How to be a data influencer and close the AI trust deficit

What does it take to be a data influencer rather than just a data presenter? Our research into digital transformation and AI for the APM points to three critical capabilities.

Apply critical thinking

Most people transmit data: they show the numbers, present the dashboard and share the AI recommendation. Data influencers translate it. They ask three questions before presenting anything: Where did this data come from? How was it processed into this recommendation? Does this actually serve our project goals?

This requires knowing when to trust AI and when to override it. That judgement starts with critical thinking about the data itself. Our research revealed persistent concerns about data quality, and the fundamental challenge is this; small data errors cascade through entire projects. Garbage in, garbage out, so a data influencer’s first critical task is challenging the sanctity of the data before anyone treats the AI output as truth.

Recognise what algorithms cannot see…

Read more at https://www.apm.org.uk/blog/how-to-be-a-data-influencer-and-close-the-ai-trust-deficit/