As part of an event series, the objective of the panel discussions is to better understand the similarities and differences between AI and what we could call “classic” software, particularly open source software.
Transcript from October 18th Deep Dive: AI Legal panel
All right, Well, thanks everyone, and welcome to Deep
Transcript from October 13th Deep Dive: AI Society panel
And welcome everyone. Welcome to Deep Dive: AI. This
Transcript from October 11th Deep Dive: AI Business panel
Then welcome everyone officially. Okay. Here we are. Thanks
In recent months, principles that underpin Open Source programming and other efforts to build information commons are being applied to AI research and development. It’s a turning point.
Mike Linksvayer, head of developer policy at GitHub in a conversation with Open Source Initiative’s executive director Stefano Maffulli talking about AI.
GitHub is sponsoring Open Source Initiative’s Deep Dive: AI because we think it’s important for the community to unpack how open source software, process, and principles can help best deliver on the promise of AI.
In this episode, Stefano Maffulli, executive director of the Open Source Initiative, and Mo Zhou, AI research expert and Debian developer, examine the key components of artificial intelligence systems and how those components by their very nature complicate the idea of AI software that is truly open source.
In this episode, Stefano Maffulli, executive director of the Open Source Initiative, and David Gray Widder, a Ph.D. student at Carnegie Mellon University, discuss David’s research and findings on ethics in artificial intelligence and, in particular, the challenges software engineers face related to trust and ethics in AI.
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