SpatzAI – Democratic Early Warning System to Monitor Team & AI Misbehavior

Spatz.AI – Democratic Early Warning System to Monitor Team & AI Misbehavior

Here is our pitch deck and demo video that explains our how our simple app and platform resolves spats or micro-conflicts in teams.

Welcome to SpatzAI. We aim to create an early warning intervention system to manage, moderate, mitigate and monitor misbehavior while team members are collaborating or using AI participating platforms.

SpatzAI will offer a Software-as-a-Service (SaaS) application and platform allowing team members to self-manage, monitor and resolve minor problematic behavior (spats) between themselves and also with any participating AI platform they use, preventing an escalation to a conflict or even more harmful behavior.

By leveraging advanced artificial intelligence technology, and providing transparency and accountability as the primary intervention, we aim to sufficiently protect team members with concerns of misbehavior from fellow team members or the AI systems they are using. We believe that by fostering a culture of openness and accountability team members will feel free to voice their concerns and appropriately address what they consider problematic behavior.

“Psychological safety is an atmosphere where one can take chances……….without fear and with
sufficient protection.”
^{[Edgar Schein & Warren Bennis 1965 – Psychological Safety – Wikipedia]}

Our intervention toolkit and platform consists of the following:

We hope to accomplish our pilot by late 2023 and be commercially trading early 2024. Check out our app demo and charter links above, for further explanation.

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Pitch Deck

Here is our pitch deck

	SpatzAI Team Charter Manages team behavior by members and AI companies agreeing to use the intervention app and platform.
	SpatzAI 3-step Intervention App Moderates team and AI behavior by documenting and holding infringing members and AIs behavior to account.
	SpatzAI Peer-review Network Mitigates team and AI behavior with the knowledge their behavior can be posted on the network and reviewed by their peers and other AIs.
	SpatzAI & ML Data Monitors team and AI behavior by collating the real-world data, and training SpatzAI to compare their Spatz data with their over all team or AI performance.