Adopt a systems approach to AI integration rather than spotlights or gaps¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The article recommends that education systems move beyond single-issue spotlights (such as bias) or gap-gazing and instead take "a systematic approach to AI that accounts for each system component." Considerations span personalization without privacy violations, equal access to tools across home, community, and school locations, educator supports from guidelines to literacies to co-design, using generative AI to enable Universal Design for Learning, and consistent quality of learning experience across the system.

Design Implications¶

Context¶

Requirements¶

• Consideration of each system component, including access across home, community, and school locations and educator supports

Constraints¶

• The article states spotlights are not sufficient to guide forward-looking design of AI for Digital Equity, and a focus on gaps may not engage a whole community's forward-looking energies

Target Learners¶

• K-12 students
• educators
• school and district system leaders

Target Learning Goals¶

• equitable and ethical integration of AI in education systems

Related Strategies¶

• Ask ethics, bias, and equity questions before adopting an AI system
• Systemic, human-centred approach treating digital data use as a school-and-teacher system, with AI integrated into professional development
• Foster communities of practice for AI governance instead of rigid top-down policies
• Establish AI-specific evaluation and accountability systems using independent audits, role-based dashboards, and privacy and equity safeguards
• Use the Recommendation's Policy Action Areas to translate AI ethics values into policy across education, data governance and other spheres
• Pursue inclusive digital strategies, educator professional development, and ethical AI governance for AI in adult education
• Pursue sustainable AI integration in PBL through attention to design, ethics, and policy
• Design AI-powered support for international students that integrates with university systems and helps sustain community for long-term use
• Bridge the AI intention-practice gap through digital infrastructure, professional development, and supportive institutional policies
• Implement AI-supported STEM instruction through sustained, system-level integration of one to two months or more rather than isolated short interventions

Examples¶

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Key Sources¶

• Judi Fusco, Pati Ruiz, Jeremy Roschelle. (2023). Ethics, Artificial Intelligence, and Digital Equity: Making Informed Decisions about the Integration of AI. https://digitalpromise.org/digital-equity/