Heather Meeker
See the following -
Legal Issues in Open Source Today from Annual Symposium
On January 23 this year, the Santa Clara High Tech Law Journal had their annual symposium on open source in the legal field at Santa Clara University. Prominent practitioners in the open source community spoke on topics ranging from licensing and compliance to healthcare and entertainment law. For anyone newly learning about open source licensing, this is a great look at some of the issues today... Read More »
- Login to post comments
To Trust Artificial Intelligence, It Must Be Open And Transparent. Period.
Machine learning has been around for a long time. But in late 2022, recent advancements in deep learning and large language models started to change the game and come into the public eye. And people started thinking, “We love Open Source software, so, let’s have Open Source AI, too.” But what is Open Source AI? And the answer is: we don’t know yet. Machine learning models are not software. Software is written by humans, like me. Machine learning models are trained; they learn on their own automatically, based on the input data provided by humans. When programmers want to fix a computer program, they know what they need: the source code. But if you want to fix a model, you need a lot more: software to train it, data to train it, a plan for training it, and so forth. It is much more complex. And reproducing it exactly ranges from difficult to nearly impossible.
- Login to post comments