Human Actors in the Collective

Just as humans need algorithms to avoid fundamental errors and decision making, the current issues of Big data need human judgement to keep errors in check. What these clearly shows is that a case for Human and AI collaboration is now much stronger than ever. Certainly reasoning about fairness, societal acceptability, and morality should not be handled by AI alone. Every algorithm however fair and robust they are - Needs human oversight at the current stage of development. To summarise, humans plus AI supplemented by a better process for working with algorithms is win-win solution producing results either the most talented humans or the most advanced algorithms in isolation cannot produce.

Since the use of Crowdsourcing i.e. Using humans in the loop is very effective - Magnus will contain frameworks for

• Analyzing images and video
• Classification
• Learning
• Error recovery

The Collective can also provide access to

a) Datasets, publications, models, benchmarks, and simulation tools b) Open competitions for designs and systems c) Open-source software

Rather than a mythical monolithic AI that will emerge superior to humans, the term “Multiplicity “ characterizes a new paradigm systems where diverse groups of humans work together with diverse groups of machines to address difficult problems in search, transportation, healthcare, design, and discovery.

Multiplicity combines the wisdom of crowds with the power of cloud Robotics, AI and IOT hubs. - And this is what the Magnus collective strives to achieve with human actors in the collective.