A Participatory Strategy for AI Ethics in Education and Rehabilitation grounded in the Capability Approach
Project Overview
The document explores the role of generative AI in education, particularly its application in inclusive and clinical settings to improve learning experiences for students with Special Educational Needs and Disabilities (SEND). It underscores the importance of ethical considerations and a participatory design approach in the implementation of AI technologies. A key example is the ARTIS Project, which focuses on creating an AI-based interface designed to assist children struggling with text comprehension. This project illustrates the necessity of involving various stakeholders in the development process and employs the Capability Approach as a guiding framework for ensuring that AI initiatives are ethically sound and beneficial for learners. Overall, the findings highlight the transformative potential of AI in fostering inclusive educational environments while emphasizing the need for responsible and thoughtful integration of technology in teaching and learning.
Key Applications
ARTIS Project - AI-enriched interface for children with text comprehension difficulties.
Context: Inclusive education for children with Special Educational Needs and Disabilities.
Implementation: Participatory design involving educators, clinicians, and developers through focus groups and collaborative sessions.
Outcomes: Enhanced learning experiences and support for children with text comprehension difficulties; alignment of technology with educational goals.
Challenges: Need for balance between automation and human oversight; ensuring technology is developmentally appropriate and effectively addresses user needs.
Implementation Barriers
Ethical and Pedagogical
Existing ethical frameworks for AI often focus on risk mitigation without considering the unique needs of children and individuals with disabilities.
Proposed Solutions: Adopting a holistic perspective that incorporates the Capability Approach and emphasizes the importance of co-creation with stakeholders.
Technical Implementation
Challenges in aligning technical, clinical, and educational pillars during the development of AI interfaces.
Proposed Solutions: Engaging diverse stakeholders early in the design process to ensure the technology meets pedagogical and rehabilitative needs.
Project Team
Valeria Cesaroni
Researcher
Eleonora Pasqua
Researcher
Piercosma Bisconti
Researcher
Martina Galletti
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Valeria Cesaroni, Eleonora Pasqua, Piercosma Bisconti, Martina Galletti
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai