Ryan Barness, product manager with the Facebook, announcement revealed that the new system would prioritize content based on numbers of different parameters such as severity, virality, and impact.   

Till now, the posts are thought to violate the company’s rules are flagged by human moderators in chronological order.   

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Now, the company intends to ensure that the most important posts are reviewed by human moderators. To achieve this, they will reportedly use a combination of machine learning algorithms to sort posts.   

Till now these potentially harmful posts are reported by users or detected automatically by Facebook’s AI-based on pre-defined parameters.   

The new system will improve the moderation of real-world harm with posts such as fake propaganda that can have serious implications. Passing these posts from the AI level to human moderators resolves the same system which will then tackle spam and other less inciting posts. 

Posts receiving the highest level of priority will include child exploitation, terrorism, self-harm, and other aspects. For this, Facebook is leveraging its AI expertise that it already has.  

Chris Palow, Facebook’s software engineer notes that “the system might still witness flaws. However, the eventual goal that Facebook has is to instill a level of human-like intelligence in computer recognition models, which has so far been missing from such AI models. This can help it make contextual decisions is super important post moderations – something that Facebook will look forward to cutting down on problematic content.”   

“The system is about marrying AI and human reviewers to make less total mistakes,” said Palow.  

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In August 2020, the work started as a part of a wider initiative that aims to establish better technology co-operations between the two countries.

In digital and AI at both organizations, senior leaders have the objective to develop, explore, and demonstrate how these applications work together in an interoperable way. They also want to explore how they can interchangeably use each other’s technology.

The U.S-U.K. development squadrons will be created under a shared long-term vision from support fleet operations centers, interoperability, and tactical-level units with joint service partners.
The collaboration plan was devised by Royal Navy Digital Services and the US Navy under that mandate to look at specific pieces of technology and the methods, the organizations use to research, design, and build software.

In a blog post, Layna Nelson, systems engineer, and U.S. Navy secondee said “effective foreign collaboration is considered important in improving a country’s capabilities. and those of allies while bringing different perspectives into digital teams. However, that can be challenging due to factors such as bureaucracy and different time zones. The pandemic adds to those hurdles with the impossibility of quality face-to-face interactions.”

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To tackle those obstacles, the Navies used a two-day virtual workshop to share best practices in collaboration and digital delivery on development and research.
In the event, there were two teams involved: one working for the Royal Navy’s application to support maritime sustainment planning, and the second was working on delivering an application for the US Navy, to enable digital maritime maneuver planning.

In the months to come, according to Nelson, international agreements and collaborative software development will take place.
He says “Throughout this path-finding process, we’ll be learning and evolving with the goal of developing better digital and intelligent capabilities and teams to make our Navies stronger.”

The post US and Royal Navy will Collaborate to Work Jointly on AI and ML appeared first on Tech Research Online.