Click to download audio version A significant part of the modern digital
economy, is underpinned by machine learning models that are trained to
perform tasks such as facial recognition, content curation, health diagnostics
etc. Data to train machine learning models is the essential commodity of this
century - a sentiment captured by epithets such as ""Data is the new oil"".
Today's dominant AI paradigm has companies focus their efforts on gathering data
from their users in order to train models and monetise usage of the model. This
model has many consequences such as loss of privacy for the user, consolidation
of data in a handful of large companies, low access to data for startups and a
fundamental impossibility of collecting sensitive data such as markers for
depression. Our guest, Andrew Trask, is building OpenMined - a platform
that merges cryptographic techniques such as homomorphic encryption and multi-
party computation and blockchain technology to create the ability to train ML
models with private user data. OpenMined will allow AI companies of the
future to develop models, have them trained on user data without compromising
user privacy, and incentivise users to train their model. We walk through the
OpenMined vision and its potential impact on AI business models and AI safety
Topics discussed in this episode: Links mentioned in this episode: Support the
show, consider donating: This episode is also available on : Watch or listen,
Epicenter is available wherever you get your podcasts. Epicenter is hosted by
Brian Fabian Crain, Sébastien Couture & Meher Roy.
economy, is underpinned by machine learning models that are trained to
perform tasks such as facial recognition, content curation, health diagnostics
etc. Data to train machine learning models is the essential commodity of this
century - a sentiment captured by epithets such as ""Data is the new oil"".
Today's dominant AI paradigm has companies focus their efforts on gathering data
from their users in order to train models and monetise usage of the model. This
model has many consequences such as loss of privacy for the user, consolidation
of data in a handful of large companies, low access to data for startups and a
fundamental impossibility of collecting sensitive data such as markers for
depression. Our guest, Andrew Trask, is building OpenMined - a platform
that merges cryptographic techniques such as homomorphic encryption and multi-
party computation and blockchain technology to create the ability to train ML
models with private user data. OpenMined will allow AI companies of the
future to develop models, have them trained on user data without compromising
user privacy, and incentivise users to train their model. We walk through the
OpenMined vision and its potential impact on AI business models and AI safety
Topics discussed in this episode: Links mentioned in this episode: Support the
show, consider donating: This episode is also available on : Watch or listen,
Epicenter is available wherever you get your podcasts. Epicenter is hosted by
Brian Fabian Crain, Sébastien Couture & Meher Roy.