ISO42001 requires that an organisation should establish and document AI operational activity. To meet the basic requirements of the Standard an organisation should define system and performance monitoring data at key stages.
Systems monitoring might include checking for errors and failures within AI development programmes as well as checking to ensure that AI is performing as required within design plans etc.
Certain AI systems will develop over time and their performance will be tested by machine learning. Where this model is deployed continuous monitoring techniques are required to validate results.
In addition, some AI products can alter over time that do not use ML. In such instances the organisation should adopt measures to identify the need for re-training to avert systems drift and to ensure that AI solutions continue to meet the original design goals.
Procedures should be adopted for system repairs to AI solutions over a period of time. Such repair interventions should be recorded and tested. This can arise from customer feedback from systems failures or the AI solution failing to meet customer needs.
Clear support mechanisms should be established to ensure that interested parties are kept abreast of AI updates and changes made by the organisation.
Furthermore, data security threats identified over time that may impact upon the AI solution should be identified and treated. These might include data sabotage, data theft and modelling breaches. In such instances these occurrences must be treated as information security breaches and investigated accordingly.
For further information and to book your BS 1SO 42001 Artificial intelligence – management systems survey please contact: Marcus J Allen at Thamer James Ltd. Email: [email protected]
Marcus has twenty years’ experience in delivering Governance, Risk and Compliance solutions to over two hundred organisations within the UK. Marcus holds the respected Diploma in Governance, Risk and Compliance from the International Compliance Association and holds a master’s degree in Management Learning & Change from the University of Bristol. Marcus has attended various courses on AI development at Oxford University.