Transparency & Fact-Checking

We are committed to accuracy, transparency, and accountability in all content presented on AI for Me. This page outlines our fact-checking process and sources.

Our Commitment

Evidence-Based Content

All claims about AI capabilities, safety practices, and learning outcomes are grounded in peer-reviewed research and industry standards. We distinguish between verifiable facts, operational specifications, and aspirational programme goals.

Verified Sources

Content has been fact-checked against academic publications, industry guidelines (IEEE, Partnership on AI, UNESCO), and professional standards including Australian Public Service requirements.

Responsible AI Positioning

We make no exaggerated claims about AI capabilities. Safety-first positioning is evidence-based. Individual outcomes may vary based on engagement and application.

Key Sources & References

Behavioural Science

Fogg, B. J. (2019). Tiny Habits: The Small Changes That Change Everything. Houghton Mifflin Harcourt.

Responsible AI & Safety

Weidinger, L., et al. (2021). Ethical and social risks of harm from Language Models. arXiv preprint.

AI Governance

Partnership on AI (2023). AI Governance: Practical Guidance for Organizations.

AI Verification Practices

IEEE (2023). IEEE Standards for AI - Safety and Ethics Guidelines.

Australian Governance Standards

Australian Public Service (APS) Digital Governance Framework & Risk Management Standards (ISO 31000).

Content Categories

✓ Verified Facts

Statements grounded in peer-reviewed research or established industry practice:

  • • Behavioural science principles underlying habit formation
  • • AI safety and verification best practices
  • • Evidence-based learning design methodologies

→ Operational Specifications

Concrete programme details that define delivery and commitment:

  • • 4-week duration, 6-8 hours per week commitment
  • • Specific weekly deliverables (policy, workflows, checklist, plan)
  • • Selection-curated cohort approach
  • • Key dates for application and programme start

→ Aspirational Goals

Programme outcomes that participants work toward achieving:

  • • "Get 60 minutes back every day" (individual results vary)
  • • Personal AI operating system building (guided process)
  • • Quantifiable productivity gains (measured through capstone planning)

Fact-Checking Process

1

Identify All Claims

Systematic extraction of factual, operational, and aspirational statements.

2

Source Verification

Cross-reference against peer-reviewed research, industry standards, and professional guidelines.

3

Categorization

Classify as verified, operational, aspirational, or remove if unsupported.

4

Publication & Documentation

Document findings in transparent report with source citations.

Questions or Concerns?

We welcome questions about our content claims and verification methodology. Contact us directly:

privacy@wahub.ai