Why it’s important for business executives to lead the way with a strong and ethical AI framework

The most savvy business leaders know that developing a strong artificial intelligence governance framework is not just the right thing to do, it’s actually just good for the bottom line — especially as investors become more knowledgeable and regulators come knocking. 

And implementing any AI system responsibly starts with thoughtful leadership at the executive level, according to Cansu Canca, director of responsible AI practice at Northeastern University’s Institute for Experiential AI and a research associate professor in philosophy.

“It has to be the case that the leadership takes it upon themselves and really champion this,” Canca says. “Because without them, it’s just not going to stick.”

That top-down approach works across industry, Canca says, from a financial services company looking to reduce the time required to analyze thousands of data sets or a big-box retailer looking to automate its customer service operations.  

“It’s not only the ethicists or the developers that are worried about what may go into an AI system,” she says.

Canca was the faculty lead at this week’s “Responsible AI Executive Education” course held on Northeastern’s Boston campus. The two-day training was designed for current and aspiring C-Suite executives looking to pioneer responsible AI practices in their organizations.

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