Ghana Events – Dangers of Oversharing on AI

Safe AI Interactions: Dangers of Oversharing on AI Privacy, Security, and Ethics for Everyday UseSummary: An accessible 90-minute session or a concise 45-minute version designed for individuals, educators, and small teams. Focuses on practical privacy protection, foundational security hygiene, and ethical considerations when engaging with AI tools.Learning outcomes:Recognize sensitive data categories not to share with AI tools.Understand data retention policies and how they affect privacy rights.Implement practical safeguards and governance for responsible AI use.Discuss ethical considerations and accountability in AI-enabled workflows.Safe-uses and guardrailsDefine what to share and what to redact: Provide a succinct, memorable checklist (Never share: identifiers, financial data, credentials, sensitive business data; Share non-identifying prompts or redacted data with caution).Encourage verification: Cross-check AI outputs with trusted sources; avoid acting on unverified advice when it could affect safety or legality.Promote data-minimization: Use the minimum data necessary, mock data for training, and anonymized or synthetic datasets when possible.Teach consent and policy literacy: Understand and compare platform terms of service, privacy notices, and opt-out options for data usage.Delivery formats90-minute version: Comprehensive coverage with interactive polls, Q&A, scenario discussions, and downloadable handouts.45-minute version: Condensed core content focusing on the most impactful data categories, essential safeguards, and quick-start guidance.