AI literacy: a new organisational obligation, not just training
Why AI competencies should be treated as part of governance, risk management and organisational accountability, rather than as one-off employee training.
ORAI publications
Practical analysis of the key regulatory, organisational and technological issues involved in implementing and using AI systems.
ORAI publications explain how artificial intelligence regulation translates into governance, risk assessment, documentation, human oversight, vendor relationships, HR and organisational accountability.
Why AI competencies should be treated as part of governance, risk management and organisational accountability, rather than as one-off employee training.
How to assess AI systems used in recruitment, workforce management, performance assessment, workforce analytics and other employment-related processes.
The mere presence of a person in a decision-making process does not always constitute effective oversight of an AI system. We explain when human oversight can be a genuine control mechanism and when it remains a formality.
What legal, compliance, IT and business owners should ask before deploying a third-party AI tool, from system classification and data to documentation, security, auditability and vendor accountability.
An AI policy can be an important part of organisational governance, but it does not replace system classification, risk assessment, documentation, oversight, vendor management or the monitoring of AI use in practice.
ORAI library
The ORAI library will grow to include analysis, commentary and expert materials on AI regulation and the practical aspects of implementing artificial intelligence systems, with particular attention to data governance, cybersecurity, technology vendors and management accountability.