AI technologies can be used for formative or summative purposes in educational assessment. Public perception in this area has often focused on the lack of human interaction and judgement when automated marking technologies are applied. This talk will demonstrate that in many ways, the opposite is true, which is boldly supported by findings and data from efficacy research Pearson has done. The use of artificial intelligence allows the judgement of hundreds of human assessors to work in unison, increasing validity and addressing bias and low reliability issues. These technologies significantly reduce teacher workload in terms of marking student work, yet still benefiting from diagnostic feedback on their students. They have also proved highly effective and flexible in terms of test delivery and administration for online distance education accelerated by the Covid pandemic.