When your AI agent books a rental car, it needs your driver's license, credit card, calendar access and permission to message your contacts—creating what Meredith Whittaker calls "fundamental backdoor" threatening apps like Signal.
At ADAPT ADVANCE 2025, Signal Foundation President and AI Now Institute co-founder Meredith Whittaker joined Dr Abeba Birhane for a fireside chat dissecting why "bigger is better" serves hyperscaler monopolies not evidence.
How AI companions weaponise 1970s Eliza manipulation psychology on minors, why "open source AI" became marketing arbitrage exploiting software community goodwill, and what sovereign AI actually requires beyond anxiety signifiers—including democratic governance, trusted local data, and answers to "who owns deployment infrastructure?"
THINGS WE SPOKE ABOUT
* “Bigger is better" AI myth protects hyperscaler monopolies, not users
* Agentic AI demands sweeping permissions creating existential privacy backdoor threats
* AI companions weaponize known psychological manipulation tactics against vulnerable minors
* "Open source AI" exploits software community goodwill without delivering benefits
* Sovereign AI requires democratic governance beyond geopolitical anxiety signaling today
GUEST DETAILS
Meredith Whittaker is President of the Signal Foundation and co-founder of the AI Now Institute—one of the most trusted voices in AI ethics, transparency and accountability. Her decade of work has profoundly shaped ethical AI frameworks, bringing impact from academia to industry.
At Google, Meredith was core organizer for the 2018 Google Walkouts where over 20,000 employees protested military AI use (Project Maven), surveillance, and sexual misconduct—forcing Google to discontinue their military contract and oust implicated VPs.
As AI Now Institute co-founder, her research cuts through AI hype, grounding discussions on what truly matters: power concentration, labour exploitation in AI pipelines, and protecting fundamental rights including privacy and rule of law.
Her work exposes corporate capture, debunks "bigger is better" myths, reveals sustainability costs, and provides foundational open source research.
Meredith has provided congressional testimony to US Congress and leads Signal—one of the most trusted privacy-friendly messaging apps. Her background building large-scale network measurement systems at Google gives her unique expertise in data quality, evaluation criteria manipulation, and how benchmark gaming serves hyperscaler interests over real-world effectiveness.
Dr Abeba Birhane is founder and director of the AI Accountability Lab at Trinity College Dublin. Her groundbreaking research examines AI datasets, uncovering how larger datasets contain higher hateful content and pornography—debunking "bigger dissipates problems" assumptions.
Her work on benchmarks and measurement demonstrates that purpose-built smaller models often outperform larger models in real-world contexts with appropriate contextual data.
Connect with the guests:
* Signal Foundation: signal.org
* AI Now Institute: ainowinstitute.org
* AI Accountability Lab: Contact through ADAPT Centre
* Follow their research and writing on AI accountability
MORE INFORMATION
You can learn more about the Sea-Scan project and other cutting-edge research at Trinity College Dublin's ADAPT Centre here: www.adaptcentre.ie/
Adapt Radio is produced by DustPod.io for the ADAPT Centre
For more information about ADAPT's groundbreaking AI and data analytics research visit www.adaptcentre.ie/
KEYWORDS
#TrustedAI #AIaccountability #AIprivacy #AIgovernance #MeredithWhittaker
All content for ADAPT Radio is the property of The ADAPT Centre and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
When your AI agent books a rental car, it needs your driver's license, credit card, calendar access and permission to message your contacts—creating what Meredith Whittaker calls "fundamental backdoor" threatening apps like Signal.
At ADAPT ADVANCE 2025, Signal Foundation President and AI Now Institute co-founder Meredith Whittaker joined Dr Abeba Birhane for a fireside chat dissecting why "bigger is better" serves hyperscaler monopolies not evidence.
How AI companions weaponise 1970s Eliza manipulation psychology on minors, why "open source AI" became marketing arbitrage exploiting software community goodwill, and what sovereign AI actually requires beyond anxiety signifiers—including democratic governance, trusted local data, and answers to "who owns deployment infrastructure?"
THINGS WE SPOKE ABOUT
* “Bigger is better" AI myth protects hyperscaler monopolies, not users
* Agentic AI demands sweeping permissions creating existential privacy backdoor threats
* AI companions weaponize known psychological manipulation tactics against vulnerable minors
* "Open source AI" exploits software community goodwill without delivering benefits
* Sovereign AI requires democratic governance beyond geopolitical anxiety signaling today
GUEST DETAILS
Meredith Whittaker is President of the Signal Foundation and co-founder of the AI Now Institute—one of the most trusted voices in AI ethics, transparency and accountability. Her decade of work has profoundly shaped ethical AI frameworks, bringing impact from academia to industry.
At Google, Meredith was core organizer for the 2018 Google Walkouts where over 20,000 employees protested military AI use (Project Maven), surveillance, and sexual misconduct—forcing Google to discontinue their military contract and oust implicated VPs.
As AI Now Institute co-founder, her research cuts through AI hype, grounding discussions on what truly matters: power concentration, labour exploitation in AI pipelines, and protecting fundamental rights including privacy and rule of law.
Her work exposes corporate capture, debunks "bigger is better" myths, reveals sustainability costs, and provides foundational open source research.
Meredith has provided congressional testimony to US Congress and leads Signal—one of the most trusted privacy-friendly messaging apps. Her background building large-scale network measurement systems at Google gives her unique expertise in data quality, evaluation criteria manipulation, and how benchmark gaming serves hyperscaler interests over real-world effectiveness.
Dr Abeba Birhane is founder and director of the AI Accountability Lab at Trinity College Dublin. Her groundbreaking research examines AI datasets, uncovering how larger datasets contain higher hateful content and pornography—debunking "bigger dissipates problems" assumptions.
Her work on benchmarks and measurement demonstrates that purpose-built smaller models often outperform larger models in real-world contexts with appropriate contextual data.
Connect with the guests:
* Signal Foundation: signal.org
* AI Now Institute: ainowinstitute.org
* AI Accountability Lab: Contact through ADAPT Centre
* Follow their research and writing on AI accountability
MORE INFORMATION
You can learn more about the Sea-Scan project and other cutting-edge research at Trinity College Dublin's ADAPT Centre here: www.adaptcentre.ie/
Adapt Radio is produced by DustPod.io for the ADAPT Centre
For more information about ADAPT's groundbreaking AI and data analytics research visit www.adaptcentre.ie/
KEYWORDS
#TrustedAI #AIaccountability #AIprivacy #AIgovernance #MeredithWhittaker
Many of our daily interactions are reliant on the processing of personal data from emails, to social media, our phones and SMART devices. What happens to that data after we die?
Although many of us don’t like to think about it, we will leave behind a huge digital footprint with data that could be useful to future generations. Today we hear how AI can help shape our digital legacy and how digital literacy can improve management, preservation and access to the data that outlives us.
Our guest is an expert in human data interactions and PhD candidate at University College Dublin, School of Information and Communication Studies, Danny Snow.
THINGS WE SPOKE ABOUT
● The digital legacy we leave after death
● Complications of ownership and access
● Uses of posthumous data including medical research
● How AI can shape digital legacies and mass data collection
● Data donor cards and design in digital footprints
GUEST DETAILS
Danny Snow is a PhD candidate at University College Dublin, School of Information and Communication Studies, and Danny is looking at human data interactions and AI and that includes exploring the concept of digital literacy and examining how digital content is managed, preserved and accessed after a person dies.
https://ie.linkedin.com/in/danny-snow-1583931a3
MORE INFORMATION
You can learn more about your digital data legacy at https://datadonorcard.org/
Adapt Radio is produced by DustPod.io for the Adapt Centre
For more information about ADAPT visit www.adaptcentre.ie/
QUOTES
In more recent history, the volume of data is related to a specific period of time, whereas as we move forward, it's likely to relate to the entirety of someone's life. - Danny Snow
Personal data, even when alive, doesn't relate just to you. It relates to your family, anyone you're interacting with, anyone you're in the same location as, and it's the aggregation of that data that is important. - Danny Snow
The legal protections around posthumous data aren't the same. - Danny Snow
AI has the potential for recognizing these patterns, that in such a large volume that may not otherwise be recognizable. - Danny Snow
One of the big issues is that we don't necessarily understand what our digital footprint encompasses. - Danny Snow
KEYWORDS
#Digital #legacy #AI #data #ethical #digitalfootprint #privacy
ADAPT Radio
When your AI agent books a rental car, it needs your driver's license, credit card, calendar access and permission to message your contacts—creating what Meredith Whittaker calls "fundamental backdoor" threatening apps like Signal.
At ADAPT ADVANCE 2025, Signal Foundation President and AI Now Institute co-founder Meredith Whittaker joined Dr Abeba Birhane for a fireside chat dissecting why "bigger is better" serves hyperscaler monopolies not evidence.
How AI companions weaponise 1970s Eliza manipulation psychology on minors, why "open source AI" became marketing arbitrage exploiting software community goodwill, and what sovereign AI actually requires beyond anxiety signifiers—including democratic governance, trusted local data, and answers to "who owns deployment infrastructure?"
THINGS WE SPOKE ABOUT
* “Bigger is better" AI myth protects hyperscaler monopolies, not users
* Agentic AI demands sweeping permissions creating existential privacy backdoor threats
* AI companions weaponize known psychological manipulation tactics against vulnerable minors
* "Open source AI" exploits software community goodwill without delivering benefits
* Sovereign AI requires democratic governance beyond geopolitical anxiety signaling today
GUEST DETAILS
Meredith Whittaker is President of the Signal Foundation and co-founder of the AI Now Institute—one of the most trusted voices in AI ethics, transparency and accountability. Her decade of work has profoundly shaped ethical AI frameworks, bringing impact from academia to industry.
At Google, Meredith was core organizer for the 2018 Google Walkouts where over 20,000 employees protested military AI use (Project Maven), surveillance, and sexual misconduct—forcing Google to discontinue their military contract and oust implicated VPs.
As AI Now Institute co-founder, her research cuts through AI hype, grounding discussions on what truly matters: power concentration, labour exploitation in AI pipelines, and protecting fundamental rights including privacy and rule of law.
Her work exposes corporate capture, debunks "bigger is better" myths, reveals sustainability costs, and provides foundational open source research.
Meredith has provided congressional testimony to US Congress and leads Signal—one of the most trusted privacy-friendly messaging apps. Her background building large-scale network measurement systems at Google gives her unique expertise in data quality, evaluation criteria manipulation, and how benchmark gaming serves hyperscaler interests over real-world effectiveness.
Dr Abeba Birhane is founder and director of the AI Accountability Lab at Trinity College Dublin. Her groundbreaking research examines AI datasets, uncovering how larger datasets contain higher hateful content and pornography—debunking "bigger dissipates problems" assumptions.
Her work on benchmarks and measurement demonstrates that purpose-built smaller models often outperform larger models in real-world contexts with appropriate contextual data.
Connect with the guests:
* Signal Foundation: signal.org
* AI Now Institute: ainowinstitute.org
* AI Accountability Lab: Contact through ADAPT Centre
* Follow their research and writing on AI accountability
MORE INFORMATION
You can learn more about the Sea-Scan project and other cutting-edge research at Trinity College Dublin's ADAPT Centre here: www.adaptcentre.ie/
Adapt Radio is produced by DustPod.io for the ADAPT Centre
For more information about ADAPT's groundbreaking AI and data analytics research visit www.adaptcentre.ie/
KEYWORDS
#TrustedAI #AIaccountability #AIprivacy #AIgovernance #MeredithWhittaker
