PRIDAR - AI Investment and Risk Management by Intelligent Profiling
The business case for PRIDAR:
Managing the Wayward AI Contractor Challenge
'In non-technical discussions around AI in the 'C-Suite' it appears wise to assume AI is just a very young, bright, opinionated, wayward contractor who everyone likes and who understands you, but you cannot understand its motives and methods. How should you and others train and manage such a resource and its allegiances? (source Prof. Joseph Connor)
Managing the Wayward AI Contractor Challenge
'In non-technical discussions around AI in the 'C-Suite' it appears wise to assume AI is just a very young, bright, opinionated, wayward contractor who everyone likes and who understands you, but you cannot understand its motives and methods. How should you and others train and manage such a resource and its allegiances? (source Prof. Joseph Connor)
CarefulAI assert that you cannot answer the questions above until you know how many AI contractors you use and their dependencies on each other. PRIDAR surfaces these contractors and the opportunities and risks they present. Most 'C-Suite' members incorrectly believe they are aware of the AI they use. In 95% of cases they are surprised find out they are wrong. The impact of these risks can be manyfold: loss of IP and company secrets, AI suppliers becoming competitors, lack of regulatory compliance, AI supplier 'lock-in', becoming un-insurable, the cost of AI enabled products becomes unsustainable.
The risks and opportunities your AI supply chain imposes on the 'C-Suite' becomes transparent using PRIDAR. That is why it has become the standard for reviewing AI investments in the public and private sectors. PRIDAR enables real world benchmarking, for example, in healthcare. It also allows the implementation of AI supply chain management risk management. The opportunities and risks arising from PRIDAR reviews are managed by AI Agents in collaboration with customer staff trained in design, development and deployment best practices.
The risks and opportunities your AI supply chain imposes on the 'C-Suite' becomes transparent using PRIDAR. That is why it has become the standard for reviewing AI investments in the public and private sectors. PRIDAR enables real world benchmarking, for example, in healthcare. It also allows the implementation of AI supply chain management risk management. The opportunities and risks arising from PRIDAR reviews are managed by AI Agents in collaboration with customer staff trained in design, development and deployment best practices.
Suppliers by Region Assessed using PRIDAR
|
PRIDAR Risks and Opportunities management via AI Investment Sandboxs/Sandpits
PRIDAR in all cases, is adapted to meet a commissioner's risk appetite. As a consequence, AI Investment Sandoxs/Sandpits are seldom the same. It is not unusual that an AI supplier may be contracted with by one AI commissioner and asked to enter their AI Investment Sandbox/Sandpit by another. So, the validity of using an AI suppliers customers as a valid 'badge of honour' is questionable.
PRIDARs support for ISO Usage
Featured by