Redefining data accountability in the age of AI
Who holds the reins when it comes to AI decision-making in your organisation?
While IT may own the AI tools, the data itself, particularly unstructured data like documents in SharePoint, can create grey areas. Decision-making on what data AI can access may require legal, compliance, and business leader involvement; prompting organisations to revisit their RACI (Responsible, Accountable, Consulted, Informed) frameworks. AI also reshuffles priorities, making data lineage and provenance essential considerations to ensure accuracy and reliability.
In this video, Antony Marlow, Director of Data Management at Cynozure, discusses the need for companies to reassess who holds responsibility and accountability for data used by AI.
