The Role of Data Science Skills in the Auditing and Monitoring of AI Standards
Research for the BS30440 Evidence Framework: V1.05, October 11 2023
Conduced in support of the BSI Work Group: BSI CH304/-/1
Conduced in support of the BSI Work Group: BSI CH304/-/1
Key for Auditor Type
PC = Process Consultant: BSc or Higher
DA = Data Analyst. Qualifications: BSc in IT or Computer Science
DS = Data Scientist. Qualification: MSc or Higher in Computer Science
PC = Process Consultant: BSc or Higher
DA = Data Analyst. Qualifications: BSc in IT or Computer Science
DS = Data Scientist. Qualification: MSc or Higher in Computer Science
Conclusions
The evidence to comply with BS 30440 mirrors UK, EU and US Regulators requirements for increased 'Good Machine learning Practice' evidence relating to safe and ethical data science practice.
To comply with BS30440 and similar AI product standards (e.g EU AI Act, BS 42001, 23894 et al) suppliers will need to pull together more data science evidence that they would need to comply with other lifecycle standards (e.g. the BS 140** series, ISO 13485 etc).
This will require governance and audit staff to develop high level data science resources and review tools.
The evidence to comply with BS 30440 mirrors UK, EU and US Regulators requirements for increased 'Good Machine learning Practice' evidence relating to safe and ethical data science practice.
To comply with BS30440 and similar AI product standards (e.g EU AI Act, BS 42001, 23894 et al) suppliers will need to pull together more data science evidence that they would need to comply with other lifecycle standards (e.g. the BS 140** series, ISO 13485 etc).
This will require governance and audit staff to develop high level data science resources and review tools.