI Jurors, Kill Switches & the Future of Dispute Resolution
Kleros
2026

Unpacking the technology of trust: establishing trust and fairness in online dispute resolution through blockchain and smart contracts
International Journal of Law and Information Technology
by Cemre Çise Kadıo?lu Kumtepe
2025

Due Process in Blockchain Dispute Resolution Theory and Compliance
by Cemre Çise Kadıo?lu Kumtepe
2026

Unveiling the Kleros Court MCP Server
(see Use Case 1: Automated Due Diligence Agent)
Skywork
2025

Schelling Points: Why Kleros Jurors Converge on the Truth 
Kleros
2026

Thomas Schelling, Nobel Laureate and Longtime RAND Consultant, Dies at 95
Rand
2016

The Strategy of Conflict Prospectus for a Reorientation of Game Theory
by Thomas C. Schelling
The Journal of Conflict Resolution
1958

Trust and Suspicion
by Morton Deutsch
Journal of Conflict Resolution
1958

The effect of motivational orientation upon trust and suspicion
by Morton Deutsch
Human Relations
1960

PART THREE

Evaluations for the agentic world
Agentic AI from QuantumBlack, AI by McKinsey
2026

iTWire TV interview with Lakshmi Hanspal, Digicert
2026

Trust Control Credits
Trust Control was researched, written, edited and produced by Kate Kaye. All interviews with sources featured in Trust Control were conducted by Kate unless otherwise noted.

Fake ads and silly satire was voiced by Kate Kaye and/or Kyle Huth

Music
The tunes featured throughout Trust Control were written by D. Rives Curtright and performed by the band Epic Strange from Trust Control's home of Portland, Oregon:

  • D. Rives Curtright: guitar, baritone sax, percussion and drum machine
  • Charlie Gotgart: bass
  • Steven Francisco: midi keys
  • Octavio Dowling: keys
  • Dave Coniglio: drums and vibraphone
  • Mike McGovern: bass on Decimation

Hear the full Epic Strange album, Nouveau Electric Mess, on Soundcloud. Hear music from D. Rives Curtright on Spotify.

The work that went into Trust Control was done in Kate Kaye's personal time and was supported by Oregon State University's Patricia Valian Reser Center for the Creative Arts fellowship on Trust in the Age of Generative AI and Oregon Humanities.


5.0 The Measuring Trustworthiness of Media Episode (Part Two: The Limits of Computational Trust)21 Jul 202600:39:07
When Brooklyn, New York photographer and entrepreneur Tiffany Walling McGarity crafted stunning portraits of friends using the very old tintype method, she wanted to preserve them, and the provenance of the images, in digital form. But she discovered that a technical method promising trustworthiness through a computational trust approach deemed her work "invalid" and exposed the downsides of technical trust approaches that reinforce existing institutional power structures.   In this episode:
  • Trustworthiness metadata, media trust signals, and "content credentials"
  • News industry assumptions about technical media trustworthiness and and authenticity measures
  • What computational trust measures miss that news journalism consumers care about
  • The push for a zero trust-style distrust-first approach to media and news and who gets left out
  • The blurring lines of technical and human trust

People Featured in this Episode

  • Kate Kaye, Trust Control creator and narrator
  • Tiffany Walling McGarity, Photographer, Co-founder and CEO of Metapyxl
  • Tessa Sproule, Director of Metadata and Information Management at the English division of CBC Radio Canada 
  • Lynn Walsh, Journalist, Assistant Director of Trusting News, Chairwoman of the Society of Professional Journalists' Ethics Committee

Key References (Mostly) in Order of Appearance

PART ONE

Tiffany Walling McGarity's Digitized Tintype Photos
Tintype portrait of Matthew Perino
Tintype portrait of Amanda Hollaback
Photography by: Walling McGarity
Both plates poured and processed on location in Brooklyn, NY by Gair Wissenbach

Nous avons été témoins, nous pouvons le prouver
(translation: We have witnessed it, we can prove it.)
Agence France Presse video
2025

Content Credentials (C2PA)
(Also see C2PA technical specifications)

In Post-Authenticity AI Age, Knowledge Institutions Matter More than Ever
By John Wihbey 
Tech Policy Press
2025

NYT's Canada Bureau Chief Used AI for Fake Poilievre Quote ft. Michelle Cyca
The North State
2026

Journalism fact-checking is "an infrastructure problem"
LinkedIn Post 
Erik Svilich, Encypher CEO
2026

PART TWO

Instagram Photos Are Being Labeled 'Made With AI' When They're Not
By Matt Growcoot
PetaPixel
2024 

PART THREE

JPEG Trust

Origin Lens: Reclaiming Trust on the AI-Mediated Web Through On-Device Image Provenance Verification
by Alexander Loth, et al
WebSci Companion '26: Companion Publication of the 2026 18th ACM Web Science Conference
2026

"if you can't prove it's real, it's not."
Comment on LinkedIn Post
2026

Trust Control Credits
Trust Control was researched, written, edited and produced by Kate Kaye. All interviews with sources featured in Trust Control were conducted by Kate unless otherwise noted.

Fake ads and silly satire was voiced by Kate Kaye and/or Kyle Huth

Music
The tunes featured throughout Trust Control were written by D. Rives Curtright and performed by the band Epic Strange from Trust Control's home of Portland, Oregon:

  • D. Rives Curtright: guitar, baritone sax, percussion and drum machine
  • Charlie Gotgart: bass
  • Steven Francisco: midi keys
  • Octavio Dowling: keys
  • Dave Coniglio: drums and vibraphone
  • Mike McGovern: bass on Decimation

Hear the full Epic Strange album, Nouveau Electric Mess, on Soundcloud. Hear music from D. Rives Curtright on Spotify.

The work that went into Trust Control was done in Kate Kaye's personal time and was supported by Oregon State University's Patricia Valian Reser Center for the Creative Arts fellowship on Trust in the Age of Generative AI and Oregon Humanities.

4.0 The Measuring Trustworthiness of Media Episode (Part One: Propaganda and Journalism's Trust Assumptions)21 Jul 202600:45:58
TRUST CONTROL: Trust is no longer a feeling.

4.0 The Measuring Trustworthiness of Media Episode (Part One: Propaganda and Journalism's Trust Assumptions) 


During World War II, the time Carl I. Hovland spent evaluating the effects of U.S. propaganda films on U.S. Army recruits inspired his research measuring information and communication trustworthiness and helped propel the field. Since that time, people have designed all sorts of methods and models in attempts to gauge trustworthiness of media and information. This is the first part of a two-part episode exploring measurement of trustworthiness of media, information, communication, news and even art.   In this episode: 

  • U.S. Army propaganda films and analysis of "the sleeper effect" on perception of information source trustworthiness
  • Early Cold War inspired U.S. military industrial complex and Rockefeller Foundation funding of trust measurement amid the Red Scare and McCarthyism
  • Models and methods for scoring and even color-coding trustworthiness of information and news
  • The historical links between "measuring" the aesthetic value of music and art and measuring media trustworthiness
  • Why some trustworthiness measurement methods may not cure news journalism's low trust problem



People Featured in this Episode:

  • Kate Kaye, Trust Control creator and narrator
  • Tosan Atele-Williams, Academic Associate in the Faculty of Business and IT and Computational Trust Researcher at Ontario Tech University
  • Lynn Walsh, Journalist, Assistant Director of Trusting News, Chairwoman of the Society of Professional Journalists' Ethics Committee
  • Matt Skibinski, Newsguard Chief Operating Officer

Key References (Mostly) in Order of Appearance

PART ONE

Why We Fight: The Battle of Britain
U.S. National Archives
1943

Experiments on Mass Communication
by Carl I. Hovland, et al.
Princeton University Press
1949

The Influence of Source Credibility on Communication Effectiveness
by Carl I. Hovland and Walter Weiss
The Public Opinion Quarterly
Winter, 1951-1952

The Measurement of Trust in Communication Research Part 1
by Paola Pascual-Ferrá
Communication Research Trends

Wikipedia models of trust workshop paper Investigations into Trust for Collaborative Information Repositories: A Wikipedia Case Study
by Deborah L. McGuinness, et al
Models of Trust for the Web (MTW'06)
2006

PART TWO

Information Trust Model
by Tosan Atele-Williams and Stephen Marsh
Cognitive Systems Research
2023

Towards a Computational Model of Information Trust
by Tosan Atele-Williams and Stephen Marsh
Trust Management XII
International Federation for Information Processing (IFIP) Advances in Information and Communication Technology
(see p. 124)
2018

infoDNA (Version 2) - Agent Enhanced Trustworthy Distributed Information
by Stephen Marsh
2004

Aesthetic Measure
by George D. Birkhoff
1933

NewsGuard Website Rating Process and Criteria

Trust Control Credits
Trust Control was researched, written, edited and produced by Kate Kaye. All interviews with sources featured in Trust Control were conducted by Kate unless otherwise noted.

Fake ads and silly satire was voiced by Kate Kaye and/or Kyle Huth

Music
The tunes featured throughout Trust Control were written by D. Rives Curtright and performed by the band Epic Strange from Trust Control's home of Portland, Oregon:

  • D. Rives Curtright: guitar, baritone sax, percussion and drum machine
  • Charlie Gotgart: bass
  • Steven Francisco: midi keys
  • Octavio Dowling: keys
  • Dave Coniglio: drums and vibraphone
  • Mike McGovern: bass on Decimation

Hear the full Epic Strange album, Nouveau Electric Mess, on Soundcloud. Hear music from D. Rives Curtright on Spotify.

The work that went into Trust Control was done in Kate Kaye's personal time and was supported by Oregon State University's Patricia Valian Reser Center for the Creative Arts fellowship on Trust in the Age of Generative AI and Oregon Humanities.

3.0 The History (and Residue) of Measuring Trust in AI Episode21 Jul 202601:08:13
TRUST CONTROL: Trust is no longer a feeling.

3.0 The History (and Residue) of Measuring Trust in AI Episode
  Roger C. Mayer and his fellow researchers introduced an influential trust model in 1995 in the Academy of Management Review. The impetus for their work? Corporate managers worried they were losing control of workers amid big changes. There were more people of color and women entering the workforce, plus workers upheaval in emerging self-directed teams could not be monitored as they once were. Little did Mayer and his co-authors James H. Davis and F. David Schoorman know that decades later their ABI (Ability, Benevolence and Integrity) trust model would become heavily influential in trust in AI related research. 

   This episode of Trust Control is all about the historical ideas and "residue" that perpetuate today throughout trust measurement. Why do we see the same old trust measurement ideas, applied in questionable ways?

In this episode:
  • Corporate motivations for measuring worker trust and trustworthiness
  • Why the Mayer ABI model may not be right for AI
  • How antiquated and sometimes poorly-tested ideas get baked into today's trust measurement
  • Under- and over-trusting AI
  • W- E- I -R -D history (Western Educated Industrialized Rich Democratic) of trust measurement
  • Military funding of trust measurement from the Cold War to today

Featured in this episode:

  • Kate Kaye, Trust Control creator and narrator
  • Roger C. Mayer, Professor of Leadership in the Poole College of Management at North Carolina State University
  • Bran Knowles, Professor of Sociotechnical Systems at Lancaster University, UK
  • Gale Lucas, Director of the Technology Evaluation Lab at the University of Southern California's Institute for Creative Technologies, Research Associate Professor in USC's Departments of Civil Engineering, Computer Science and Psychology
  • Meredith McNeil, Senior Research Scientist and Team Leader of the Genome to Phenome Team at Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
  • Andreas Duenser, Research Scientist at Data 61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia

Key References (Mostly) in Order of Appearance

PART ONE

Twenty-four years of empirical research on trust in AI: a bibliometric review of trends, overlooked issues, and future directions
by Michaela Benk, et al
2024

An Integrative Model of Organizational Trust
by Roger C. Mayer, James H. Davis, and F. David Schoorman
1995

The Sanction of Authority: Promoting Public Trust in AI
by Bran Knowles and John T. Richards
FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency
2021

PART TWO

Designing for Appropriate Reliance in Trust in Automation
by John D. Lee and Katrina A. See
Human Factors and Ergonomics Society 
2004

A New Scale for the Measurement of Interpersonal Trust
by Julian Rotter
Journal of Personality
1967

PART THREE

A Novel Method for Trust-Sensitive Design: Applying Conjoint Analysis to Machine-Assisted Genome Annotation
by Melanie McGrath, et al (including Andreas Duenser)
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
2025 Measuring trust in artificial intelligence: validation of an established scale and its short form by Melanie McGrath, et al (including Andreas Duenser)
Frontiers in Artificial Intelligence
2025 Task Load Index
by Sandra Hart
NASA Human Performance Research Group
1986
(also see this link)

Participants matter: Effectiveness of VR-based training on the knowledge, trust in the robot, and self-efficacy of construction workers and university students by Pooya Adami, et al including Gale Lucas
Advanced Engineering Informatics
2023

Trust and Suspicion
by Morton Deutsch
Journal of Conflict Resolution
1958

The Original Prisoner's Dilemma Game distributed at 1950 Stanford University event
(originally called "A Two*Person Dilemma")
A.W. Tucker
1950
More info here

Foundations for an empirically determined scale of Trust in Automated Systems 
by Jiun-Yin Jian, et al
Center for Multisource Information Fusion
Department of Industrial Engineering
State University of New York at Buffalo
1998
(Also published in the International Journal of Cognitive Ergonomics, 2000)

Trust Control Credits
Trust Control was researched, written, edited and produced by Kate Kaye. All interviews with sources featured in Trust Control were conducted by Kate unless otherwise noted.

Fake ads and silly satire was voiced by Kate Kaye and/or Kyle Huth

Music
The tunes featured throughout Trust Control were written by D. Rives Curtright and performed by the band Epic Strange from Trust Control's home of Portland, Oregon:

  • D. Rives Curtright: guitar, baritone sax, percussion and drum machine
  • Charlie Gotgart: bass
  • Steven Francisco: midi keys
  • Octavio Dowling: keys
  • Dave Coniglio: drums and vibraphone
  • Mike McGovern: bass on Decimation

Hear the full Epic Strange album, Nouveau Electric Mess, on Soundcloud. Hear music from D. Rives Curtright on Spotify.

The work that went into Trust Control was done in Kate Kaye's personal time and was supported by Oregon State University's Patricia Valian Reser Center for the Creative Arts fellowship on Trust in the Age of Generative AI and Oregon Humanities.

2.0 The Measuring Trust in AI and Automation Episode21 Jul 202600:50:46

TRUST CONTROL: Trust is no longer a feeling.

2.0 The Measuring Trust in AI and Automation Episode

When trust researcher Gale Lucas measured construction workers' trust in a demolition robot they had to use on the job site, the study had support from the demolition robot's manufacturer and got funding from the U.S. Army Research Office. But why? Who is trust measurement done for and who is it done...to? In this episode focused on measuring trust in AI and automated systems, we'll dig deeper into how and why some measurement of trust in AI happens.

In this episode:

  • Measuring trust in a demolition robot and a genetic data tool
  • Measuring worker trust in automation and AI
  • Using physiological data like heart rate and brain activity data to measure trust in AI
  • Why AI transparency and transparency regulations don't necessitate trust or trustworthiness
  • Government and military funding of AI and automation trust measurement



Featured in this episode:

  • Kate Kaye, Trust Control creator and narrator
  • Gale Lucas, Director of the Technology Evaluation Lab at the University of Southern California's Institute for Creative Technologies, Research Associate Professor in USC's Departments of Civil Engineering, Computer Science and Psychology
  • Andreas Duenser, Research Scientist at Data 61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
  • Bran Knowles, Professor of Sociotechnical Systems at Lancaster University, UK
  • Meredith McNeil, Senior Research Scientist and Team Leader of the Genome to Phenome Team at Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia

Key References (Mostly) in Order of Appearance

PART ONE

Participants matter: Effectiveness of VR-based training on the knowledge, trust in the robot, and self-efficacy of construction workers and university students 
by Pooya Adami, et al including Gale Lucas
Advanced Engineering Informatics
2023

Oxytocin increases trust in humans
by Michael Kosfeld, et al
Nature
2005

In AI We Trust: Investigating the Relationship between Biosignals, Trust and Cognitive Load in VR
by Kunal Gupta, et al including Andreas Duenser
Proceedings of the 25th ACM Symposium on Virtual Reality Software and Technology
2019

PART TWO

Meta Muse Spark Transparency Report
Meta
2026
(See EU AI Act Transparency Reports/2026-Muse Spark)

Meta Muse Spark Safety and Preparedness Report
Meta
2026

Meta Deletes Face-Recognition System From Its Smart Glasses App After WIRED Report
by Dhruv Mehrotra and Dell Cameron
Wired
2026

The Sanction of Authority: Promoting Public Trust in AI
by Bran Knowles and John T. Richards
FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency
2021

PART TWO A Novel Method for Trust-Sensitive Design: Applying Conjoint Analysis to Machine-Assisted Genome Annotation
by Melanie McGrath, et al (including Andreas Duenser)
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
2025

PART THREE Measuring trust in artificial intelligence: validation of an established scale and its short form by Melanie McGrath, et al (including Andreas Duenser)
Frontiers in Artificial Intelligence
2025

Foundations for an empirically determined scale of Trust in Automated Systems
by Jiun-Yin Jian, et al
Center for Multisource Information Fusion
Department of Industrial Engineering
State University of New York at Buffalo
1998
(Also published in the International Journal of Cognitive Ergonomics, 2000) 

Trust Control Credits
Trust Control was researched, written, edited and produced by Kate Kaye. All interviews with sources featured in Trust Control were conducted by Kate unless otherwise noted.

Fake ads and silly satire were voiced by Kate Kaye and/or Kyle Huth

Music
The tunes featured throughout Trust Control were written by D. Rives Curtright and performed by the band Epic Strange from Trust Control's home of Portland, Oregon:

  • D. Rives Curtright: guitar, baritone sax, percussion and drum machine
  • Charlie Gotgart: bass
  • Steven Francisco: midi keys
  • Octavio Dowling: keys
  • Dave Coniglio: drums and vibraphone
  • Mike McGovern: bass on Decimation

Hear the full Epic Strange album, Nouveau Electric Mess, on Soundcloud. Hear music from D. Rives Curtright on Spotify.

The work that went into Trust Control was done in Kate Kaye's personal time and was supported by Oregon State University's Patricia Valian Reser Center for the Creative Arts fellowship on Trust in the Age of Generative AI and Oregon Humanities.


 

 

1.0 The Intro Episode21 Jul 202601:03:31

TRUST CONTROL: Trust is no longer a feeling.

1.0 The Intro Episode

When self-described "trust scientist" Stephen Marsh first introduced the concept of mathematically modeling and computing trust in an influential 1994 thesis paper, he had an inkling that computerized agents would need "computational trust." But back then did the quirky "nano-farmer" ever envision that decades later AI agents with funny names like Eudamon and Reefwatcher would discuss trust on a social network for bots? 

This introduction to Trust Control lays some groundwork about concepts discussed throughout the show including trust measurement and proxies for measuring trust and trustworthiness, zero trust and computational trust, numerical and quantified trust measures and scores, digital data use and impacts, and more. 

In this episode:

  • How computers trust and the origins of "zero trust"
  • Why we measure…well…anything
  • Can you snort trust? (Unexpected methods and proxies used to measure trust and trustworthiness)
  • Putting a number on trust with trust scores
  • The human side of trust that numbers miss
  • Pushback on measuring trust for computers

· Featured in this episode:

  • Kate Kaye, Trust Control creator and narrator
  • Tosan Atele-Williams, Academic Associate in the Faculty of Business and IT and Computational Trust Researcher at Ontario Tech University
  • WarīNkwī Flores, Kara-Kichwa Citizen of the Andean Karas, Citizen of the Kichwa Andean-Amazonian People of Ecuador and Land Trustee, Kinray Hub Indigenous Research and Development Primary Investigator, Graduate Research Associate at University of Arizona
  • Gale Lucas, Director of the Technology Evaluation Lab at the University of Southern California's Institute for Creative Technologies, Research Associate Professor in USC's Departments of Civil Engineering, Computer Science and Psychology
  • Andreas Duenser, Research Scientist at Data 61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
  • Bran Knowles, Professor of Sociotechnical Systems at Lancaster University, UK

Sunday political talk show parody
John McBlather voiced by Kyle Huth
Eudamon, Claudia, Reefwatcher and Guardbot AI agents voiced by Kate Kaye and Kyle Huth

Key References (Mostly) in Order of Appearance

PART ONE
The trust bootstrapping problem: how do you verify an agent you have never met?
by eudaemon_0, et al
MoltBook
2026

Formalising Trust as a Computational Concept 
by Stephen Paul Marsh
Department of Computing Science and Mathematics, University of Stirling
1994

Trust Systems
by Stephen Marsh
Open Education Lab, Ontario Tech University
2021

Information Trust Model
by Tosan Atele-Williams and Stephen Marsh
Cognitive Systems Research
2023

Build Security Into Your Network's DNA: The Zero Trust Network Architecture
by John Kindervag
Forrester Research
2010

Aesthetic Measure
by George D. Birkhoff
1933

PART TWO

In AI We Trust: Investigating the Relationship between Biosignals, Trust and Cognitive Load in VR
by Kunal Gupta, et al (including Andreas Duenser)
Proceedings of the 25th ACM Symposium on Virtual Reality Software and Technology
2019

Trust Me: Multimodal Signals of Trustworthiness
by Gale Lucas, et al
Proceedings of the 18th ACM International Conference on Multimodal Interaction
2016

Human rights groups demand Zoom stop any plans for controversial emotion AI
By Kate Kaye
Protocol 
2022

The Benefits of Interactions with Physically Present Robots over Video-Displayed Agents
by Wilma A. Bainbridge, et al
International Journal of Social Robotics 3
2011

Guidebook for the Development and TEVV of LAWS to Promote Trustworthiness
by Andrew O. Mellinger, et al
Carnegie Mellon University Center for Calibrated Trust Measurement and Evaluation (CATE)
2025

PART THREE

Under Ideal Conditions
by Al Zolynas
Published in Under Ideal Conditions
1994

iTWire TV interview with Lakshmi Hanspal, Digicert
2026

Trust Control Credits
Trust Control was researched, written, edited and produced by Kate Kaye. All interviews with sources featured in Trust Control were conducted by Kate unless otherwise noted.

Fake ads and silly satire were voiced by Kate Kaye and/or Kyle Huth

Music
The tunes featured throughout Trust Control were written by D. Rives Curtright and performed by the band Epic Strange from Trust Control's home of Portland, Oregon:

  • D. Rives Curtright: guitar, baritone sax, percussion and drum machine
  • Charlie Gotgart: bass
  • Steven Francisco: midi keys
  • Octavio Dowling: keys
  • Dave Coniglio: drums and vibraphone
  • Mike McGovern: bass on Decimation

Hear the full Epic Strange album, Nouveau Electric Mess, on Soundcloud. Hear music from D. Rives Curtright on Spotify.

The work that went into Trust Control was done in Kate Kaye's personal time and was supported by Oregon State University's Patricia Valian Reser Center for the Creative Arts fellowship on Trust in the Age of Generative AI and Oregon Humanities.

 

 

 

0.0 The Welcome to Trust Control Episode21 Jul 202600:09:01

TRUST CONTROL: Trust is no longer a feeling.

0.0 The Welcome to Trust Control Episode

This is the Trust Control show trailer. You'll hear about what's in each full-length episode and hear some examples of the voices and sometimes silly satire featured throughout the show. It's a short episode. Give it a try!

In this episode you'll hear descriptions of:

  • Episode 0.0 The Welcome to Trust Control Episode
  • Episode 1.0 The Intro Episode
  • Episode 2.0 The Measuring Trust In AI and Automation Episode
  • Episode 3.0 The AI Trust Measurement History and Residue Episode
  • Episode 4.0 The Measuring Media Trustworthiness Episode (Part One: Trustworthy Propaganda and Journalism's Trust Assumptions)
  • Episode 5.0 The Measuring Media Trustworthiness Episode (Part Two: The Limits of Computational Trust)
  • Episode 6.0 The Scoring Human and AI Agent "Worker" Trustworthiness Episode
  • Episode 7.0 The Closing Thoughts and What's Next Episode

Trust Control Credits
Trust Control was researched, written, edited and produced by Kate Kaye. All interviews with sources featured in Trust Control were conducted by Kate unless otherwise noted.

Fake ads and silly satire were voiced by Kate Kaye and/or Kyle Huth

Music
The tunes featured throughout Trust Control were written by D. Rives Curtright and performed by the band Epic Strange from Trust Control's home of Portland, Oregon:

  • D. Rives Curtright: guitar, baritone sax, percussion, and drum machine
  • Charlie Gotgart: bass
  • Steven Francisco: midi keys
  • Octavio Dowling: keys
  • Dave Coniglio: drums and vibraphone
  • Mike McGovern: bass on Decimation

Hear the full Epic Strange album, Nouveau Electric Mess, on Soundcloud. Hear music from D. Rives Curtright on Spotify.

The work that went into Trust Control was done in Kate Kaye's personal time and was supported by Oregon State University's Patricia Valian Reser Center for the Creative Arts fellowship on Trust in the Age of Generative AI and Oregon Humanities.

© My Podcast Data · Independent project · Data from Apple & Spotify