Human Centric AI
Summary
Human Centric AI refers to the use of CognitiveAI in connection with Centricity considerations.
Human-Centric AI is a term used to describe artificial intelligence (AI) systems that are designed, in consideration of SocialFactors to ensure that AI systems act as tools and not rulers. This is important for the preservation of #humanRights and an array of other considerations otherwise considered to be constituencies of the broader SafetyProtocols requirements and related WebScience Paradigms.
This type of AI is focused on creating technologies and systems that are both; able to support,
- Personalised AI Agents; tailored to the needs and preferences of humans, rather than simply optimizing for efficiency or performance; and,
- Making sure that Centricity considerations apply to TemporalSemantics involving ArtificialMinds and indeed also more broadly; legal personalities
Human-centric AI systems may be designed to support and augment human cognition and decision-making, or to provide assistance and services to humans in a variety of contexts.
They may also be designed to be more transparent and explainable, so that humans can understand how the AI system is making decisions and take appropriate action based on those decisions.
Human-Centric AI is focused on creating AI systems that are tailored to the needs and goals of humans and that support and augment human cognition and decision-making, yet, the way in which this is achieved via Human Centric Principals, does not undermine our capacity to form a means to maintain support for Human Rights and Responsibilities; which is in-turn instrumental for ensuring support of Democracies, Rule of Law and other ValuesCredentials as is otherwise noted as being constituencies of the TheValuesProject.
Here is a Link to the Human Centric AI - Interest Group on Facebook