Explain the EU AI Act’s risk levels
Summarise how the EU sorts AI systems by risk (banned, high-risk, transparency duties, minimal) with one everyday example for each level, plus what changes for general-purpose models.
Find out which laws, strategies and guidance apply to AI in your country, and fit them onto one page.
Few people, including many policymakers, have a clear picture of which AI rules already exist. A one-page map is a useful starting point for policy work.
Output: A one-page map: laws, strategies, regulators and gaps.
Use the OECD.AI Policy Observatory to list your country’s national AI strategy and policy initiatives.
Separate actual law (for the UK, search legislation.gov.uk) from strategies and voluntary guidance. Note which existing laws (data protection, equality, consumer) already cover AI.
Who enforces what? List the bodies involved, including any AI safety or security institute.
What kinds of AI harm are not clearly covered by anyone? Pick the gap you think matters most.
Make a simple diagram or table. Add the date, since rules change quickly, and share it.
All steps done
Share what you made, then try another project. The PDF version has room for notes.
Summarise how the EU sorts AI systems by risk (banned, high-risk, transparency duties, minimal) with one everyday example for each level, plus what changes for general-purpose models.
Which countries require AI developers to disclose safety testing, incidents or training details? Build a comparative tracker of transparency and disclosure rules.
Pick one decision-maker, one AI risk and one decision they actually face. Lay out the options and make a clear recommendation in two pages.
Millions of people talk to AI companions. Review the evidence on benefits and harms and propose proportionate safeguards.
Compare how countries handle biosecurity suspicious-activity reports (reporting chains, data storage, privacy, jurisdiction gaps) against the financial sector’s anti-money-laundering systems.