Much has been spoken and written about the risks to public trust and safety arising from the adoption of artificial intelligence (AI)-based applications across multiple sectors. In finance, the use of AI has led to discriminatory credit decisions. In healthcare, it has led to faulty medical diagnoses. In education, it has led to erroneous performance assessments. In agriculture, it has led to a widening gap between commercial and subsistence farmers.