More organizations use AI in their day-to-day processes, but there’s still debate over who owns and manages AI. Contact centers, IT departments, data analysts, security teams and more can reasonably claim ownership of an organization’s AI, which can cause differences in AI strategies, governance and execution. The departmental ownership question also presents an issue with who takes responsibility when AI does something it shouldn’t. Below are articles that talk about AI ownership in the enterprise.
The orchestration question: Who actually owns AI in the enterprise?
AI has become a part of every business function, meaning contact centers, security teams, data teams, IT departments and more have legitimate claims to its ownership. This creates challenges with AI strategy, governance and execution.
AI at work is creating decision debt. Can your organization still explain its own decisions?
AI decision debt is an emerging governance issue. Organizations need to be able to track, audit and explain why AI-powered decisions are made.
Who owns the customer truth in an AI-driven contact center?
Customer interaction data is spread across different platforms and systems, meaning human agents have had to work with multiple systems to put together context. However, AI agents don’t work like this.
Gen AI is creating work. Who owns the results?
Generative AI creates transcripts, meeting summaries, next steps and more, but like all tools, it isn’t always correct. Who is accountable when inaccurate or incomplete information gets spread because of Gen AI.
