AI literacy per sector.
Article 4 applies to every sector, but the risk profile, supervision and roles differ greatly. For each main sector we show what is at play, which legislation is relevant and which SAIG level fits which role.
Ten main sectors
Healthcare & wellbeing
Special-category data (GDPR art. 9), MDR/IVDR and IGJ supervision. AI in diagnostics and reporting.
View healthcare →Government & public sector
Algorithm register, IAMA/FRIA and high-risk in law enforcement and public services.
View government →Financial sector
Credit scoring and insurance pricing as high-risk; DNB, AFM and DORA.
View financial →Education & research
Admission, assessment and proctoring are high-risk; emotion recognition is prohibited.
View education →Legal sector
Confidentiality, professional ethics and the NOvA recommendations; verification of AI output.
View legal →Professional services
HR AI is high-risk; AFM and NBA are tightening supervision of audit tooling.
View professional services →ICT, media & creative
Highest AI adoption; Article 50 transparency, the DSA and copyright converge.
View ICT and media →Industry & manufacturing
Annex I via product safety: Machinery Regulation, NIS2 and ISO/IEC 42001.
View industry →Construction, energy & utilities
Critical infrastructure as high-risk; NIS2 and the smart grid management code.
View construction and energy →Retail, wholesale & logistics
HR AI high-risk, facial recognition prohibited in principle, transparency in pricing.
View retail and logistics →Not sure which sector?
Schedule an orientation call.
Does your organisation operate across sectors, or are you unsure about your risk profile? We are happy to help you identify the appropriate SAIG route.