An AI-enabled world demands a data-literate citizenry able to read, use, interpret, and communicate about data and participate in AI-related policy debates¶
Claim · All claims
Evidence · 1 study · theoreticalr?·q1
Currency · newest study 2016 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2021: baselines and conditions change
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q1 i? The report asserts that living in an AI-enabled world requires broad data literacy, including the ability to participate in policy debates about matters affected by AI. → National Science and Technology Council 2016
Evidence¶
National Science and Technology Council 2016¶
National Science and Technology Council, Committee on Technology. (2016). Preparing for the Future of Artificial Intelligence. Executive Office of the President. https://www.whitehouse.gov/ostp
q1 · i? · theoretical · r?
This is the report's own assertion in its Research and Workforce discussion, offered without supporting data or argument. The report states that "An AI-enabled world demands a data-literate citizenry" spanning reading, using, interpreting, and communicating about data.
"An AI-enabled world demands a data-literate citizenry that is able to read, use, interpret, and communicate about data, and participate in policy debates about matters affected by AI."
Discussion¶
Related Claims¶
- Faculty members and students identify both user-related and algorithm-related ethical risks in AI use in education — related
- Positioning personal experience as an epistemic resource supports expansion from inward to outward critical orientations — related
- Critical speculative design pedagogy supports critical consciousness and justice-oriented sensemaking in science — related
- The review identifies data privacy, algorithmic fairness, academic integrity, and unequal access as interconnected ethical concerns in AI-supported mathematics education — related
- The skills required in a world powered by ChatGPT and related technologies will be different from those demanded previously — a narrower finding that bears on this claim
- Academic integrity, professional development, and equity concerns about AI span all surveyed units, though interpreted differently — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-enabled-world-demands-data-literate-citizenry |
title |
An AI-enabled world demands a data-literate citizenry able to read, use, interpret, and communicate about data and participate in AI-related policy debates |
description |
An AI-enabled world demands a data-literate citizenry able to read, use, interpret, and communicate about data and participate in AI-related policy debates |
status |
review |
evidence_strength |
weak |
newest_evidence |
2016 |
recheck_by |
2021 |
generated |
by process:wiki-ingest on 2026-10-15 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — national-science-and-technology-council-2016 |
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