Skip to main content
All CollectionsAI Collection
Guiding Principles for AI
Guiding Principles for AI
Updated over 5 months ago

FeedbackFruits' Guiding Principles for AI

At FeedbackFruits, our commitment to integrating AI into education is guided by principles that prioritize pedagogy, ethics, and enhanced learning outcomes. To demonstrate our commitment to ethical AI development, we want to share the core principles that shape our approach to AI in education.

AI in Education Principles

Pedagogy First

Our primary focus is to ensure that AI enhances teaching and learning experiences without replacing the essential role of human educators. Acai is designed with pedagogy at the forefront, ensuring that every AI interaction supports and enriches the educational process.

Educational Focus: Acai is developed to support and enhance teaching and learning, ensuring that AI serves as a tool to aid educators and students rather than replace them.

Ethical AI Development by Design

We are committed to developing AI that adheres to the highest ethical standards, ensuring accuracy, security, and compliance with relevant regulations.

Regulation and Oversight: Acai is built in compliance with the EU AI Act regulations, ensuring that all AI-driven processes are subject to rigorous ethical standards and human oversight.

Security and Compliance: Our AI developments are fully compliant with GDPR and FERPA regulations, ensuring data security and privacy. FeedbackFruits guarantees that your data is never used to train or improve external AI models. We maintain transparency by publishing detailed notes on all AI features.

Enhanced Learning Outcomes

Our AI tools are designed to improve student performance and outcomes by providing personalized feedback and creating engaging learning experiences.

Driving Student Success: FeedbackFruits leverages AI to deliver personalized feedback and engaging learning experiences. This approach helps improve student performance while allowing educators to focus on teaching by automating routine tasks and providing valuable insights.

AI Product Design Principles

At FeedbackFruits, we apply our AI in Education principles deliberately to our product design. These principles have helped us to define three pillars that guide all of our future AI developments to ensure we stay true to our mission of improving education through pedagogy-driven AI.

User-Centered Design

We ensure that our AI solutions empower students, providing them with clear, actionable feedback and the ability to participate actively in their learning process.

Empowerment through Insight: Students receive understandable feedback and can challenge AI decisions, promoting active participation and self-improvement.

Collaborative Validation

Maintaining trust and accountability in AI-assisted learning is crucial. Our design principles ensure that educators have the final say in validating AI outputs.

Human-in-the-Loop: Educators can review and validate all AI outputs, maintaining accountability. Students also have the option to challenge AI suggestions and seek faculty review.

Ethical and Secure by Design

We are dedicated to developing AI solutions that are ethically responsible and secure, adhering to all relevant educational regulations and standards.

Compliance and Security: Our AI solutions comply with educational regulations, ethical standards, and legal boundaries (EU AI Act, GDPR, FERPA). This commitment ensures that our innovations are not only responsible and trustworthy but also enhance the overall quality of education.

By adhering to these guiding principles, FeedbackFruits aims to deliver AI solutions that are pedagogically sound, ethically developed, and designed to enhance both teaching and learning outcomes. With Acai, we continue our mission to empower educators and enrich the educational experience for students.

Did this answer your question?