What are examples of specific AI applications that would be considered high-risk under the AIA

In Annex III of the EU AI act, the EU has specified a series of specific examples that are considered high-risk:

• Non-banned biometrics: Remote biometric identification systems, excluding biometric verification that confirm a person is who they claim to be. Biometric categorisation systems inferring sensitive or protected attributes or characteristics. Emotion recognition systems.
• Critical infrastructure: Safety components in the management and operation of critical digital infrastructure, road traffic and the supply of water, gas, heating and electricity.
• Education and vocational training: AI systems determining access, admission or assignment to educational and vocational training institutions at all levels. Evaluating learning outcomes, including those used to steer the student’s learning process. Assessing the appropriate level of education for an individual. Monitoring and detecting prohibited student behaviour during tests.
• Employment, workers management and access to self-employment: AI systems used for recruitment or selection, particularly targeted job ads, analysing and filtering applications, and evaluating candidates. Promotion and termination of contracts, allocating tasks based on personality traits or characteristics and behaviour, and monitoring and evaluating performance.
• Access to and enjoyment of essential public and private services: AI systems used by public authorities for assessing eligibility to benefits and services, including their allocation, reduction, revocation, or recovery. Evaluating creditworthiness, except when detecting financial fraud. Evaluating and classifying emergency calls, including dispatch prioritising of police, firefighters, medical aid and urgent patient triage services. Risk assessments and pricing in health and life insurance.
• Law enforcement:  AI systems used to assess an individual’s risk of becoming a crime victim. Polygraphs. Evaluating evidence reliability during criminal investigations or prosecutions. Assessing an individual’s risk of offending or re-offending not solely based on profiling or assessing personality traits or past criminal behaviour. Profiling during criminal detections, investigations or prosecutions.
• Migration, asylum and border control management:  Polygraphs. Assessments of irregular migration or health risks. Examination of applications for asylum, visa and residence permits, and associated complaints related to eligibility. Detecting, recognising or identifying individuals, except verifying travel documents.
• Administration of justice and democratic processes:  AI systems used in researching and interpreting facts and applying the law to concrete facts or used in alternative dispute resolution. Influencing elections and referenda outcomes or voting behaviour, excluding outputs that do not directly interact with people, like tools used to organise, optimise and structure political campaigns.