When AI gets it wrong, who's accountable: the code, the data, or the decision-maker?
I've seen algorithms misfire not because they're faulty, but due to human oversight.
The human element matters more than ever.
In data-driven marketing, decisions can make or break outcomes.
- Code can be flawless, but garbage data means disaster.
- Decision-makers must own their choices, accepting that AI isn't infallible.
I've watched as gut instincts saved campaigns data alone would have failed.
Accountability isn’t just assigning blame:
It's owning the tools and translating insights into action.
👉 Want real change? Start by questioning your own involvement.
Your move.