One q I’d like to have asked in terms of the audit capabilities as an example, would be, when/if KPMG run their old stratified approach to non flagged data sets, what are the % of false positives and why, ie how are they measuring the accuracy of all this.
One q I’d like to have asked in terms of the audit capabilities as an example, would be, when/if KPMG run their old stratified approach to non flagged data sets, what are the % of false positives and why, ie how are they measuring the accuracy of all this.
Thanks David for having David on. From someone with a middle name David.
Last point was very encouraging.
31:30 Social mobility & Fair progression
Staff social background at 15 is key determinant. Lacking access to 2 key components.
1. Network of people to help in career.
2. Confidence and belief.
Desire for a fairer more inclusive place.
And AI raises the mean performance and tellingly narrows the gap in performance.
i.e. greater benefit to those from lower socio-economic and educational backgrounds.
My summary not an AI one.
Look forward to more interesting posts navigating AI in our work and lives.