Humancentric Artificial Intelligence (Humancentric AI) refers to the design, development, and implementation of AI systems that prioritize human needs, values, and well-being. The goal is to ensure that AI technologies enhance human capabilities, respect human rights, and operate in a way that is aligned with societal values.

@ Dear Christina Tsomokou , AI systems that are created with a primary focus on human values, needs, and well-being are known as human-centric AI. This approach to AI development, according to a number of papers, places a strong emphasis on developing technologies that are open, moral, and consistent with human interests. Human-centric AI is guided by the "Ethics Guidelines for Trustworthy AI" published by the European Commission. These guidelines include respecting human autonomy, preventing harm, being fair, and being explicable. According to these principles, AI should neither undermine or replace human capabilities, but rather should grow them while upholding human freedom and dignity.OR The creation and use of artificial intelligence (AI) systems that give human values, wants, and experiences precedence is known as "human-centric AI." This strategy makes sure AI technologies are developed and applied in ways that improve human welfare, uphold individual rights, and advance social justice. Human-centric AI places an emphasis on ethical issues, transparency, and the meaningful involvement of users in the design process, in contrast to traditional AI, which frequently focuses only on efficiency and performance. It is based on values like accountability, justice, and minimizing harm and seeks to develop systems that are both technically and socially responsible. Human-centric AI has the potential to revolutionize education by boosting student engagement, customizing learning experiences, and offering focused support. Students can advance at their own speed by customizing educational content using AI-driven tools that adapt to their unique learning methods. AI can also help teachers by automating administrative duties, which frees up time for more engaging instruction. The human-centric approach, on the other hand, guarantees that these technologies are utilized morally, upholding educators' crucial role and protecting students' autonomy and privacy. AI, for example, can be used to detect kids who are at risk of falling behind, allowing for prompt interventions that uphold their agency and dignity. This approach to AI in education can promote a more inclusive, equitable, and productive learning environment by emphasizing the human side of the technology.

Human-centric artificial intelligence (HCAI) is an approach to AI that prioritizes human values, needs, and ethical considerations throughout the design and implementation process. This perspective emphasizes AI systems as tools to enhance human capabilities rather than replace them, ensuring that these technologies are designed with human welfare and societal well-being at their core.

In terms of education, HCAI can be integrated in various ways to support learning and teaching processes. One key application is through personalized learning systems that adapt to individual student needs, offering tailored content and feedback based on the learner's progress. HCAI also plays a role in ensuring that AI-driven educational technologies are transparent, explainable, and aligned with educational ethics, thus fostering trust among students and educators.

Furthermore, frameworks like value-sensitive design (VSD) and ethically aligned design are crucial in shaping educational AI tools that respect human rights and dignity. These frameworks help integrate moral values into AI technologies, ensuring they are used to support inclusive and fair educational practices.

In summary, HCAI in education focuses on improving learning outcomes through personalized and adaptive systems and embedding ethical principles that safeguard human values in the educational process​ (MDPI)​ (TIM Review).

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The process of designing intelligent systems that are easy to use and allow for natural interaction between humans and systems by using technologies such as voice recognition and natural language processing to facilitate interaction.

Nisha Bhadauriya Agarwal and Christina et al - Good question & very nice answers. Sadly, as yet I see no existing examples of systems capable of doing what you describe. I see no articles on R&D teams that achieved success and no papers on how to do it. I now have about 300 pages of transcripts of my Q&A with Anthropic AI's "Claude" models, over 111 pages of transcripts of my work with Meta-AI's Llama-3.1-405B system, and daily watch for news of a truly ethical, reliably humancentric AI-app that has not been produced yet, even with the help of all the best existing AI-apps. Now, I realize this sad state-of-the-art-for-profit (etc.) could soon improve. In fact, that is a prime objective of my R&D. So, if you want to use a reliable, truly ethical, next-gen ASI+HI (adaptive systemic intelligence + human intelligence) agent/assistant, please feel free to message me, and/or refer sincerely ethical R&D and sys-dev experts. Effective collaboration will be appreciated & rewarded. Thanks & best of luck etc.

@all, Thank you all for your replies. They are absolutely useful to me! Keep going with your work and research.