Ever worry that a single overconfident sentence in an AI briefing could invite legal, regulatory, or reputational fallout? This lesson shows you how to turn preliminary evidence into provisional, decision‑useful claims—using calibrated modals, scope limiters, evidence qualifiers, and jurisdiction‑savvy caveats. You’ll find concise explanations, regulator‑ready examples, and targeted exercises (MCQs, fill‑in‑the‑blank, and rewrites) to sharpen your phrasing. Finish with a self‑editing checklist you can apply to any deck, memo, or model card—precise, defensible, and executive‑ready.
Legal‑Safe Language in High‑Stakes AI: Safe Harbor Phrasing for Model Risk DisclosuresEver worry that a single overconfident sentence about your AI model could become a legal liability? By the end of this lesson, you’ll write regulator‑ready safe‑harbor phrasing that sets calibrated expectations, names assumptions and limits, and distinguishes present facts from forward‑looking statements across US and UK contexts. You’ll find crisp explanations, executive‑grade examples, and short exercises to lock in the five‑component method and the drafting playbook. The result: clear, defensible disclosures that protect trust without diluting substance.
Caveats that Hold Up: How to State Assumptions and Limitations without Losing ClarityEver had a solid claim fall apart under scrutiny because the caveats were vague or buried? This lesson shows you how to state assumptions and limitations with precision using the SALR framework—Scope, Assumptions, Limitations, Residual Risk—so your statements are clear, defensible, and regulator-ready. You’ll get concise guidance on calibrated phrasing for US/UK contexts, real-world examples, and targeted exercises to test your judgment. Finish able to write caveats that align expectations, survive audits, and protect credibility without diluting the message.