25 Sep 2020 00:00:00 +0100

For the seventh episode of our Software Freedom Podcast we talk with Vincent Lequertier about transparency, fairness, and accessibility as crucial criteria for artificial intelligence (AI) and why it is important for our society to release AI software under a Free Software license. Join the FSFE community and support the podcast: https://my.fsfe.org/support?referrer=podcast

SFP#7 Artificial intelligence as Free Software with Vincent Lequertier

For the seventh episode of our Software Freedom Podcast we talk with Vincent Lequertier about transparency, fairness, and accessibility as crucial criteria for artificial intelligence (AI) and why it is important for our society to release AI software under a Free Software license.

Our guest for the seventh episode of the Software Freedom Podcast is Vincent Lequertier. Vincent is a member of the Free Software Foundation Europe and is researching AI in the health care sector. Together we discuss the use and development of artificial intelligence from a Free Software perspective. Vincent explains what AI actually is and why it is important for our society to release AI software under a Free Software license. We discuss why the criteria of transparency, fairness and accessibility are important when working with artificial intelligence and how they relate to Free Software. Finally, we also discover what challenges AI is facing in the future and whether we should be afraid of the increasing use of this technology in our daily lives.

Read more:

Vincent Lequertier interview

"Putting artificial intelligence back into people's hands", Vincent's talk at FOSDEM

"Upcoming Challenges in artificial intelligence Research and Development", an OW2online20 talk by Vincent

TensorFlow, an end-to-end open source machine learning library

Keras, an easy-to-use API built on top of TensorFlow

Pytorch, an open source machine learning framework

AI-Box Experiment (xkcd)

White paper: On artificial intelligence - A European approach to excellence and trust (European Commission)

Article about racial bias in healthcare algorithms

Scientific paper about racial bias in healthcare algorithms