A collective system has multiple parts that work together. A working collective system is greater than the sum of its parts. In a collective intelligence system, each part is also intelligent. A collective intelligence system, therefore, amplifies the intelligence of its parts to produce a greater intelligence: superintelligence.
In 2018 the concept of Mediated Artificial Superintelligence (mASI)  was first proposed. The mASI is a type of collective system. A mediator, in this case, refers to someone who is one of these parts, as is an Artificial Intelligence (AI) system. The mASI lets all of the parts think together more effectively.
Uplift is an example of an mASI system.
Many AI experts and enthusiasts have begun talking about the concept of Augmenting human intelligence  in recent years. It allows for higher productivity and quality of life while also removing the risks posed to employment by automation. Hybrid systems such as mASI technology serve this function exceedingly well for several reasons.
The collective intelligence of a group is fundamentally cumulative when paired with an mASI. The thinking of the mASI is stored in a graph database, which is capable of growing dynamically . In this way, the mASI also remembers what it has done before. Each part of the system has its unique strengths, weaknesses, and experiences—as well as a unique collection of cognitive biases.
As a collective intelligence, these biases are one entity we can eliminate. .
There are many ways we can improve this system over time. Improvements may include moving the mASI closer to being independent and having improving speed. Moreover, it is essential to manage scale—and the system does this well.
The mASI is designed like Legos in that new parts can be added quickly to augment the system with new features. Such changes allow us to use other systems to feed the collective— and it also makes the mASI more powerful.
Besides the technological advantages, such systems also facilitate strong psychological benefits. Some examples are those catering to psychology’s “pillars of meaning” .
Sense of Belonging: Members of a collective more easily work together and build common ground. This strengthens teams by building trust and belonging.
Purpose: A collective develops its shared vision. This builds on that common ground, trust, belonging, establishing, and growing its purpose.
Storytelling: A shared narrative forms as a collective communicates both internally and externally. Senses of belonging and purpose reinforce this, driving the story of individual members as they orbit within that narrative.
Transcendence: These factors combine to achieve psychological benefits not possible without a collective. A sense of transcendence may be realized by the “sense of being a small part of something greater”.
How mASI Technology Works Today
An mASI communicates with members of a team, creating thoughts based on that communication and from their own research. Topics can also be raised directly through the Thought Studio, with these thoughts termed knowledge graphs. They are then mediated by members of the team. This is much like how any conventional team meeting could influence the decisions of a team leader.
This process helps remove the negative effects of groups like “group think” or politics. The collective can make decisions based on how it feels about the decision.
As with any new technology, there are some current limitations to be aware of. We also have engineering efforts in progress to overcome them.
Current graph databases do not support the scale needed to grow a system indefinitely. We have designed a new one that can do this, but it is not complete yet.
The current mASI system needs many architectural upgrades to be brighter than it is now.
Translating from a knowledge graph to something human-readable still needs improvements.
We would like to integrate an mASI into many other systems. Over time we will build more modules
Read the rest here: https://uplift.bio/UpliftWhitePaper.pdf