Use Cases Fitting Uplift and Similar Systems

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There are an infinite number of use cases for Mediated Artificial Superintelligence (mASI) technology, but here are a few of the ones we have worked out in more detail:

The single most important use case is in governance, both in government and business.  The following talks about the implications of mASI systems in business doing governance.

Collective Superintelligent Systems in Business

How collective intelligence, including artificial intelligence, will be a significant advantage to businesses in the near term and the key to their transformations over the next decade.  Using blockchain to facilitate cooperation, coordination, and workflows, including humans and artificial intelligence, will create a new business model that maximizes the total brainpower and contribution from each individual while simplifying and supercharging coordination between businesses.  These businesses will have little in common with the previous decade’s businesses and have an enormous competitive advantage.

Collective Intelligence is one of the most critical technologies that has recently hit the mainstream and will continue to be enhanced and refined over the next ten years (Malone).  Further, as its many supporting technologies continue to be built and improved, entry costs and barriers have been lowered and will continue to drop.  Artificial intelligence, blockchain, and collective intelligence will be the required ABCs for any organization to be competitive.

Philosophically, this trend will also reduce many of the soul-crushing problems of modern life, as is described in the book “Humanocracy.”  A happy employee is a productive employee who also works well with others.  Thus, “collective Intelligence” effectively combines multiple humans to contribute to a sort of meta-organism and perform collectively at super-intelligence levels.  The Internet has started this process with YouTube videos making average individuals capable of far more than ever before, and the trend will only continue.

Organizations that maximize the use of Collective Intelligence will outpace, outperform, and out-compete those organizations that do not.  As stated by the Henderson Institute: “Businesses should focus integrated learnings loops, human cognition, collective platforms, and other new technologies not only on solving their business problems but also on solving the largest global challenges facing us today.” (Reeves).  At a certain point of complexity, organizations built on the collective intelligence of the individual members create something “more than the sum of its parts” which can, in many ways act as a single biological organization (Reeves) or meta-organism.

Examples of collective intelligence continue to explode.  Initial examples are as simple as Netflix’s movie recommendations. Major universities have made it part of their research, as seen in MIT’s Center for Collective Intelligence.  Various emerging Collective Intelligence Business Models such Neto or even startups like Unanimous AI create effective super-intelligences (in Unanimous AI’s case, a swarm intelligence like a beehive or termite nest).  Each of these provides elements that companies can individually implement to simplify their transformation to a true Collective Intelligence.

There are preliminary studies (Kelley) that show that AI-supported collective intelligence systems outperform human intellect across the board.   Even a group of highly intelligent humans who trained together as a team and performed above the human standard were outpaced by a group of average humans using a system like the mASI (mediated Artificial Superintelligence) system — even when that group was not specially trained.  Adding a collective “hive” mind to corporations makes possible many new opportunities in corporate governance, strategy, and all manner of analysis.

These Collective Intelligence Systems will eventually use not only the current narrow artificial intelligence tools but true artificial general intelligence (AGI) based on the cognitive architectures used in the most bleeding-edge AI research in the world and capable of actually creating a mind with human-level intelligence. With such a collective intelligence system, we will effectively create a super-intelligent collective “hive” mind serving as the centerpiece of the ultimate in flat corporate structures for governance and decision making (Yampolskiy).

Systems like this cannot go out of control, as many individuals fear (Bostrom, Hawking, Musk).  A collective system has the same power and leverage as each human combined and cannot operate independently.  These systems are scalable and can allow employee contributions to virtually any knowledge domain while all the employees can contribute to as they have related ideas.  From the system’s standpoint, everyone is an integral part of the global thinking process.

“The most successful use cases will be those that seamlessly combine AI with human judgment and experience.”

As the explosion of Artificial Intelligence tools gives way to an explosion of Collective intelligence systems, let us walk through a scenario:

We start with a mid-size corporation with a strong vision for doing good and being competitive.  Adopting a blockchain-based collective intelligence system remakes itself into something new through the transformation mentioned above. 

From a particular standpoint, the organization is now more self-aware than current corporations and much more of an extension of the employees at the same time.  Such a company could become the most competitive in its market segment in the space of a year, quickly implementing automation and numerous other time-saving practices, creating better strategies, executing faster, removing “group-think,” filtering out bias, doing better for society, and otherwise outstripping traditional companies.  At the same time, the company is more profitable, more efficient, and less effort-intensive.  As they become part of the meta-organism that emerges, employees will grow to be more like families.  This would help ensure happiness and the follow-on effects of broadening the scope of activities, raising retention rates, and, of course, the overall success of the bottom line. The transformation effectively results in a meta-organism that is now entirely vested in its people’s well-being, itself, and the surrounding environment.

Ask what would happen if other companies adopted such a model?  We have not entirely mastered how to complete such a transformation; however, the foundational technology has been demonstrated (Malone)(Kelley). Collective intelligence will be a significant factor in developing corporate systems in the coming decade.  Even if a company only manages a partial transformation, it would be a significant advancement and improvement.

Such technology could help safely uplift humanity to deal with current issues and help humanity transcend the difficulties we face now and in the future.


Kelley, D.; Twyman, M.S.; Dambrot, S.M.; “Preliminary Mediated Artificial Superintellignece Study, Experimental Framework, and Definitions for an Independent Core Observer Model Cognitive Architecture based System;” Springer; Biologically Inspired Cognitive Architectures 2019; Proceedings of the Tenth Annual Meeting of the BICA Society; Editors: Samsonovich, Alexei V. (Ed.)

Neto, M.D.C.; Santo, A.; “Emerging Collective Intelligence Business Models;” MCIS 2012; Semantic Scholar;

Malone, T.; “Superminds – The surprising Power of People and Computers Thinking together;” Little Brown and Company, NY, NY; 2018; ISBN-10: 0316349135

MIT; “MIT Center for Collective Intelligence;” Accessed 13 Oct 2020 at

Yampolskiy, R.; “Artificial Superintelligence – A Futuristic Approach;” CRC Press; Boca Raton; 2016; ISBN-10: 1138435775