Should All AI Be Open-Sourced And What Would Actually Change?
Open-sourcing of artificial intelligence is again in the public eye. Elon Musk recently stirred another debate around the tactic when he vouched for open-sourcing Twitter’s algorithms to boost transparency and promote free speech. But the chatter around the topic has been an integral element of AI development for a while now. Before one gets into the nitty-gritty, it is crucial first to understand the term’s meaning and its key implications. In the domain of software development, open-source software has its source code publicly accessible, allowing any interested party to see, modify and distribute it. In a nutshell, it is a decentralized and collaborative route to software development.
Linux, WordPress, Mozilla Firefox and VLC media player are some of the well-known examples of open source software leaving a lasting impact. Open source has some crucial benefits, such as an accelerated rate of software development and deployment, as there is no barrier for stakeholders or even enthusiasts. Another fundamental aspect is the review and community acceptance, which allows experts to critique and help improve a project without any corporate barriers. Needless to say, open-source communities speed up the pace of innovation. But the biggest advantage, especially when it comes to a divisive topic like Artificial Intelligence, is transparency.
Related: How Close Is AI To Developing Feelings?
On the surface, keeping AI development close to the corporate chest and putting it behind barriers of intellectual property laws stifles innovation. When an AI project is under development among a close circle of employees, irrespective of how promising or advanced it is, it will take a lot more time because it lacks an external feedback
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