If a flawed training dataset causes bias, and the Data Steward's process execution is scrutinized, where might the ultimate accountability for accepting that data often rest?
Answer
The CDO or CAIO, depending on who owned the final sign-off authority documented in the governance charter
If a flawed training dataset causes bias, while the Data Steward's process execution is scrutinized, the ultimate accountability for accepting that data for use often rests with the CDO or CAIO, based on who owned the final sign-off authority documented in the governance charter.
Related Questions
What is the Board of Directors' primary responsibility regarding AI oversight, distinct from micromanaging algorithms?How do many organizations often embed AI oversight duties into their existing board structure?Which competency is cited as key for directors to engage meaningfully with management's AI reports?What primary function does the Chief AI Officer (CAIO) often fulfill in executive AI leadership?Which executive role is tasked with integrating AI-specific risks, such as model risk and regulatory breach, into the enterprise risk management structure?What is the primary role of an AI Review Board or Ethics Committee at the operational level?What is the specific responsibility of Data Stewards at the development level?Which key role emphasis characterizes the 'Growth Phase' according to the maturity stage comparison table?If a flawed training dataset causes bias, and the Data Steward's process execution is scrutinized, where might the ultimate accountability for accepting that data often rest?What future role is expected to become standard, specializing in building and testing fail-safe mechanisms independent of core application logic?