Learning that values context and complexity

When algorithms compose symphonies and chatbots offer therapy, our approach to education must evolve.

Futures Literacy and ethical AI engagement aren’t optional; they’re fundamental.

Today’s learning ecosystem demands interdisciplinary thinkers who can decode algorithm-driven narratives while remaining deeply attuned to their own perspectives, biases, and values.

Complex challenges can only be met by highly collaborative teams. This is why Tricia puts emphasis on interdependence and fostering connections that amplify collective intelligence and innovative solutions.

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FAQs Tricia receives about her unique approach to AI Literacy.

Why take a Futures Literacy approach to AI with Tricia this year?

A Futures Literacy approach helps schools use AI to explore multiple possible futures, not predict one outcome. It expands agency and choice so decisions about AI stay thoughtful rather than reactive.

How is Futures Literacy different from AI strategy or tech planning?

Futures Literacy focuses on how we imagine and reason about change. Instead of starting with tools, it surfaces assumptions, considers alternatives, and supports decisions that remain flexible as AI evolves.

Why is Futures Literacy important for schools using AI?

AI increases uncertainty, not just efficiency. Futures Literacy strengthens judgment under uncertainty and helps schools avoid rushed decisions driven by hype or fear.

Who benefits most from a Futures Literacy approach to AI?

Leaders and teaching teams benefit most because they shape culture, assessment, and learning design. Students benefit through learning environments that value sense-making and responsibility.

How does this approach change conversations about AI ethics?

Ethics becomes an ongoing practice, not a one-time checklist. Futures Literacy helps communities examine values, power, and impact over time—and anticipate unintended consequences.

Does a Futures Literacy approach avoid AI tools altogether?

No. Tools are used as learning probes, not prescriptions. AI systems become prompts for inquiry and reflection rather than solutions to adopt by default.

How does Futures Literacy influence assessment in the age of AI?

Assessment shifts toward reasoning, process, interpretation, and application. The focus moves from “Was AI used?” to “What did the learner decide, justify, and create?”

Is Futures Literacy mainly about preparing students for future jobs?

No. It supports civic, ethical, and personal decision-making in uncertain worlds. Workforce readiness can be a benefit, but it is not the core purpose.

How does this approach support international and diverse school contexts?

Futures Literacy is context-responsive. Schools can explore AI in ways that reflect local values, language, and policy realities while engaging shared global challenges.

How do schools begin applying Futures Literacy to AI work?

Start with a facilitated conversation to surface assumptions, hopes, and concerns about AI. Then design professional learning and guidance that supports ongoing reflection and adaptation.

Would you like to explore her approach?